From dfc6e5c6033b602ad38730e7238efd8fc2974915 Mon Sep 17 00:00:00 2001
From: johanna-mohr <joeaimee.m@gmail.com>
Date: Thu, 24 Oct 2024 11:23:23 +0200
Subject: [PATCH 01/25] short description GUI

---
 docs/visitor/model/results.md | 26 ++++++++++++++++++++++++++
 1 file changed, 26 insertions(+)

diff --git a/docs/visitor/model/results.md b/docs/visitor/model/results.md
index 4ddb5b8..18a1eba 100644
--- a/docs/visitor/model/results.md
+++ b/docs/visitor/model/results.md
@@ -1,3 +1,29 @@
+# Description GUI
+
+Structure: 
+
+- Scenario: select the data to be displayed
+
+- Other: if necessary, the scaling of the y-axis can be changed here by changing the unit
+
+- Graph: selection of the plot type and display
+
+- Display: illustration and labeling
+
+- Load Filter Settings: load ready-made and saved diagrams
+
+- Render chart and table: load chart
+
+- Chart: displays diagram
+
+- Table: list of the data used
+
+Other Notes:
+
+- Make sure that the units of the selected data match 
+
+- If you only want to represent input or output data and not both, make sure to select no_input/no_output, otherwise they will be considered in the diagram
+
 # Results
 
 ## Changes in technology

From f56ae0932f87f8835a759be15bbacab8a615e743 Mon Sep 17 00:00:00 2001
From: johanna-mohr <joeaimee.m@gmail.com>
Date: Fri, 25 Oct 2024 23:32:33 +0200
Subject: [PATCH 02/25] Update GUI description

---
 docs/visitor/model/results.md | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/docs/visitor/model/results.md b/docs/visitor/model/results.md
index 18a1eba..dd27895 100644
--- a/docs/visitor/model/results.md
+++ b/docs/visitor/model/results.md
@@ -1,5 +1,12 @@
 # Description GUI
 
+What can the GUI do?
+
+The data fed in can be displayed graphically using the GUI. 
+This can be filtered in various degrees of detail to adapt the display to your own requirements. 
+In this way, it is possible to display anything from a general overview of an entire sector to a detailed representation of an individual process.
+
+
 Structure: 
 
 - Scenario: select the data to be displayed

From d3e3a2d7f5bc18a562d89ab32a77b120883784b5 Mon Sep 17 00:00:00 2001
From: johanna-mohr <joeaimee.m@gmail.com>
Date: Sat, 26 Oct 2024 22:00:05 +0200
Subject: [PATCH 03/25] first try line diagrams emissions

---
 docs/visitor/model/results.md | 34 ++++++++++++++++++++++++++++++++++
 1 file changed, 34 insertions(+)

diff --git a/docs/visitor/model/results.md b/docs/visitor/model/results.md
index dd27895..d00e996 100644
--- a/docs/visitor/model/results.md
+++ b/docs/visitor/model/results.md
@@ -113,6 +113,40 @@ More complex sankey variations:
 <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=785" width="1000" height="750"></iframe>
 
 
+
+
+
+# Emissions
+
+The following four diagrams show the different emissions of the processes aluminum_sec_0 and its successor aluminum_sec_1. 
+In general, it can be seen that the emissions decrease over the years and level off at a relatively constant value.
+
+<div style="display: flex; flex-direction: column;">
+  <div style="display: flex; justify-content: space-between; align-items: flex-start;">
+    <div style="flex: 1; padding-right: 20px;">
+      <h3>aluminium_sec CO2</h3>
+      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1010" width="800" height="450"></iframe>
+    </div>
+    <div style="flex: 1; padding-left: 20px;">
+      <h3>aluminium_sec N2O</h3>
+      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1014" width="800" height="450"></iframe>
+    </div>
+  </div>
+</div>
+
+<div style="display: flex; flex-direction: column;">
+  <div style="display: flex; justify-content: space-between; align-items: flex-start;">
+    <div style="flex: 1; padding-right: 20px;">
+      <h3>aluminium_sec CH4</h3>
+      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1017" width="800" height="450"></iframe>
+    </div>
+    <div style="flex: 1; padding-left: 20px;">
+      <h3>aluminium_sec total</h3>
+      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1022" width="800" height="450"></iframe>
+    </div>
+  </div>
+</div>
+
 [//]: # ()
 [//]: # (sec-pri-inputs to process to sec waste heat output:)
 

From 95d220a087456d8bcbc90de7fde4f830104e1276 Mon Sep 17 00:00:00 2001
From: johanna-mohr <joeaimee.m@gmail.com>
Date: Sun, 27 Oct 2024 18:19:21 +0100
Subject: [PATCH 04/25] Update line diagrams

---
 docs/visitor/model/results.md | 33 +++++++++++++++++++++++++++++++++
 1 file changed, 33 insertions(+)

diff --git a/docs/visitor/model/results.md b/docs/visitor/model/results.md
index d00e996..99d0789 100644
--- a/docs/visitor/model/results.md
+++ b/docs/visitor/model/results.md
@@ -147,6 +147,39 @@ In general, it can be seen that the emissions decrease over the years and level
   </div>
 </div>
 
+
+Same for glass_spec:
+
+<div style="display: flex; flex-direction: column;">
+  <div style="display: flex; justify-content: space-between; align-items: flex-start;">
+    <div style="flex: 1; padding-right: 20px;">
+      <h3>glass_spec CO2_f</h3>
+      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1027" width="800" height="450"></iframe>
+    </div>
+    <div style="flex: 1; padding-left: 20px;">
+      <h3>glass_spec CO2_p</h3>
+      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1030" width="800" height="450"></iframe>
+    </div>
+  </div>
+</div>
+
+<div style="display: flex; flex-direction: column;">
+  <div style="display: flex; justify-content: space-between; align-items: flex-start;">
+    <div style="flex: 1; padding-right: 20px;">
+      <h3>glass_spec N2O</h3>
+      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1034" width="800" height="450"></iframe>
+    </div>
+    <div style="flex: 1; padding-left: 20px;">
+      <h3>glass_spec CH4</h3>
+      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1036" width="800" height="450"></iframe>
+    </div>
+  </div>
+</div>
+
+glass_spec total emissions: 
+<iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1040" width="800" height="450"></iframe>
+
+
 [//]: # ()
 [//]: # (sec-pri-inputs to process to sec waste heat output:)
 

From d2eb388fdc31748f31ce3df66e55167e4354b332 Mon Sep 17 00:00:00 2001
From: gard_he <hedda.gardian@dlr.de>
Date: Tue, 29 Oct 2024 14:24:25 +0100
Subject: [PATCH 05/25] Added transport.md

---
 docs/graphics/nomenclature_transport.png | Bin 0 -> 40451 bytes
 docs/visitor/structure/transport.md      |  65 +++++++++++++++++++++++
 2 files changed, 65 insertions(+)
 create mode 100644 docs/graphics/nomenclature_transport.png
 create mode 100644 docs/visitor/structure/transport.md

diff --git a/docs/graphics/nomenclature_transport.png b/docs/graphics/nomenclature_transport.png
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diff --git a/docs/visitor/structure/transport.md b/docs/visitor/structure/transport.md
new file mode 100644
index 0000000..55a4af4
--- /dev/null
+++ b/docs/visitor/structure/transport.md
@@ -0,0 +1,65 @@
+# Transport sector
+
+## Naming convention
+The transportation sector in the SEDOS dataset is divided into road, water, air and rail modes. The road-based vehicles include light (*l*), medium (*m*) and heavy (*h*) cars and trucks as well as coaches (*long* distance) and buses (*short* distance), motorcycles and special vehicles in the agricultural (*agri*) and construction (*const*) industries. For waterway transport, the focus is on inland freight shipping. In the field of aviation, a distinction is made between domestic flights (*natio*), European flights (*europ*) and intercontinental (*inter*) flights and passenger transportation alone is accounted for. Finally, a distinction is made between short-haul (streetcars, shunting operations) and long-haul (long-distance trains) for both passenger (*pass*) and freight (*frei*) rail transport. A suitable selection of drive technologies (internal combustion engine vehicle – icev, hybrids – hyb, fuel cell electric vehicle – fcev, battery electric multiple unit meaning a combination of batteries and overhead cables – bemu, battery electric vehicles – bev and overhead electric vehicles – oev) and fuels is combined for all vehicle types and organized as separate processes in the model structure. The nomenclature for process naming follows the system below, that is further explained in Table 1:
+tra_rail_hyb_pass_short_hydrogen_0.
+
+*Table 1: Nomenclature for the transport sector process naming.*
+
+| Sector | Mode   | Type (including information on weight) | Drive Technology | Transported Unit | Specification | Fuel      | Stock/Expansion |
+|--------|--------|----------------------------------------|------------------|------------------|---------------|-----------|-----------------|
+| tra    | road   | car/lcar/mcar/hcar                    | icev             | pass             | long          | ammonia   | 0               |
+|        | water  | truck/ltruck/mtruck/htruck            | hyb              | frei             | short         | gasoline  | 1               |
+|        | air    | bus                                   | fcev             |                  | natio         | diesel    |                 |
+|        | rail   | motorc                                | bemu             |                  | europe        | hydrogen  |                 |
+|        |        | agri                                  | bev              |                  | inter         | methanol  |                 |
+|        |        | const                                 | oev              |                  | wallbox       | ethanol   |                 |
+|        |        |                                       | engine           |                  | cng           |           |                 |
+|        |        |                                       | battery          |                  | lpg           |           |                 |
+|        |        |                                       | inflex           |                  | lng           |           |                 |
+|        |        |                                       | flex             |                  | elec          |           |                 |
+|        |        |                                       | g2v              |                  | kerosene      |           |                 |
+|        |        |                                       | v2g              |                  | coal          |           |                 |
+|        |        |                                       |                  |            
+
+
+## General modeling approach
+
+When modeling all vehicles apart from battery electric cars and trucks, a simplified and inflexible approach is used. This means that these vehicles have a fixed, exogenously specified driving profile and the fuel tank is not taken into account as a possible buffer between fuel energy demand and the provision of driving power. This is based on the assumption that, in contrast to BEVs, the refueling process is evened out across the fleet and takes place during the driving process rather than being decoupled during parking times. In addition, the fuel supply chain is seen as having a high storage capacity that is not available in the electricity grid in the same form, which is why a detailed consideration of batteries and the charging process is considered for BEVs (trucks and cars). 
+
+In the case of inflexible vehicles, only the composition of the fleet is optimized, i.e. the choice of drive technology and fuel type for medium sized cars. The modal split, i.e. the distribution of demand between vehicle types (hcars, mcars, lcars, buses, trains, etc.), is specified in exogenous demand variables, e.g. exo_road_car_pkm.
+The general modeling follows the scheme below: 
+
+![Figure 1: Modeling schema for vehicles without explicitly modelled storage/tank.](../../graphics/nomenclature_transport.png)
+
+The input energy is transformed into the output commodities via indicators. Accordingly, the ratio of input to output flows is specified, taking into account the occupancy rate for passenger transport and the tonnage for freight transport in the information on transport services. For example: 
+
+            1 kWh        \u2192     10 vehicle_km * 3 p/vehicle + 0.005 t 
+            sec_diesel   \u2192         exo_road_car_pkm        + emi_co2_f_tra
+is transformed to
+            1 kWh        \u2192       30 pkm                 +    0.005 t     
+            sec_diesel   \u2192      exo_road_car_pkm        + emi_co2_f_tra
+This means that the direct efficiencies are not given as a percentage but rather by indicator ratios.
+
+## Battery electric vehicle (BEV) modeling approach
+
+The detailed modeling of the BEVs provides for a separation of the fleet into three parts representing the charging modes: user-controlled charging (no optimization possible), system-controlled charging and system-controlled charging with the option of feeding back into the grid (see dark blue boxes in Figure 2). Their ratio is given exogenously. In the data the electric vehicle process (and with it each of the charging modes) is furthermore divided into 4 sub-processes: wallbox, battery, engine and an auxiliary helper process that contains overarching parameters, such as occupancy rate or tonnage. 
+
+This results in a differentiation of 11 processes for each electric vehicle type: 3 modes times 3 sub-processes plus a further wallbox process, which represents the feed-in of electricity back into the grid, and an additional superordinate auxiliary process. Since the modeled wallbox, for example, does not differ in any of the cases, there is a certain redundancy of information, but this is necessary because the boundary conditions differ in the modeling and therefore these sub-processes can this way described accurately.
+The resulting indicator ratios are as follows and can also be found in Figure 2:
+
+1.	**Wallbox efficiency** (sec_elec * ɳwallbox_G2V = sec_elec_wallbox):
+        sec_elec \u2192 sec_elec_wallbox   
+2.	**Charging/Discharging effiency** (sec_wallbox* ɳbattery_in* ɳbattery_out = sec_battery):
+        sec_wallbox \u2192 sec_battery
+2.1 **Grid Feed-in** (sec_battery * ɳwallbox_V2G * ɳbattery_in* ɳbattery_out = sec_elec):
+        sec_battery \u2192 sec_elec
+3.	**Engine efficiency** (sec_battery * ɳengine*occupancy_rate = exo_road_car_pkm):
+        sec_battery \u2192 exo_road_car_pkm
+
+
+  
+
+
+
+

From 47035889cd6d6c73ddf62d323b8debba1bea55fd Mon Sep 17 00:00:00 2001
From: johanna-mohr <joeaimee.m@gmail.com>
Date: Tue, 29 Oct 2024 17:00:36 +0100
Subject: [PATCH 06/25] Update GUI description

---
 docs/visitor/model/results.md | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/docs/visitor/model/results.md b/docs/visitor/model/results.md
index 99d0789..e65d490 100644
--- a/docs/visitor/model/results.md
+++ b/docs/visitor/model/results.md
@@ -13,9 +13,9 @@ Structure:
 
 - Other: if necessary, the scaling of the y-axis can be changed here by changing the unit
 
-- Graph: selection of the plot type and display
+- Graph: selection of the plot type and display; if required, add subplots; define x- and y-axis and if helpful change the coloring depending on the different choosing options under scenario
 
-- Display: illustration and labeling
+- Display: illustration and labeling; change x- and y-title and add a legend if required
 
 - Load Filter Settings: load ready-made and saved diagrams
 
@@ -31,6 +31,9 @@ Other Notes:
 
 - If you only want to represent input or output data and not both, make sure to select no_input/no_output, otherwise they will be considered in the diagram
 
+- for bar and line plots: make sure to change the x- and y-axis to the right value you want to plot
+
+
 # Results
 
 ## Changes in technology

From 4121940e96d6c4f75cf1448b2135a54adb6702f0 Mon Sep 17 00:00:00 2001
From: johanna-mohr <joeaimee.m@gmail.com>
Date: Fri, 1 Nov 2024 22:31:13 +0100
Subject: [PATCH 07/25] Update description GUI

---
 docs/visitor/model/results.md | 23 ++++++++++++++++++++---
 1 file changed, 20 insertions(+), 3 deletions(-)

diff --git a/docs/visitor/model/results.md b/docs/visitor/model/results.md
index e65d490..394cb1c 100644
--- a/docs/visitor/model/results.md
+++ b/docs/visitor/model/results.md
@@ -6,8 +6,15 @@ The data fed in can be displayed graphically using the GUI.
 This can be filtered in various degrees of detail to adapt the display to your own requirements. 
 In this way, it is possible to display anything from a general overview of an entire sector to a detailed representation of an individual process.
 
+Structure of the data:
 
-Structure: 
+The data describe different sectors with the respective processes and their input and output groups. 
+The processes can be aggregated, on the one hand with the help of categories that divide the sectors into individual areas, or through the specifications
+A distinction is also made between different parameters, depending on the type of data being considered.
+In addition, the data is available for several years over decades, which makes it possible to analyze the development
+
+
+Structure of the GUI: 
 
 - Scenario: select the data to be displayed
 
@@ -19,15 +26,25 @@ Structure:
 
 - Load Filter Settings: load ready-made and saved diagrams
 
+- Save Filer Settings: If you have filter settings that you want to save for later analysis, you can enter a title in the box next to this button and save it after you have finished setting the filters
+
 - Render chart and table: load chart
 
 - Chart: displays diagram
 
 - Table: list of the data used
 
-Other Notes:
+How to create a plot:
+
+- there are three types of plots, all with different advantages and disadvantages, depending on what you want to display:
+    - bar
+    - line
+    - sankey: "flow-diagram", especially helpful for representing input and output flows of processes, categories in general etc.
+
+
+- especially for plots that take different processes, inputs/outputs etc. in consideration, coloring can be very helpful. You can set the characteristic by which the colors are to be differentiated, depending on what you want to display
 
-- Make sure that the units of the selected data match 
+- Make sure that the units of the selected data match
 
 - If you only want to represent input or output data and not both, make sure to select no_input/no_output, otherwise they will be considered in the diagram
 

From 1f8db92e2c32dd3f218cda634fd776e16de99fc4 Mon Sep 17 00:00:00 2001
From: johanna-mohr <joeaimee.m@gmail.com>
Date: Sun, 3 Nov 2024 11:00:01 +0100
Subject: [PATCH 08/25] Update description

---
 docs/visitor/model/results.md | 46 ++++++++++++++++++++++-------------
 1 file changed, 29 insertions(+), 17 deletions(-)

diff --git a/docs/visitor/model/results.md b/docs/visitor/model/results.md
index 394cb1c..1c5e03f 100644
--- a/docs/visitor/model/results.md
+++ b/docs/visitor/model/results.md
@@ -1,46 +1,58 @@
 # Description GUI
 
-What can the GUI do?
+## What can the GUI do?
 
 The data fed in can be displayed graphically using the GUI. 
 This can be filtered in various degrees of detail to adapt the display to your own requirements. 
 In this way, it is possible to display anything from a general overview of an entire sector to a detailed representation of an individual process.
 
-Structure of the data:
+## Structure of the data:
 
 The data describe different sectors with the respective processes and their input and output groups. 
 The processes can be aggregated, on the one hand with the help of categories that divide the sectors into individual areas, or through the specifications
 A distinction is also made between different parameters, depending on the type of data being considered.
 In addition, the data is available for several years over decades, which makes it possible to analyze the development
 
+## Structure of the GUI: 
 
-Structure of the GUI: 
+- **Scenario**: select the data to be displayed
 
-- Scenario: select the data to be displayed
+- **Other**: if necessary, the scaling of the y-axis can be changed here by changing the unit
 
-- Other: if necessary, the scaling of the y-axis can be changed here by changing the unit
+- **Graph**: selection of the plot type and display; if required, add subplots; define x- and y-axis and if helpful change the coloring depending on the different choosing options under scenario
 
-- Graph: selection of the plot type and display; if required, add subplots; define x- and y-axis and if helpful change the coloring depending on the different choosing options under scenario
+- **Display**: illustration and labeling; change x- and y-title and add a legend if required
 
-- Display: illustration and labeling; change x- and y-title and add a legend if required
+- **Load Filter Settings**: load ready-made and saved diagrams
 
-- Load Filter Settings: load ready-made and saved diagrams
+- **Save Filer Settings**: If you have filter settings that you want to save for later analysis, you can enter a title in the box next to this button and save it after you have finished setting the filters
 
-- Save Filer Settings: If you have filter settings that you want to save for later analysis, you can enter a title in the box next to this button and save it after you have finished setting the filters
+- **Render chart and table**: load chart
 
-- Render chart and table: load chart
+- **Chart**: displays diagram
 
-- Chart: displays diagram
+- **Table**: list of the data used
 
-- Table: list of the data used
+## How to create a plot:
 
-How to create a plot:
+There are three types of plots, all with different advantages and disadvantages, depending on what you want to display:
 
-- there are three types of plots, all with different advantages and disadvantages, depending on what you want to display:
-    - bar
-    - line
-    - sankey: "flow-diagram", especially helpful for representing input and output flows of processes, categories in general etc.
+- bar: 
+    - simple, easy to interpret
+    - representation of discrete data
+- line:
+      - simple, easy to interpret, 
+      - representation of continuous data
+      - suitable for displaying temporal progressions
+- sankey:
+      - "flow-diagram"
+      - especially helpful for representing input and output flows of processes, categories in general etc.
 
+Thus while bar and line charts are well suited for comparing discrete/continuous data, sankey Diagrams can be used to visualize more complex flows and relationships
+
+So before starting to create a plot, think about what type of diagram best suits your simulation and depending on that choose the right filters.
+
+Other tips:
 
 - especially for plots that take different processes, inputs/outputs etc. in consideration, coloring can be very helpful. You can set the characteristic by which the colors are to be differentiated, depending on what you want to display
 

From 851d2193ab8feb8775d26984826f5fe41aa3373f Mon Sep 17 00:00:00 2001
From: johanna-mohr <joeaimee.m@gmail.com>
Date: Sun, 3 Nov 2024 22:03:38 +0100
Subject: [PATCH 09/25] Update instructions

---
 docs/visitor/model/results.md | 26 ++++++++++++++------------
 1 file changed, 14 insertions(+), 12 deletions(-)

diff --git a/docs/visitor/model/results.md b/docs/visitor/model/results.md
index 1c5e03f..15d8a45 100644
--- a/docs/visitor/model/results.md
+++ b/docs/visitor/model/results.md
@@ -1,27 +1,27 @@
 # Description GUI
 
-## What can the GUI do?
+## What the GUI can do
 
 The data fed in can be displayed graphically using the GUI. 
 This can be filtered in various degrees of detail to adapt the display to your own requirements. 
 In this way, it is possible to display anything from a general overview of an entire sector to a detailed representation of an individual process.
 
-## Structure of the data:
+## Structure of the data
 
 The data describe different sectors with the respective processes and their input and output groups. 
-The processes can be aggregated, on the one hand with the help of categories that divide the sectors into individual areas, or through the specifications
+The processes can be aggregated, on the one hand with the help of categories that divide the sectors into individual areas, or through the specifications.
 A distinction is also made between different parameters, depending on the type of data being considered.
-In addition, the data is available for several years over decades, which makes it possible to analyze the development
+In addition, the data is available for several years over decades, which makes it possible to analyze the development.
 
-## Structure of the GUI: 
+## Structure of the GUI
 
-- **Scenario**: select the data to be displayed
+- **Scenario**: set the filters to get the data to be displayed
 
-- **Other**: if necessary, the scaling of the y-axis can be changed here by changing the unit
+- **Other**: if necessary, the scaling of the y-axis can be changed here by changing the unit; labels can be added and the data can be normalized
 
 - **Graph**: selection of the plot type and display; if required, add subplots; define x- and y-axis and if helpful change the coloring depending on the different choosing options under scenario
 
-- **Display**: illustration and labeling; change x- and y-title and add a legend if required
+- **Display**: illustration of the plot; change x- and y-title and add a legend if required
 
 - **Load Filter Settings**: load ready-made and saved diagrams
 
@@ -33,7 +33,9 @@ In addition, the data is available for several years over decades, which makes i
 
 - **Table**: list of the data used
 
-## How to create a plot:
+- **Embed Chart**: 
+
+## How to create a plot
 
 There are three types of plots, all with different advantages and disadvantages, depending on what you want to display:
 
@@ -41,14 +43,14 @@ There are three types of plots, all with different advantages and disadvantages,
     - simple, easy to interpret
     - representation of discrete data
 - line:
-      - simple, easy to interpret, 
+      - simple, easy to interpret
       - representation of continuous data
       - suitable for displaying temporal progressions
 - sankey:
       - "flow-diagram"
-      - especially helpful for representing input and output flows of processes, categories in general etc.
+      - especially helpful for representing input and output flows of processes, categories etc.
 
-Thus while bar and line charts are well suited for comparing discrete/continuous data, sankey Diagrams can be used to visualize more complex flows and relationships
+Thus while bar and line charts are well suited for comparing discrete/continuous data, sankey Diagrams can be used to visualize more complex flows and relationships.
 
 So before starting to create a plot, think about what type of diagram best suits your simulation and depending on that choose the right filters.
 

From 665aabc6bd57d9e05d9bb935aca174bda3161d75 Mon Sep 17 00:00:00 2001
From: johanna-mohr <joeaimee.m@gmail.com>
Date: Mon, 4 Nov 2024 20:29:27 +0100
Subject: [PATCH 10/25] Update GUI Doku neuer Aufbau

---
 docs/visitor/model/gui.md     |  93 +++++++++++++++++++++-
 docs/visitor/model/results.md | 144 ++++++++++++++++++++++++----------
 mkdocs.yml                    |   2 +-
 3 files changed, 197 insertions(+), 42 deletions(-)

diff --git a/docs/visitor/model/gui.md b/docs/visitor/model/gui.md
index 15b7ce7..99d0c70 100644
--- a/docs/visitor/model/gui.md
+++ b/docs/visitor/model/gui.md
@@ -3,4 +3,95 @@
 The results and reference energy system can be explored using the [GUI](https://sedos.apps.rl-institut.de/).
 
 
-<span style="color:red">TODO: descriprion of the GUI </span>
\ No newline at end of file
+[//]: # (<span style="color:red">TODO: description of the GUI </span>)
+
+
+[//]: # (# Description GUI)
+
+## Why this GUI?
+To improve the transparency and reproducibility of the open source structure this GUI provides a few basic functionalities to explore the derived modeling base:
+
+- Looking into the underlying model structure of our reference energy system with the network graph.
+
+- Exploring the underlying input data of our model with an integrated table view.
+
+- See the aggregations steps defined in our model structure and download the different levels of detail .
+
+- Create charts based on possible model results as an outcome of different frameworks and scenarios using the same data.
+
+In the following, the last point, the presentation of the data in the form of charts, will be examined in more detail.
+
+To do this, a scenario must first be selected at the bottom right of the start page under “Explore the Model results” and the gui for creating charts can be accessed by clicking on “Explore Diagrams”.
+
+## Explore the Model results
+
+### What the GUI can do
+
+The data fed in can be displayed graphically using the GUI. 
+This can be filtered in various degrees of detail to adapt the display to your own requirements. 
+In this way, it is possible to display anything from a general overview of an entire sector to a detailed representation of an individual process.
+
+### Structure of the data
+
+The data describe different sectors with the respective processes and their input and output groups. 
+The processes can be aggregated, on the one hand with the help of categories that divide the sectors into individual areas, or through the specifications.
+A distinction is also made between different parameters, depending on the type of data being considered.
+In addition, the data is available for several years over decades, which makes it possible to analyze the development.
+
+### Structure of the GUI
+
+- **Scenario**: set the filters to get the data to be displayed
+
+- **Other**: if necessary, the scaling of the y-axis can be changed here by changing the unit as well as a change in the order e.g. of the bars in a bar diagram can be made; labels can be added and the data can be normalized
+
+- **Graph**: selection of the plot type and display; if required, add subplots; define x- and y-axis and if helpful change the coloring depending on the different choosing options under scenario
+
+- **Display**: illustration of the plot; change x- and y-title and add a legend if required
+
+- **Load Filter Settings**: load ready-made and saved diagrams
+
+- **Save Filer Settings**: If you have filter settings that you want to save for later analysis, you can enter a title in the box next to this button and save it after you have finished setting the filters
+
+- **Render chart and table**: load the chart
+
+- **Chart**: displays the diagram
+
+- **Table**: list of the data used in the diagram
+
+- **Embed Chart**: 
+
+### How to create a plot
+
+There are three types of plots, all with different advantages and disadvantages, depending on what you want to display:
+
+- bar: 
+    - simple, easy to interpret
+    - representation of discrete data
+- line:
+      - simple, easy to interpret
+      - representation of continuous data
+      - suitable for displaying temporal progressions
+- sankey:
+      - "flow-diagram"
+      - especially helpful for representing input and output flows of processes, categories etc.
+
+Thus while bar and line charts are well suited for comparing discrete/continuous data, sankey Diagrams can be used to visualize more complex flows and relationships.
+
+So before starting to create a plot, think about what type of diagram best suits your simulation and depending on that choose the right filters.
+
+Other tips:
+
+- especially for plots that take different processes, inputs/outputs etc. in consideration, coloring can be very helpful. You can set the characteristic by which the colors are to be differentiated, depending on what you want to display
+
+- Make sure that the units of the selected data match
+
+- If you only want to represent input or output data and not both, make sure to select no_input/no_output, otherwise they will be considered in the diagram
+
+- for bar and line plots: make sure to change the x- and y-axis to the right value you want to plot
+
+
+
+
+
+
+
diff --git a/docs/visitor/model/results.md b/docs/visitor/model/results.md
index 15d8a45..2022e62 100644
--- a/docs/visitor/model/results.md
+++ b/docs/visitor/model/results.md
@@ -1,69 +1,133 @@
-# Description GUI
+[//]: # (# Description GUI)
 
-## What the GUI can do
+[//]: # ()
+[//]: # (## Why this GUI?)
+
+[//]: # (To improve the transparency and reproducibility of the open source structure this GUI provides a few basic functionalities to explore the derived modeling base:)
+
+[//]: # ()
+[//]: # (- Looking into the underlying model structure of our reference energy system with the network graph.)
+
+[//]: # ()
+[//]: # (- Exploring the underlying input data of our model with an integrated table view.)
+
+[//]: # ()
+[//]: # (- See the aggregations steps defined in our model structure and download the different levels of detail .)
 
-The data fed in can be displayed graphically using the GUI. 
-This can be filtered in various degrees of detail to adapt the display to your own requirements. 
-In this way, it is possible to display anything from a general overview of an entire sector to a detailed representation of an individual process.
+[//]: # ()
+[//]: # (- Create charts based on possible model results as an outcome of different frameworks and scenarios using the same data.)
 
-## Structure of the data
+[//]: # ()
+[//]: # (In the following, the last point, the presentation of the data in the form of charts, will be examined in more detail.)
 
-The data describe different sectors with the respective processes and their input and output groups. 
-The processes can be aggregated, on the one hand with the help of categories that divide the sectors into individual areas, or through the specifications.
-A distinction is also made between different parameters, depending on the type of data being considered.
-In addition, the data is available for several years over decades, which makes it possible to analyze the development.
+[//]: # ()
+[//]: # (To do this, a scenario must first be selected at the bottom right of the start page under “Explore the Model results” and the gui for creating charts can be accessed by clicking on “Explore Diagrams”.)
 
-## Structure of the GUI
+[//]: # ()
+[//]: # (## Explore the Model results)
 
-- **Scenario**: set the filters to get the data to be displayed
+[//]: # ()
+[//]: # (### What the GUI can do)
 
-- **Other**: if necessary, the scaling of the y-axis can be changed here by changing the unit; labels can be added and the data can be normalized
+[//]: # ()
+[//]: # (The data fed in can be displayed graphically using the GUI. )
 
-- **Graph**: selection of the plot type and display; if required, add subplots; define x- and y-axis and if helpful change the coloring depending on the different choosing options under scenario
+[//]: # (This can be filtered in various degrees of detail to adapt the display to your own requirements. )
 
-- **Display**: illustration of the plot; change x- and y-title and add a legend if required
+[//]: # (In this way, it is possible to display anything from a general overview of an entire sector to a detailed representation of an individual process.)
 
-- **Load Filter Settings**: load ready-made and saved diagrams
+[//]: # ()
+[//]: # (### Structure of the data)
 
-- **Save Filer Settings**: If you have filter settings that you want to save for later analysis, you can enter a title in the box next to this button and save it after you have finished setting the filters
+[//]: # ()
+[//]: # (The data describe different sectors with the respective processes and their input and output groups. )
 
-- **Render chart and table**: load chart
+[//]: # (The processes can be aggregated, on the one hand with the help of categories that divide the sectors into individual areas, or through the specifications.)
 
-- **Chart**: displays diagram
+[//]: # (A distinction is also made between different parameters, depending on the type of data being considered.)
 
-- **Table**: list of the data used
+[//]: # (In addition, the data is available for several years over decades, which makes it possible to analyze the development.)
 
-- **Embed Chart**: 
+[//]: # ()
+[//]: # (### Structure of the GUI)
 
-## How to create a plot
+[//]: # ()
+[//]: # (- **Scenario**: set the filters to get the data to be displayed)
 
-There are three types of plots, all with different advantages and disadvantages, depending on what you want to display:
+[//]: # ()
+[//]: # (- **Other**: if necessary, the scaling of the y-axis can be changed here by changing the unit as well as a change in the order e.g. of the bars in a bar diagram can be made; labels can be added and the data can be normalized)
 
-- bar: 
-    - simple, easy to interpret
-    - representation of discrete data
-- line:
-      - simple, easy to interpret
-      - representation of continuous data
-      - suitable for displaying temporal progressions
-- sankey:
-      - "flow-diagram"
-      - especially helpful for representing input and output flows of processes, categories etc.
+[//]: # ()
+[//]: # (- **Graph**: selection of the plot type and display; if required, add subplots; define x- and y-axis and if helpful change the coloring depending on the different choosing options under scenario)
 
-Thus while bar and line charts are well suited for comparing discrete/continuous data, sankey Diagrams can be used to visualize more complex flows and relationships.
+[//]: # ()
+[//]: # (- **Display**: illustration of the plot; change x- and y-title and add a legend if required)
 
-So before starting to create a plot, think about what type of diagram best suits your simulation and depending on that choose the right filters.
+[//]: # ()
+[//]: # (- **Load Filter Settings**: load ready-made and saved diagrams)
 
-Other tips:
+[//]: # ()
+[//]: # (- **Save Filer Settings**: If you have filter settings that you want to save for later analysis, you can enter a title in the box next to this button and save it after you have finished setting the filters)
 
-- especially for plots that take different processes, inputs/outputs etc. in consideration, coloring can be very helpful. You can set the characteristic by which the colors are to be differentiated, depending on what you want to display
+[//]: # ()
+[//]: # (- **Render chart and table**: load the chart)
 
-- Make sure that the units of the selected data match
+[//]: # ()
+[//]: # (- **Chart**: displays the diagram)
 
-- If you only want to represent input or output data and not both, make sure to select no_input/no_output, otherwise they will be considered in the diagram
+[//]: # ()
+[//]: # (- **Table**: list of the data used in the diagram)
 
-- for bar and line plots: make sure to change the x- and y-axis to the right value you want to plot
+[//]: # ()
+[//]: # (- **Embed Chart**: )
 
+[//]: # ()
+[//]: # (### How to create a plot)
+
+[//]: # ()
+[//]: # (There are three types of plots, all with different advantages and disadvantages, depending on what you want to display:)
+
+[//]: # ()
+[//]: # (- bar: )
+
+[//]: # (    - simple, easy to interpret)
+
+[//]: # (    - representation of discrete data)
+
+[//]: # (- line:)
+
+[//]: # (      - simple, easy to interpret)
+
+[//]: # (      - representation of continuous data)
+
+[//]: # (      - suitable for displaying temporal progressions)
+
+[//]: # (- sankey:)
+
+[//]: # (      - "flow-diagram")
+
+[//]: # (      - especially helpful for representing input and output flows of processes, categories etc.)
+
+[//]: # ()
+[//]: # (Thus while bar and line charts are well suited for comparing discrete/continuous data, sankey Diagrams can be used to visualize more complex flows and relationships.)
+
+[//]: # ()
+[//]: # (So before starting to create a plot, think about what type of diagram best suits your simulation and depending on that choose the right filters.)
+
+[//]: # ()
+[//]: # (Other tips:)
+
+[//]: # ()
+[//]: # (- especially for plots that take different processes, inputs/outputs etc. in consideration, coloring can be very helpful. You can set the characteristic by which the colors are to be differentiated, depending on what you want to display)
+
+[//]: # ()
+[//]: # (- Make sure that the units of the selected data match)
+
+[//]: # ()
+[//]: # (- If you only want to represent input or output data and not both, make sure to select no_input/no_output, otherwise they will be considered in the diagram)
+
+[//]: # ()
+[//]: # (- for bar and line plots: make sure to change the x- and y-axis to the right value you want to plot)
 
 # Results
 
diff --git a/mkdocs.yml b/mkdocs.yml
index 07cefd3..00c22a4 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -17,7 +17,7 @@ nav:
         - 'Ontology': 'visitor/data/ontology.md'
     - 'Model Application':
         - 'Scenarios': 'visitor/model/scenarios.md'
-#        - 'GUI': 'visitor/model/gui.md'
+        - 'GUI': 'visitor/model/gui.md'
         - 'Results': 'visitor/model/results.md'
     - Developer Instructions:
         - '(Meta)Data Requirements':

From 80120d46cad1be0c84d48987bf63cb2301727ddf Mon Sep 17 00:00:00 2001
From: johanna-mohr <joeaimee.m@gmail.com>
Date: Tue, 5 Nov 2024 14:46:32 +0100
Subject: [PATCH 11/25] Update GUI description

---
 docs/visitor/model/gui.md | 21 +++++++++++++++++----
 1 file changed, 17 insertions(+), 4 deletions(-)

diff --git a/docs/visitor/model/gui.md b/docs/visitor/model/gui.md
index 99d0c70..22ccb31 100644
--- a/docs/visitor/model/gui.md
+++ b/docs/visitor/model/gui.md
@@ -27,17 +27,30 @@ To do this, a scenario must first be selected at the bottom right of the start p
 
 ### What the GUI can do
 
-The data fed in can be displayed graphically using the GUI. 
+The result data fed in can be displayed graphically using the GUI. 
 This can be filtered in various degrees of detail to adapt the display to your own requirements. 
 In this way, it is possible to display anything from a general overview of an entire sector to a detailed representation of an individual process.
 
 ### Structure of the data
 
-The data describe different sectors with the respective processes and their input and output groups. 
+The result data describe different sectors with the respective processes and their input and output groups. 
 The processes can be aggregated, on the one hand with the help of categories that divide the sectors into individual areas, or through the specifications.
-A distinction is also made between different parameters, depending on the type of data being considered.
+A distinction is also made between different parameters, depending on the type of data being considered:
+
+- flow_volume
+- losses
+- costs_investment
+- costs_variable
+- costs_fixed
+- capacity_inst
+- capacity_new
+
+Whereby the first two parameters refer to flows while the others describe processes.
+
 In addition, the data is available for several years over decades, which makes it possible to analyze the development.
 
+For the Nomenclature of the result data please click [here](http://127.0.0.1:8000/visitor/data/nomenclature/).
+
 ### Structure of the GUI
 
 - **Scenario**: set the filters to get the data to be displayed
@@ -73,7 +86,7 @@ There are three types of plots, all with different advantages and disadvantages,
       - suitable for displaying temporal progressions
 - sankey:
       - "flow-diagram"
-      - especially helpful for representing input and output flows of processes, categories etc.
+      - especially helpful for representing input and output flows of processes, categories etc. and for the representation of energy balances
 
 Thus while bar and line charts are well suited for comparing discrete/continuous data, sankey Diagrams can be used to visualize more complex flows and relationships.
 

From 67fcd46e5f89aadf84fe65b6fe51c1d38015e137 Mon Sep 17 00:00:00 2001
From: BeneharoRB <beneharo.reveron-baecker@tum.de>
Date: Fri, 8 Nov 2024 11:51:55 +0100
Subject: [PATCH 12/25] Add images to remote

---
 docs/graphics/model-frame-decisions_v3.jpg     | Bin 0 -> 274480 bytes
 .../sector_overview_without-chapters.jpg       | Bin 0 -> 65352 bytes
 2 files changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 docs/graphics/model-frame-decisions_v3.jpg
 create mode 100644 docs/graphics/sector_overview_without-chapters.jpg

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From f63b007c72764bb4ba73c368e12beba1bc9621d8 Mon Sep 17 00:00:00 2001
From: BeneharoRB <beneharo.reveron-baecker@tum.de>
Date: Fri, 8 Nov 2024 12:04:17 +0100
Subject: [PATCH 13/25] Remove old descriptions

---
 docs/visitor/model/gui.md | 10 +---------
 1 file changed, 1 insertion(+), 9 deletions(-)

diff --git a/docs/visitor/model/gui.md b/docs/visitor/model/gui.md
index 22ccb31..7dba62a 100644
--- a/docs/visitor/model/gui.md
+++ b/docs/visitor/model/gui.md
@@ -1,12 +1,4 @@
-# GUI
-
-The results and reference energy system can be explored using the [GUI](https://sedos.apps.rl-institut.de/).
-
-
-[//]: # (<span style="color:red">TODO: description of the GUI </span>)
-
-
-[//]: # (# Description GUI)
+# [GUI](https://sedos.apps.rl-institut.de/)
 
 ## Why this GUI?
 To improve the transparency and reproducibility of the open source structure this GUI provides a few basic functionalities to explore the derived modeling base:

From 896f5198aa77f7d886dc216b1a0bb133cfe92fc7 Mon Sep 17 00:00:00 2001
From: BeneharoRB <beneharo.reveron-baecker@tum.de>
Date: Fri, 8 Nov 2024 14:05:46 +0100
Subject: [PATCH 14/25] Revision of the GUI description.

---
 docs/visitor/data/ontology.md |   6 +-
 docs/visitor/model/gui.md     | 102 +++++++++++++++++++---------------
 2 files changed, 57 insertions(+), 51 deletions(-)

diff --git a/docs/visitor/data/ontology.md b/docs/visitor/data/ontology.md
index 2507ba1..a7d95f0 100644
--- a/docs/visitor/data/ontology.md
+++ b/docs/visitor/data/ontology.md
@@ -247,11 +247,7 @@ Thus, thorough annotation and following the conventions are important for fricti
 
 The technology and technology_type columns from the oedatamodel-concrete are filled with the information from the `subject` key.
 
-### B) input and output energy vectors for MiMo technologies
-
-Moved to [Input and output energy vectors](input_data.md#Input-and-output-energy-vectors).
-
-### C) parameter names
+### B) parameter names
 
 #### Case1 
 **_In cases where there is a single suitable ontology concept in the OEO_** we'll use the keys `isAbout`, `valueReference` as explained above.
diff --git a/docs/visitor/model/gui.md b/docs/visitor/model/gui.md
index 7dba62a..328d141 100644
--- a/docs/visitor/model/gui.md
+++ b/docs/visitor/model/gui.md
@@ -1,4 +1,5 @@
-# [GUI](https://sedos.apps.rl-institut.de/)
+# GUI
+!!! example "Try out our interactive SEDOS [GUI](https://sedos.apps.rl-institut.de/)"
 
 ## Why this GUI?
 To improve the transparency and reproducibility of the open source structure this GUI provides a few basic functionalities to explore the derived modeling base:
@@ -7,26 +8,33 @@ To improve the transparency and reproducibility of the open source structure thi
 
 - Exploring the underlying input data of our model with an integrated table view.
 
-- See the aggregations steps defined in our model structure and download the different levels of detail .
+- See the aggregation steps defined in our model structure and download the different levels of detail for modeling.
 
-- Create charts based on possible model results as an outcome of different frameworks and scenarios using the same data.
+- Create charts based on model results as an outcome of different frameworks and scenarios using the same reference dataset.
 
-In the following, the last point, the presentation of the data in the form of charts, will be examined in more detail.
+In the following, the last point, the visualization of the data in the form of charts, will be examined in more detail as the user has a variety of options here to create tailored plots.
 
-To do this, a scenario must first be selected at the bottom right of the start page under “Explore the Model results” and the gui for creating charts can be accessed by clicking on “Explore Diagrams”.
+## Explore the Model Structure
 
-## Explore the Model results
+## Explore the Model Results
 
-### What the GUI can do
+### Overview
 
-The result data fed in can be displayed graphically using the GUI. 
-This can be filtered in various degrees of detail to adapt the display to your own requirements. 
-In this way, it is possible to display anything from a general overview of an entire sector to a detailed representation of an individual process.
+The GUI enables graphical visualization of the result data, which can be filtered to various levels of detail to meet specific requirements.
 
-### Structure of the data
+This allows you to display anything from a broad sector overview to a detailed view of individual processes.
 
-The result data describe different sectors with the respective processes and their input and output groups. 
-The processes can be aggregated, on the one hand with the help of categories that divide the sectors into individual areas, or through the specifications.
+To begin, select a scenario at the bottom right of the start page under "Explore Model Results." 
+
+Access the chart creation interface by clicking on "Explore Diagrams."
+
+### Result Data
+
+The result data can be aggregated on the following levels according to the [Nomenclature](../data/nomenclature.md):
+
+Sectors &rarr; Categories &rarr; Specifications &rarr; Processes
+
+This hierarchy allows for flexible data breakdowns, enabling customized configurations tailored to different plotting needs.
 A distinction is also made between different parameters, depending on the type of data being considered:
 
 - flow_volume
@@ -37,63 +45,65 @@ A distinction is also made between different parameters, depending on the type o
 - capacity_inst
 - capacity_new
 
-Whereby the first two parameters refer to flows while the others describe processes.
-
+Whereby the first two parameters refer to process flows which are defined in the input/output groups while the other parameters describe the process itself.
 In addition, the data is available for several years over decades, which makes it possible to analyze the development.
 
-For the Nomenclature of the result data please click [here](http://127.0.0.1:8000/visitor/data/nomenclature/).
+### GUI structure
 
-### Structure of the GUI
+<ins>Four different tabs are available to define a plot:</ins>
 
-- **Scenario**: set the filters to get the data to be displayed
+- **Scenario**: Set the filters to get the result data of a specific scenario to be displayed.
 
-- **Other**: if necessary, the scaling of the y-axis can be changed here by changing the unit as well as a change in the order e.g. of the bars in a bar diagram can be made; labels can be added and the data can be normalized
+- **Other**: Adjust the y-axis scaling by changing units, reorder items (e.g., bar chart elements), add labels, and normalize data if necessary.
 
-- **Graph**: selection of the plot type and display; if required, add subplots; define x- and y-axis and if helpful change the coloring depending on the different choosing options under scenario
+- **Graph**: Choose the plot type and display options, add subplots if needed, define the x- and y-axes, and adjust colors based on the available choices in the scenario pane.
 
-- **Display**: illustration of the plot; change x- and y-title and add a legend if required
+- **Display**: Illustration settings of the plot; change x- and y-title and add a legend if required.
 
-- **Load Filter Settings**: load ready-made and saved diagrams
+<ins>The basic buttons to create and see your data are:</ins>
 
-- **Save Filer Settings**: If you have filter settings that you want to save for later analysis, you can enter a title in the box next to this button and save it after you have finished setting the filters
+- **Render chart and table**: Display the chart based on the applied filters.
 
-- **Render chart and table**: load the chart
+- **Chart**: Visual representation of the data.
 
-- **Chart**: displays the diagram
+- **Table**: Tabular display of the data used in the chart.
 
-- **Table**: list of the data used in the diagram
+<ins>Additional features to ease the use of this GUI are:</ins>
 
-- **Embed Chart**: 
+- **Save Filer Settings**: To save your filter settings for later use, enter a title and save the configuration once filters are set.
 
-### How to create a plot
+- **Load Filter Settings**: Load saved filter settings to create ready-made diagrams.
 
-There are three types of plots, all with different advantages and disadvantages, depending on what you want to display:
+- **Embed Chart**: The "Embed Chart" feature generates a unique link for a customized chart by storing the parameter settings in a central database, allowing users to easily revisit or share it. 
+Opening the link recreates the chart with the exact same settings. This makes sharing data insights simple and accessible. 
 
-- bar: 
-    - simple, easy to interpret
-    - representation of discrete data
-- line:
-      - simple, easy to interpret
-      - representation of continuous data
-      - suitable for displaying temporal progressions
-- sankey:
-      - "flow-diagram"
-      - especially helpful for representing input and output flows of processes, categories etc. and for the representation of energy balances
+### How to create a plot
 
-Thus while bar and line charts are well suited for comparing discrete/continuous data, sankey Diagrams can be used to visualize more complex flows and relationships.
+<ins>Choose from three basic plot types for visualization:</ins>
 
-So before starting to create a plot, think about what type of diagram best suits your simulation and depending on that choose the right filters.
+- **Bar Chart**: 
+    - Simple and easy to interpret.
+    - Suitable for discrete data developments.
+    - Stacked plots allow to keep track of the total values while showing the contribution single processes.
+- **Line Chart**:
+    - Simple and easy to interpret.
+    - Suitable for displaying temporal developments.
+- **Sankey Diagram**:
+    - Flow diagram representing input and output flows across selected node levels as described above.
+    - Effective for visualizing complex flows and energy balances.
 
-Other tips:
+<ins>Other tips:</ins>
 
-- especially for plots that take different processes, inputs/outputs etc. in consideration, coloring can be very helpful. You can set the characteristic by which the colors are to be differentiated, depending on what you want to display
+- Especially for plots that take different processes, inputs/outputs etc. in consideration, coloring can be very helpful. 
+You can set the characteristic by which the colors are to be differentiated, depending on what you want to display.
 
-- Make sure that the units of the selected data match
+- Make sure that the units of the selected data match.
 
-- If you only want to represent input or output data and not both, make sure to select no_input/no_output, otherwise they will be considered in the diagram
+- You can adjust the x- and y-axis for bar and line plots to the right value you want to plot.
 
-- for bar and line plots: make sure to change the x- and y-axis to the right value you want to plot
+- If you only want to represent input or output data in a sankey and not both, make sure to select no_input/no_output, otherwise they will be considered in the diagram.
 
+- Make use of subplots to compare different scenarios, years or sectors.
 
 
 

From d58ef6f14460c10872fa447c77d1f87e05ea01e2 Mon Sep 17 00:00:00 2001
From: gard_he <hedda.gardian@dlr.de>
Date: Fri, 8 Nov 2024 14:44:06 +0100
Subject: [PATCH 15/25] Updated transport sector documentation

---
 docs/graphics/modeling_emobility.png     | Bin 0 -> 167264 bytes
 docs/graphics/nomenclature_transport.png | Bin 0 -> 68111 bytes
 docs/visitor/structure/transport.md      |  80 +++++++++++++++++++++++
 mkdocs.yml                               |   5 +-
 4 files changed, 84 insertions(+), 1 deletion(-)
 create mode 100644 docs/graphics/modeling_emobility.png
 create mode 100644 docs/graphics/nomenclature_transport.png
 create mode 100644 docs/visitor/structure/transport.md

diff --git a/docs/graphics/modeling_emobility.png b/docs/graphics/modeling_emobility.png
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diff --git a/docs/visitor/structure/transport.md b/docs/visitor/structure/transport.md
new file mode 100644
index 0000000..487c661
--- /dev/null
+++ b/docs/visitor/structure/transport.md
@@ -0,0 +1,80 @@
+# Transport sector
+
+## Naming convention
+The transportation sector in the SEDOS dataset is divided into road, water, air and rail modes. The road-based vehicles include light (*l*), medium (*m*) and heavy (*h*) cars and trucks as well as coaches (*long* distance) and buses (*short* distance), motorcycles and special vehicles in the agricultural (*agri*) and construction (*const*) industries. For waterway transport, the focus is on inland freight shipping. In the field of aviation, a distinction is made between domestic flights (*natio*), European flights (*europ*) and intercontinental (*inter*) flights and passenger transportation alone is accounted for. Finally, a distinction is made between short-haul (streetcars, shunting operations) and long-haul (long-distance trains) for both passenger (*pass*) and freight (*frei*) rail transport. A suitable selection of drive technologies (internal combustion engine vehicle – icev, hybrids – hyb, fuel cell electric vehicle – fcev, battery electric multiple unit meaning a combination of batteries and overhead cables – bemu, battery electric vehicles – bev and overhead electric vehicles – oev) and fuels is combined for all vehicle types and organized as separate processes in the model structure. The nomenclature for process naming follows the system below, that is further explained in Table 1:
+tra_rail_hyb_pass_short_hydrogen_0.
+
+*Table 1: Nomenclature for the transport sector process naming.*
+
+| Sector | Mode   | Type (including information on weight) | Drive Technology | Transported Unit | Specification | Fuel      | Stock/Expansion |
+|--------|--------|----------------------------------------|------------------|------------------|---------------|-----------|-----------------|
+| tra    | road   | car/lcar/mcar/hcar                    | icev             | pass             | long          | ammonia   | 0               |
+|        | water  | truck/ltruck/mtruck/htruck            | hyb              | frei             | short         | gasoline  | 1               |
+|        | air    | bus                                   | fcev             |                  | natio         | diesel    |                 |
+|        | rail   | motorc                                | bemu             |                  | europe        | hydrogen  |                 |
+|        |        | agri                                  | bev              |                  | inter         | methanol  |                 |
+|        |        | const                                 | oev              |                  | wallbox       | ethanol   |                 |
+|        |        |                                       |                  |                  | engine        | cng       |                 |
+|        |        |                                       |                  |                  | battery       | lpg       |                 |
+|        |        |                                       |                  |                  | inflex        | lng       |                 |
+|        |        |                                       |                  |                  | flex          | elec      |                 |
+|        |        |                                       |                  |                  | g2v           | kerosene  |                 |
+|        |        |                                       |                  |                  | v2g           |           |                 |          
+
+
+## General modeling approach
+
+When modeling all vehicles apart from battery electric cars and trucks, a simplified and inflexible approach is used. This means that these vehicles have a fixed, exogenously specified driving profile and the fuel tank is not taken into account as a possible buffer between fuel energy demand and the provision of driving power. This is based on the assumption that, in contrast to BEVs, the refueling process is evened out across the fleet and takes place during the driving process rather than being decoupled during parking times. In addition, the fuel supply chain is seen as having a high storage capacity that is not available in the electricity grid in the same form, which is why a detailed consideration of batteries and the charging process is considered for BEVs (trucks and cars). 
+
+In the case of inflexible vehicles, only the composition of the fleet is optimized, i.e. the choice of drive technology and fuel type for medium sized cars. The modal split, i.e. the distribution of demand between vehicle types (hcars, mcars, lcars, buses, trains, etc.), is specified in exogenous demand variables, e.g. exo_road_car_pkm.
+The general modeling follows the scheme below: 
+
+![Figure 1: Modeling schema for vehicles without explicitly modelled storage/tank.](../../graphics/nomenclature_transport.png)
+
+*Figure 1: Modeling schema for vehicles without explicitly modelled storage/tank.*
+
+The input energy is transformed into the output commodities via indicators. Accordingly, the ratio of input to output flows is specified, taking into account the occupancy rate for passenger transport and the tonnage for freight transport in the information on transport services. For example the energy balance of a diesel car: 
+        
+|                  | Input                                      | Output                                      |
+|------------------|--------------------------------------------|---------------------------------------------|
+| **Parameter Name** | sec_diesel                                 | exo_road_car_pkm            +   emi_co2_f_tra |
+| **Value Example**  | 1 kWh                                      | 10 vehicle_km * 3 p/vehicle +      0.005 t    |
+
+            
+is transformed to
+
+|                  | Input                                      | Output                                      |
+|------------------|--------------------------------------------|---------------------------------------------|
+| **Parameter Name** | sec_diesel                                 | exo_road_car_pkm    + emi_co2_f_tra |
+| **Value Example**  | 1 kWh                                      | 30 pkm              +   0.005 t     |
+
+This means that the direct efficiencies are not given as a percentage but rather by indicator ratios.
+
+## Battery electric vehicle (BEV) modeling approach
+
+The detailed modeling of the BEVs provides for a separation of the fleet into three parts representing the charging modes: user-controlled charging (no optimization possible), system-controlled charging and system-controlled charging with the option of feeding back into the grid (see dark blue boxes in Figure 2). Their ratio is given exogenously. In the data the electric vehicle process (and with it each of the charging modes) is furthermore divided into 4 sub-processes: wallbox, battery, engine and an auxiliary helper process that contains overarching parameters, such as occupancy rate or tonnage. 
+
+This results in a differentiation of 11 processes for each electric vehicle type: 3 modes times 3 sub-processes plus a further wallbox process, which represents the feed-in of electricity back into the grid, and an additional superordinate auxiliary process. Since the modeled wallbox, for example, does not differ in any of the cases, there is a certain redundancy of information, but this is necessary because the boundary conditions differ in the modeling and therefore these sub-processes can this way described accurately.
+The resulting indicator ratios are as follows and can also be found in Figure 2:
+
+![Figure 2: Modeling schema for flexible electric vehicles.](../../graphics/modeling_emobility.png)
+
+*Figure 2: Modeling schema for flexible electric vehicles.*
+
+1.	**Wallbox efficiency** (sec_elec * ɳwallbox_G2V = sec_elec_wallbox):
+                        sec_elec    --> sec_elec_wallbox   
+
+2.	**Charging/Discharging effiency** (sec_wallbox * ɳbattery_in * ɳbattery_out = sec_battery):
+                        sec_wallbox --> sec_battery
+    <br>**Grid Feed-in** (sec_battery * ɳwallbox_V2G * ɳbattery_in* ɳbattery_out = sec_elec):
+                        sec_battery --> sec_elec
+
+3.	**Engine efficiency** (sec_battery * ɳengine * occupancy_rate = exo_road_car_pkm):
+                        sec_battery --> exo_road_car_pkm
+
+
+  
+
+
+
+
diff --git a/mkdocs.yml b/mkdocs.yml
index 07cefd3..f7e687d 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -4,7 +4,10 @@ nav:
     - Welcome: index.md
     - 'Model Structure':
         - 'Overview': 'visitor/structure/overview.md'
-        - 'Model Base': 'visitor/structure/model_frame.md'
+        - 'Model Base': 
+            - 'General features': 'visitor/structure/model_frame.md'
+            - 'Sectors':
+                -'Transport': 'visitor/structure/transport.md'
         - 'Emission Concept': 'visitor/structure/emissions.md'
         - 'Exogenous Values': 'visitor/structure/exogenous_values.md'
 #        - 'Model Structure': ''

From aba6fb6c00514bb5d96a6e709304f1a75cbc5d95 Mon Sep 17 00:00:00 2001
From: johanna-mohr <joeaimee.m@gmail.com>
Date: Wed, 20 Nov 2024 09:38:32 +0100
Subject: [PATCH 16/25] Update Model Structure

---
 docs/visitor/model/gui.md | 43 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 43 insertions(+)

diff --git a/docs/visitor/model/gui.md b/docs/visitor/model/gui.md
index 328d141..5c8fa0e 100644
--- a/docs/visitor/model/gui.md
+++ b/docs/visitor/model/gui.md
@@ -16,6 +16,49 @@ In the following, the last point, the visualization of the data in the form of c
 
 ## Explore the Model Structure
 
+Under this section the structure of the data can be displayed graphically.
+
+There are five different sectors:
+
+- mobility
+- heat
+- power
+- industry
+- X2X
+
+Whereby the first four describe the different energy sectors and the last one includes those processes where the output of one sector is used as input in the other sector as well as the import and export of commodities.
+
+Furthermore there are four main categories of commodities: 
+
+- primary energy carriers (pri)
+- secondary energy carriers (sec)
+- exogenous demand (exo)
+- industrial intermediate products (iip)
+
+
+### GUI structure
+
+There are four different buttons that lead you to the corresponding GUIs:
+
+**Generate Networks:** 
+
+- Here the data structure and their interrelations can be graphically displayed.
+- Therefor various filters are available on the left side of the GUI to adjust the clarity, e.g. with the help of aggregations.
+- This means, for example, that only selected sectors or processes can be displayed.
+
+**Look at Processes:**
+
+- Here the corresponding data can be found
+
+**Look at Artifacts:** 
+
+- Here the corresponding data can be found
+
+**Aggregation Graph:** 
+
+- the defined aggregations can her be displayed graphically to get an overview over which processes are mapped to which aggregation.
+- At the top of the GUI, you can filter by the desired level of detail and select the sector to be displayed.
+
 ## Explore the Model Results
 
 ### Overview

From 3bb7a80092865f649f5268eae3eef564fa703b4d Mon Sep 17 00:00:00 2001
From: johanna-mohr <joeaimee.m@gmail.com>
Date: Thu, 21 Nov 2024 13:17:31 +0100
Subject: [PATCH 17/25] Update GUI description

---
 docs/visitor/model/gui.md | 38 ++++++++++++++++++--------------------
 1 file changed, 18 insertions(+), 20 deletions(-)

diff --git a/docs/visitor/model/gui.md b/docs/visitor/model/gui.md
index 5c8fa0e..6646807 100644
--- a/docs/visitor/model/gui.md
+++ b/docs/visitor/model/gui.md
@@ -16,9 +16,9 @@ In the following, the last point, the visualization of the data in the form of c
 
 ## Explore the Model Structure
 
-Under this section the structure of the data can be displayed graphically.
+In this part, the structure of the data can be displayed graphically to build a better understanding of how the data is related
 
-There are five different sectors:
+First of all there are five different sectors:
 
 - mobility
 - heat
@@ -28,7 +28,7 @@ There are five different sectors:
 
 Whereby the first four describe the different energy sectors and the last one includes those processes where the output of one sector is used as input in the other sector as well as the import and export of commodities.
 
-Furthermore there are four main categories of commodities: 
+Furthermore, there are four main categories of commodities that occur in the respective processes: 
 
 - primary energy carriers (pri)
 - secondary energy carriers (sec)
@@ -36,27 +36,29 @@ Furthermore there are four main categories of commodities:
 - industrial intermediate products (iip)
 
 
+
+
 ### GUI structure
 
-There are four different buttons that lead you to the corresponding GUIs:
+To take a closer look at the structure of the data, there are the following four different buttons on the start page that will take you to the respective GUI:
 
 **Generate Networks:** 
 
-- Here the data structure and their interrelations can be graphically displayed.
-- Therefor various filters are available on the left side of the GUI to adjust the clarity, e.g. with the help of aggregations.
+- Click here to display the data structure and their interrelations graphically.
+- Therefore, various filters are available on the left side of the GUI to adjust the clarity, e.g. with the help of aggregations.
 - This means, for example, that only selected sectors or processes can be displayed.
 
 **Look at Processes:**
 
-- Here the corresponding data can be found
+- Click here to find the corresponding data
 
 **Look at Artifacts:** 
 
-- Here the corresponding data can be found
+- Click here to find the corresponding data
 
 **Aggregation Graph:** 
 
-- the defined aggregations can her be displayed graphically to get an overview over which processes are mapped to which aggregation.
+- Click here to display the defined aggregations graphically, which will help you to get an overview over which processes are mapped to which aggregation.
 - At the top of the GUI, you can filter by the desired level of detail and select the sector to be displayed.
 
 ## Explore the Model Results
@@ -135,18 +137,14 @@ Opening the link recreates the chart with the exact same settings. This makes sh
     - Flow diagram representing input and output flows across selected node levels as described above.
     - Effective for visualizing complex flows and energy balances.
 
-<ins>Other tips:</ins>
-
-- Especially for plots that take different processes, inputs/outputs etc. in consideration, coloring can be very helpful. 
-You can set the characteristic by which the colors are to be differentiated, depending on what you want to display.
-
-- Make sure that the units of the selected data match.
-
-- You can adjust the x- and y-axis for bar and line plots to the right value you want to plot.
-
-- If you only want to represent input or output data in a sankey and not both, make sure to select no_input/no_output, otherwise they will be considered in the diagram.
 
-- Make use of subplots to compare different scenarios, years or sectors.
+!!! tip "Other Tips"
+      - Especially for plots that take different processes, inputs/outputs etc. in consideration, coloring can be very helpful. 
+        You can set the characteristic by which the colors are to be differentiated, depending on what you want to display.
+      - Make sure that the units of the selected data match.
+      - You can adjust the x- and y-axis for bar and line plots to the right value you want to plot.
+      - If you only want to represent input or output data in a sankey and not both, make sure to select no_input/no_output, otherwise they will be considered in the diagram.
+      - Make use of subplots to compare different scenarios, years or sectors.
 
 
 

From 11919ba934293acf29764e72ee1aa67b87a49ee0 Mon Sep 17 00:00:00 2001
From: johanna-mohr <joeaimee.m@gmail.com>
Date: Sun, 24 Nov 2024 15:12:05 +0100
Subject: [PATCH 18/25] Update Model Structure Description

---
 docs/visitor/model/gui.md | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/docs/visitor/model/gui.md b/docs/visitor/model/gui.md
index 6646807..9318fda 100644
--- a/docs/visitor/model/gui.md
+++ b/docs/visitor/model/gui.md
@@ -16,7 +16,7 @@ In the following, the last point, the visualization of the data in the form of c
 
 ## Explore the Model Structure
 
-In this part, the structure of the data can be displayed graphically to build a better understanding of how the data is related
+In this part, the structure of the data can be displayed graphically to build a better understanding of how the data is related.
 
 First of all there are five different sectors:
 
@@ -45,16 +45,18 @@ To take a closer look at the structure of the data, there are the following four
 **Generate Networks:** 
 
 - Click here to display the data structure and their interrelations graphically.
-- Therefore, various filters are available on the left side of the GUI to adjust the clarity, e.g. with the help of aggregations.
+- Therefore, various filters are available on the left side of the GUI to adjust the clarity, e.g. with the help of three different aggregation steps.
 - This means, for example, that only selected sectors or processes can be displayed.
 
 **Look at Processes:**
 
 - Click here to find the corresponding data
+- A list of all processes appears on the left-hand side: click on the desired process to view its details
 
 **Look at Artifacts:** 
 
 - Click here to find the corresponding data
+- A list of all artifacts sorted by sector appears on the left-hand side: click on the desired artifact to view its details
 
 **Aggregation Graph:** 
 

From b3c8965e29a1fd99bfbb97042fa0dedb4e5777bb Mon Sep 17 00:00:00 2001
From: johanna-mohr <joeaimee.m@gmail.com>
Date: Sun, 24 Nov 2024 22:00:28 +0100
Subject: [PATCH 19/25] Update GUI description

---
 docs/visitor/model/gui.md | 43 +++++++++++++++++++++++++++++----------
 1 file changed, 32 insertions(+), 11 deletions(-)

diff --git a/docs/visitor/model/gui.md b/docs/visitor/model/gui.md
index 9318fda..7aa3cd4 100644
--- a/docs/visitor/model/gui.md
+++ b/docs/visitor/model/gui.md
@@ -16,9 +16,11 @@ In the following, the last point, the visualization of the data in the form of c
 
 ## Explore the Model Structure
 
-In this part, the structure of the data can be displayed graphically to build a better understanding of how the data is related.
+### Overview
+
+In this part of the GUI, the structure of the data can be displayed graphically to build a better understanding of how the data is related.
 
-First of all there are five different sectors:
+<ins>First of all there are five different sectors that are considered in the data:</ins>
 
 - mobility
 - heat
@@ -26,9 +28,10 @@ First of all there are five different sectors:
 - industry
 - X2X
 
-Whereby the first four describe the different energy sectors and the last one includes those processes where the output of one sector is used as input in the other sector as well as the import and export of commodities.
+!!! note ""
+    Whereby the first four describe the different energy sectors and the last one includes those processes where the output of one sector is used as input in the other sector as well as the import and export of commodities.
 
-Furthermore, there are four main categories of commodities that occur in the respective processes: 
+<ins>Furthermore, there are four main categories of commodities that occur in the respective processes: </ins>
 
 - primary energy carriers (pri)
 - secondary energy carriers (sec)
@@ -40,13 +43,20 @@ Furthermore, there are four main categories of commodities that occur in the res
 
 ### GUI structure
 
-To take a closer look at the structure of the data, there are the following four different buttons on the start page that will take you to the respective GUI:
+To take a closer look at the structure of the data, there are the following four different buttons on the [start page](https://sedos.apps.rl-institut.de/) that will take you to the respective GUI:
 
 **Generate Networks:** 
 
-- Click here to display the data structure and their interrelations graphically.
-- Therefore, various filters are available on the left side of the GUI to adjust the clarity, e.g. with the help of three different aggregation steps.
-- This means, for example, that only selected sectors or processes can be displayed.
+- Click here to display the data structure and their interrelations graphically
+- At the top of the GUI you can find the 'Abbreviation Help', where the respective abbreviation can be selected, whereupon the meaning is shown next to it
+- Therefore, various filters are available on the left side of the GUI to adjust the clarity, e.g. with the help of three different aggregation steps. The filters are:
+    - Sectors: choose the sectors you want to display 
+    - Depth: select the level of detail
+    - Mapping:
+    - Display specific process: choose out of the list of processes 
+    - Display specific commodity: choose out of the list of commodities
+!!! note ""
+    This way it is possible to display for example only selected sectors or processes.
 
 **Look at Processes:**
 
@@ -60,8 +70,11 @@ To take a closer look at the structure of the data, there are the following four
 
 **Aggregation Graph:** 
 
-- Click here to display the defined aggregations graphically, which will help you to get an overview over which processes are mapped to which aggregation.
-- At the top of the GUI, you can filter by the desired level of detail and select the sector to be displayed.
+- Click here to display the defined aggregations graphically, which will help you to get an overview over which processes are mapped to which aggregation
+- At the top of the GUI you can find the 'Abbreviation Help', where the respective abbreviation can be selected, whereupon the meaning is shown next to it
+- Below this is a line where you can filter by the desired level of detail and select the sector to be displayed
+- Furthermore, the processes from all sectors for level of detail can be downloaded there
+- The resulting diagram can be zoomed in and out and the individual nodes can be moved manually by clicking on them
 
 ## Explore the Model Results
 
@@ -92,7 +105,9 @@ A distinction is also made between different parameters, depending on the type o
 - capacity_inst
 - capacity_new
 
-Whereby the first two parameters refer to process flows which are defined in the input/output groups while the other parameters describe the process itself.
+!!! note ""
+    Whereby the first two parameters refer to process flows which are defined in the input/output groups while the other parameters describe the process itself.
+
 In addition, the data is available for several years over decades, which makes it possible to analyze the development.
 
 ### GUI structure
@@ -124,6 +139,12 @@ In addition, the data is available for several years over decades, which makes i
 - **Embed Chart**: The "Embed Chart" feature generates a unique link for a customized chart by storing the parameter settings in a central database, allowing users to easily revisit or share it. 
 Opening the link recreates the chart with the exact same settings. This makes sharing data insights simple and accessible. 
 
+
+!!! info "At the top of the page the abbreviation search function is located, which displays the meaning of the respective abbreviation."
+
+
+
+
 ### How to create a plot
 
 <ins>Choose from three basic plot types for visualization:</ins>

From a6a233a2485fa997786940678cff161a1f710c96 Mon Sep 17 00:00:00 2001
From: johanna-mohr <joeaimee.m@gmail.com>
Date: Mon, 25 Nov 2024 10:55:59 +0100
Subject: [PATCH 20/25] Name change mobility->transport

---
 docs/visitor/model/gui.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/visitor/model/gui.md b/docs/visitor/model/gui.md
index 7aa3cd4..5d44ace 100644
--- a/docs/visitor/model/gui.md
+++ b/docs/visitor/model/gui.md
@@ -22,7 +22,7 @@ In this part of the GUI, the structure of the data can be displayed graphically
 
 <ins>First of all there are five different sectors that are considered in the data:</ins>
 
-- mobility
+- transport
 - heat
 - power
 - industry

From 34176b80685faee472cfa663b0a2af58b7e77ceb Mon Sep 17 00:00:00 2001
From: Beneharo <beneharo.reveron-baecker@tum.de>
Date: Wed, 27 Nov 2024 15:24:33 +0100
Subject: [PATCH 21/25] Restructure data description

---
 docs/developer/data_preface.md                | 428 ------------------
 .../developer/data_requirements/input_data.md | 314 +++++++------
 docs/developer/data_requirements/overview.md  |  31 --
 docs/visitor/data/data_conventions.md         |  39 +-
 docs/visitor/data/nomenclature.md             | 101 +++++
 docs/visitor/data/overview.md                 |  47 +-
 mkdocs.yml                                    |   3 +-
 7 files changed, 314 insertions(+), 649 deletions(-)
 delete mode 100644 docs/developer/data_preface.md
 delete mode 100644 docs/developer/data_requirements/overview.md

diff --git a/docs/developer/data_preface.md b/docs/developer/data_preface.md
deleted file mode 100644
index d99b946..0000000
--- a/docs/developer/data_preface.md
+++ /dev/null
@@ -1,428 +0,0 @@
-# Data preface for SEDOS developer
-
-The SEDOS Reference Dataset (SRD) entails technology data across five sectors (power, heat, PtX, industry, mobility) 
-and various aggregation levels.
-
-This *data preface* provides additional information about the syntax of parameters and units in SRD.
-## Nomenclature
-
-**SEDOS sectors**
-
-| Sector abbreviation | Sector     | SEDOS workpackage |
-|---------------------|------------|-------------------|
-| pow                 | Power      | AP4               |
-| hea                 | Heat       | AP6               |
-| x2x                 | Power to X | AP5               |
-| ind                 | Industry   | AP7               |
-| tra                 | Transport  | AP8               |
-
-
-??? note "Existing and investment processes"
-      
-            
-    === "Existing processes"
-        Processes that were existing before the base year 2021 can be identified on their name. They end with `_0`
-        <br>
-        Example: `pow_combustion_gt_hydrogen_0`
-
-    === "Investment processes"
-        Processes that were not existing before the base year 2021 and that the model can invest in can be 
-        identified on their name. They end with `_1`
-        <br>
-        Example: `pow_combustion_cc_chp_ccs_biomass_1`
-
-## Data
-
-??? note "Information on special parameters"
-
-    === "`conversion_factor_<commodity>`"
-        Having many Multiple-Input-Multiple-Output (MIMO) processes in the model structure, efficiencies are considered with the parameter `conversion_factor`.
-        We use the same naming convention for all parameters that describe the ratios of inputs and outputs in relation to the primary commodity. <br>
-        The primary commodity (conversion_factor = 1) is per default the first output of the process. <br>
-        
-        For consistency please check that the calorific values (heating values) that your conversion factors are based on, are consistent with the
-        values defined in "calorific_values_SEDOS" in the supplementary files at the sharepoint.<br>
-        
-        The TIMES adapter needs to convert the conversion factors into their parameter conventions and an automatic identification and naming of the commodity groups.
-        as required by the framework.
-
-    === "`flow_share_min/max/fix`"
-        This parameter can be defined to bound flow shares within the commodity groups of MIMO processes that by default have flexible ratios. <br>
-        e.g. for a hydrogen-ready gas turbine (that can either burn methane or h2 in the MIMO-process) the hydrogen flow for every 
-        timestep could be restricted to a ratio of 0.3 with `flow_share_max=0.3`.
-
-    === "`capacity_p_abs_new_max`"
-
-        Growth rates of processes should be considered with `capacity_p_abs_new_max` or `capacity_e_abs_new_max` parameter. 
-        It describes absolute upper bounds for the expansion of capacities per milestone year. Please consider the deviating 
-        period lengths for different milestone years when you determine the upper bounds.
-        This parameter should be given for a process only if it is based on reasonable assumptions or data.
-        Please include its background in your AP specific documentation. The transport sector considers growth rates with the market shares.
-
-    === "`wacc`"
-
-        The weighted average cost of capital (wacc) gives the interest rate (%) of costs for capital after taxes. 
-        As we follow a macro-economic approach in SEDOS it is globally defined for all technologies with a value of 2 percent.
-        Please link it to the `global_scalars` table as explained in the note `Linking data with foreign keys`.
-
-??? note "Parameter_Input-Output"
-    
-    The Parameter_Input-Output relations are important to link relevant flow-specific parameters to input or output commodities 
-    of a MIMO process. Due to the high number of MIMO processes in our model structure we defined defaults for these relations: <br><br>
-    **Cost parameters are directly related to the throughput power capacity based on the given primary commodity** 
-    (first output of a process with conversion_factor = 1). <br><br>
-    Moreover, the following parameters are per default directly derived from the parameter names in your uploaded data. <br>
-    - `conversion_factor_<commodity>` <br>
-    - `flow_share_max_<commodity>` <br>
-    - `emission_factor_<commodity>_<emission_commodity>` <br>
-    Please make sure that the names accurately fit to this schema. Otherwise, the data adapter will not recognize the 
-    uploaded data and the relation of the parameters can not be defined. <br>
-
-    For exceptions to these defaults please use the "Parameter_Input-Output" sheet to clearly indicate that the parameter relations do not follow these defaults.
-    e.g. the investment costs of an electrolyzer that are defined in relation to the input power capacity.
-
-??? note "Monetary value"
-    
-    If not further specified the base year for the monatary value is 2021.
-
-    If monatary conversion were performed, the following logic was applied: <br>
-    _currency_A(year_x) -> currency_B(year_x) -> currency_B(year_z)_ <br>
-    e.g. USD2010 -> EUR2010 -> EUR2021 <br>
-
-    For the conversion please use the provided table "monetary_conversion" in the supplementary files at the sharepoint. 
-    The conversion is based on data from the ECB for the exchange rates and from the StBA for the harmonised index of consumer prices. <br>
-    The original years of the sources can be documented in the method column - e.g. {`Investment costs`:`Conversion from USD2019`}
-
-??? note "Leap years"
-
-      Leap years are considered in timeseries data by setting the timeindex_stop for **2024, 2040, 2060** to 
-      the **30.12.** <br> The timesseries has only 8760 instead of 8784 timesteps (-> the 31.12 is missing).
-
-      ```python
-      | id   | region   | type   | timeindex_start       | timeindex_stop        | timeindex_resolution   | exo_pkm_road_mcar   | version   | method   | source   | comment   |
-      |------|----------|--------|-----------------------|-----------------------|------------------------|---------------------|-----------|----------|----------|-----------|
-      | 1    | DE       |        | 2021-01-01 00:00:00   | 2021-12-31 23:00:00   | 1h                     | [1,2,3,…,8760]      | v1        |          |          |           |
-      | 2    | DE       |        | 2024-01-01 00:00:00   | 2024-12-30 23:00:00   | 1h                     | [1,2,3,…,8760]      | v1        |          |          |           |
-      | 3    | DE       |        | 2027-01-01 00:00:00   | 2027-12-31 23:00:00   | 1h                     | [1,2,3,…,8760]      | v1        |          |          |           |
-      | 4    | DE       |        | 2030-01-01 00:00:00   | 2030-12-31 23:00:00   | 1h                     | [1,2,3,…,8760]      | v1        |          |          |           |
-      | 5    | DE       |        | 2035-01-01 00:00:00   | 2035-12-31 23:00:00   | 1h                     | [1,2,3,…,8760]      | v1        |          |          |           |
-      | 6    | DE       |        | 2040-01-01 00:00:00   | 2040-12-30 23:00:00   | 1h                     | [1,2,3,…,8760]      | v1        |          |          |           |
-      | 7    | DE       |        | 2045-01-01 00:00:00   | 2045-12-31 23:00:00   | 1h                     | [1,2,3,…,8760]      | v1        |          |          |           |
-      | 8    | DE       |        | 2050-01-01 00:00:00   | 2050-12-31 23:00:00   | 1h                     | [1,2,3,…,8760]      | v1        |          |          |           |
-      | 9    | DE       |        | 2060-01-01 00:00:00   | 2060-12-30 23:00:00   | 1h                     | [1,2,3,…,8760]      | v1        |          |          |           |
-      | 10   | DE       |        | 2070-01-01 00:00:00   | 2070-12-31 23:00:00   | 1h                     | [1,2,3,…,8760]      | v1        |          |          |           |
-      ```
-
-??? note "Emission factors"
-    
-    The following emission types are considered: **co2, ch4 & n2o**. <br>
-    The 100-year time horizon global warming potentials (GWP) relative to CO2 according to the fourth IPCC assessment report (AR4) are taken as suggested 
-    by the UWB at the time of the definition in 2023: `gwp_ch4 : 25`, `gwp_n2o : 298` <br>
- 
-    Whenever possible the assumed co2 emission factors should be consistent for same commodities across sectors. <br> 
-    **Therefore, we defined a global table `global_emission_factors`**. <br><br>
-    These are defined based on the values from the National Inventory Report for the German Greenhouse Gas Inventory from 1990-2021 (NRI). <br>
-    Please, link the emission factor column of the processes to this table and the correct column via a foreign key 
-    as explained in the note below `Linking data with foreign keys`. <br>
-
-    Emission factors for ch4 and n2o are to be defined sector- or process-specific as they are more related to attributes such as firing temperature and humidity.
-    Therefore you can directly enter numbers in the respective emission column. If you still want to define ch4 values globally e.g. for similar processes, you can
-    add an extra column to the `global_emission_factors` adding <_ch4> or <_n2o> to the column names. <br>
-
-    If you need to aggregate emission factors from multiple fuels, please add a new column to the table and give it an appropriate name (e.g. waste_wood_wood_scraps_all).
-    Please indicate the different fuel emission factors as well as their share in the aggregation based on the assumed potentials in the metadata description of the column in the following format: `agg_<percentage>_<factor1>_<percentage>_<factor2>`. <br>
-    e.g. "description": "agg_30_waste_wood_wood_scraps_industry_70_waste_wood_wood_scraps_commercial_institutional"
-
-
-??? note "Linking data with foreign keys"
-
-    The general mapping structure is: <br>
-    `<table_name>.<column_name>` <br>
-
-    The note below `Structure of energy demands` exemplifies how data in the SRD is linked via foreign keys. <br>
-    The `tra_demand` table uses a foreign key mapping to the tables`tra_scalars` and `tra_timeseries`.<br><br>
-
-
-??? note "Structure of energy demands"
-      
-      Demands per sector are provided via three tables: <br>
-      1. `<sector>_scalars` <br>
-      2. `<sector>_timeseries` <br>
-      3. `<sector>_demand` <br>
-
-      The structure is exemplified on the transport sector below.
-      
-    === "`tra_scalars`"
-         The table collects all sector process-unspecific scalars. <br>
-         Also the annual demands. Demand columns are named as the commodity (unit must be declared via metadata)
-
-         ```python
-         | id | region | year | type | exo_pkm_road_mcar | exo_tkm_rail | exo_tkm_rail_short | exo_pkm_road_lcar | bandwidth_type | version | method | source | comment |
-         |----|--------|------|------|-------------------|--------------|--------------------|-------------------|----------------|---------|--------|--------|---------|
-         | 1  | DE     | 2021 |      | 34.4              | 100          | 1000               | 66                |                |         |        |        |         |
-         | 2  | DE     | 2024 |      | 34.4              | 101          | 1001               | 67                |                |         |        |        |         |
-         | 3  | DE     | 2027 |      | 34.4              | 102          | 1002               | 68                |                |         |        |        |         |
-         | 4  | DE     | 2030 |      | 34.4              | 103          | 1003               | 69                |                |         |        |        |         |
-         | 5  | DE     | 2035 |      | 34.4              | 104          | 1004               | 70                |                |         |        |        |         |
-         | 6  | DE     | 2040 |      | 34.4              | 105          | 1005               | 71                |                |         |        |        |         |
-         | 7  | DE     | 2045 |      | 34.4              | 106          | 1006               | 72                |                |         |        |        |         |
-         | 8  | DE     | 2050 |      | 34.4              | 107          | 1007               | 73                |                |         |        |        |         |
-         | 9  | DE     | 2060 |      | 34.4              | 108          | 1008               | 74                |                |         |        |        |         |
-         | 10 | DE     | 2070 |      | 34.4              | 109          | 1009               | 75                |                |         |        |        |         |
-         ```
-
-
-    === "`tra_timeseries`"
-         The table collects all sector timeseries - also the demand timeseries. <br>
-         Note that leap years are considered in time series data by setting the timeindex_stop for 2024, 2040, 2060 to the 30.12.
-        
-         ```python
-         | id | region | type | timeindex_start     | timeindex_stop      | timeindex_resolution | exo_pkm_road_mcar | exo_tkm_rail   | exo_tkm_rail_short | exo_pkm_road_lcar | exo_pkm_road_xcar | version | method | source | comment |
-         |----|--------|------|---------------------|---------------------|----------------------|-------------------|----------------|--------------------|-------------------|-------------------|---------|--------|--------|---------|
-         | 1  | DE     |      | 2021-01-01 00:00:00 | 2021-12-31 23:00:00 | 1h                   | [1,2,3,…,8760]    | [1,2,3,…,8760] | [1,2,3,…,8760]     | [1,2,3,…,8760]    | [1,2,3,…,8760]    | v1      |        |        |         |
-         | 2  | DE     |      | 2024-01-01 00:00:00 | 2024-12-30 23:00:00 | 1h                   | [1,2,3,…,8760]    | [1,2,3,…,8760] | [1,2,3,…,8760]     | [1,2,3,…,8760]    | [1,2,3,…,8760]    | v1      |        |        |         |
-         | 3  | DE     |      | 2027-01-01 00:00:00 | 2027-12-31 23:00:00 | 1h                   | [1,2,3,…,8760]    | [1,2,3,…,8760] | [1,2,3,…,8760]     | [1,2,3,…,8760]    | [1,2,3,…,8760]    | v1      |        |        |         |
-         | 4  | DE     |      | 2030-01-01 00:00:00 | 2030-12-31 23:00:00 | 1h                   | [1,2,3,…,8760]    | [1,2,3,…,8760] | [1,2,3,…,8760]     | [1,2,3,…,8760]    | [1,2,3,…,8760]    | v1      |        |        |         |
-         | 5  | DE     |      | 2035-01-01 00:00:00 | 2035-12-31 23:00:00 | 1h                   | [1,2,3,…,8760]    | [1,2,3,…,8760] | [1,2,3,…,8760]     | [1,2,3,…,8760]    | [1,2,3,…,8760]    | v1      |        |        |         |
-         | 6  | DE     |      | 2040-01-01 00:00:00 | 2040-12-30 23:00:00 | 1h                   | [1,2,3,…,8760]    | [1,2,3,…,8760] | [1,2,3,…,8760]     | [1,2,3,…,8760]    | [1,2,3,…,8760]    | v1      |        |        |         |
-         | 7  | DE     |      | 2045-01-01 00:00:00 | 2045-12-31 23:00:00 | 1h                   | [1,2,3,…,8760]    | [1,2,3,…,8760] | [1,2,3,…,8760]     | [1,2,3,…,8760]    | [1,2,3,…,8760]    | v1      |        |        |         |
-         | 8  | DE     |      | 2050-01-01 00:00:00 | 2050-12-31 23:00:00 | 1h                   | [1,2,3,…,8760]    | [1,2,3,…,8760] | [1,2,3,…,8760]     | [1,2,3,…,8760]    | [1,2,3,…,8760]    | v1      |        |        |         |
-         | 9  | DE     |      | 2060-01-01 00:00:00 | 2060-12-30 23:00:00 | 1h                   | [1,2,3,…,8760]    | [1,2,3,…,8760] | [1,2,3,…,8760]     | [1,2,3,…,8760]    | [1,2,3,…,8760]    | v1      |        |        |         |
-         | 10 | DE     |      | 2070-01-01 00:00:00 | 2070-12-31 23:00:00 | 1h                   | [1,2,3,…,8760]    | [1,2,3,…,8760] | [1,2,3,…,8760]     | [1,2,3,…,8760]    | [1,2,3,…,8760]    | v1      |        |        |         |
-         ```
-       
-    === "`tra_demand`"
-         In column "demand_annual" the scalar demand is mapped via foreign-key & also the units via the metadata from 
-         the `tra_scalars` table.
-         The normalised timeseries are mapped in the "demand_timeseries_fixed" column via Foreign-key.
-        
-         ```python
-         | id | region | year | type                           | demand_annual                 | demand_timeseries_fixed          | bandwidth_type | version | method | source | comment |
-         |----|--------|------|--------------------------------|-------------------------------|-----------------------------------|----------------|---------|--------|--------|---------|
-         | 1  | DE     | 2021 | helper_sink_exo_tkm_rail       | tra_scalars.exo_tkm_rail       | tra_timeseries.exo_tkm_rail       |                |         |        |        |         |
-         | 2  | DE     | 2024 | helper_sink_exo_tkm_rail       | tra_scalars.exo_tkm_rail       | tra_timeseries.exo_tkm_rail       |                |         |        |        |         |
-         | 3  | DE     | 2027 | helper_sink_exo_tkm_rail       | tra_scalars.exo_tkm_rail       | tra_timeseries.exo_tkm_rail       |                |         |        |        |         |
-         | 4  | DE     | 2030 | helper_sink_exo_tkm_rail       | tra_scalars.exo_tkm_rail       | tra_timeseries.exo_tkm_rail       |                |         |        |        |         |
-         | 5  | DE     | 2035 | helper_sink_exo_tkm_rail       | tra_scalars.exo_tkm_rail       | tra_timeseries.exo_tkm_rail       |                |         |        |        |         |
-         | 6  | DE     | 2040 | helper_sink_exo_tkm_rail       | tra_scalars.exo_tkm_rail       | tra_timeseries.exo_tkm_rail       |                |         |        |        |         |
-         | 7  | DE     | 2045 | helper_sink_exo_tkm_rail       | tra_scalars.exo_tkm_rail       | tra_timeseries.exo_tkm_rail       |                |         |        |        |         |
-         | 8  | DE     | 2050 | helper_sink_exo_tkm_rail       | tra_scalars.exo_tkm_rail       | tra_timeseries.exo_tkm_rail       |                |         |        |        |         |
-         | 9  | DE     | 2060 | helper_sink_exo_tkm_rail       | tra_scalars.exo_tkm_rail       | tra_timeseries.exo_tkm_rail       |                |         |        |        |         |
-         | 10 | DE     | 2070 | helper_sink_exo_tkm_rail       | tra_scalars.exo_tkm_rail       | tra_timeseries.exo_tkm_rail       |                |         |        |        |         |
-         | 11 | DE     | 2021 | helper_sink_exo_tkm_rail_short | tra_scalars.exo_tkm_rail_short | tra_timeseries.exo_tkm_rail_short |                |         |        |        |         |
-         | 12 | DE     | 2024 | helper_sink_exo_tkm_rail_short | tra_scalars.exo_tkm_rail_short | tra_timeseries.exo_tkm_rail_short |                |         |        |        |         |
-         | 13 | DE     | 2027 | helper_sink_exo_tkm_rail_short | tra_scalars.exo_tkm_rail_short | tra_timeseries.exo_tkm_rail_short |                |         |        |        |         |
-         | 14 | DE     | 2030 | helper_sink_exo_tkm_rail_short | tra_scalars.exo_tkm_rail_short | tra_timeseries.exo_tkm_rail_short |                |         |        |        |         |
-         | 15 | DE     | 2035 | helper_sink_exo_tkm_rail_short | tra_scalars.exo_tkm_rail_short | tra_timeseries.exo_tkm_rail_short |                |         |        |        |         |
-         | 16 | DE     | 2040 | helper_sink_exo_tkm_rail_short | tra_scalars.exo_tkm_rail_short | tra_timeseries.exo_tkm_rail_short |                |         |        |        |         |
-         | 17 | DE     | 2045 | helper_sink_exo_tkm_rail_short | tra_scalars.exo_tkm_rail_short | tra_timeseries.exo_tkm_rail_short |                |         |        |        |         |
-         | 18 | DE     | 2050 | helper_sink_exo_tkm_rail_short | tra_scalars.exo_tkm_rail_short | tra_timeseries.exo_tkm_rail_short |                |         |        |        |         |
-         | 19 | DE     | 2060 | helper_sink_exo_tkm_rail_short | tra_scalars.exo_tkm_rail_short | tra_timeseries.exo_tkm_rail_short |                |         |        |        |         |
-         | 20 | DE     | 2070 | helper_sink_exo_tkm_rail_short | tra_scalars.exo_tkm_rail_short | tra_timeseries.exo_tkm_rail_short |                |         |        |        |         |
-         | 21 | DE     | 2021 | helper_sink_exo_pkm_road_mcar  | tra_scalars.exo_pkm_road_mcar  | tra_timeseries.exo_pkm_road_mcar  |                |         |        |        |         |
-         | 22 | DE     | 2024 | helper_sink_exo_pkm_road_mcar  | tra_scalars.exo_pkm_road_mcar  | tra_timeseries.exo_pkm_road_mcar  |                |         |        |        |         |
-         | 23 | DE     | 2027 | helper_sink_exo_pkm_road_mcar  | tra_scalars.exo_pkm_road_mcar  | tra_timeseries.exo_pkm_road_mcar  |                |         |        |        |         |
-         | 24 | DE     | 2030 | helper_sink_exo_pkm_road_mcar  | tra_scalars.exo_pkm_road_mcar  | tra_timeseries.exo_pkm_road_mcar  |                |         |        |        |         |
-         | 25 | DE     | 2035 | helper_sink_exo_pkm_road_mcar  | tra_scalars.exo_pkm_road_mcar  | tra_timeseries.exo_pkm_road_mcar  |                |         |        |        |         |
-         | 26 | DE     | 2040 | helper_sink_exo_pkm_road_mcar  | tra_scalars.exo_pkm_road_mcar  | tra_timeseries.exo_pkm_road_mcar  |                |         |        |        |         |
-         | 27 | DE     | 2045 | helper_sink_exo_pkm_road_mcar  | tra_scalars.exo_pkm_road_mcar  | tra_timeseries.exo_pkm_road_mcar  |                |         |        |        |         |
-         | 28 | DE     | 2050 | helper_sink_exo_pkm_road_mcar  | tra_scalars.exo_pkm_road_mcar  | tra_timeseries.exo_pkm_road_mcar  |                |         |        |        |         |
-         | 29 | DE     | 2060 | helper_sink_exo_pkm_road_mcar  | tra_scalars.exo_pkm_road_mcar  | tra_timeseries.exo_pkm_road_mcar  |                |         |        |        |         |
-         | 30 | DE     | 2070 | helper_sink_exo_pkm_road_mcar  | tra_scalars.exo_pkm_road_mcar  | tra_timeseries.exo_pkm_road_mcar  |                |         |        |        |         |
-         | 31 | DE     | 2021 | helper_sink_exo_pkm_road_lcar  | tra_scalars.exo_pkm_road_lcar  | tra_timeseries.exo_pkm_road_lcar  |                |         |        |        |         |
-         | 32 | DE     | 2024 | helper_sink_exo_pkm_road_lcar  | tra_scalars.exo_pkm_road_lcar  | tra_timeseries.exo_pkm_road_lcar  |                |         |        |        |         |
-         | 33 | DE     | 2027 | helper_sink_exo_pkm_road_lcar  | tra_scalars.exo_pkm_road_lcar  | tra_timeseries.exo_pkm_road_lcar  |                |         |        |        |         |
-         | 34 | DE     | 2030 | helper_sink_exo_pkm_road_lcar  | tra_scalars.exo_pkm_road_lcar  | tra_timeseries.exo_pkm_road_lcar  |                |         |        |        |         |
-         | 35 | DE     | 2035 | helper_sink_exo_pkm_road_lcar  | tra_scalars.exo_pkm_road_lcar  | tra_timeseries.exo_pkm_road_lcar  |                |         |        |        |         |
-         | 36 | DE     | 2040 | helper_sink_exo_pkm_road_lcar  | tra_scalars.exo_pkm_road_lcar  | tra_timeseries.exo_pkm_road_lcar  |                |         |        |        |         |
-         | 37 | DE     | 2045 | helper_sink_exo_pkm_road_lcar  | tra_scalars.exo_pkm_road_lcar  | tra_timeseries.exo_pkm_road_lcar  |                |         |        |        |         |
-         | 38 | DE     | 2050 | helper_sink_exo_pkm_road_lcar  | tra_scalars.exo_pkm_road_lcar  | tra_timeseries.exo_pkm_road_lcar  |                |         |        |        |         |
-         | 39 | DE     | 2060 | helper_sink_exo_pkm_road_lcar  | tra_scalars.exo_pkm_road_lcar  | tra_timeseries.exo_pkm_road_lcar  |                |         |        |        |         |
-         | 40 | DE     | 2070 | helper_sink_exo_pkm_road_lcar  | tra_scalars.exo_pkm_road_lcar  | tra_timeseries.exo_pkm_road_lcar  |                |         |        |        |         |
-         ```
-
-
-
-??? note "Empty cells and value 0"
-
-    **Example table**: <br>
-    ```python
-    | id | region | year | type | capacity_p_inst                     | capacity_p_abs_new_max | conversion_factor_sec_elec | lifetime | cost_inv_capacity_p | cb_coefficient | cv_coefficient | bandwidth_type | version | method | source | comment |
-    |----|--------|------|------|-------------------------------------|------------------------|----------------------------|----------|---------------------|----------------|----------------|----------------|---------|--------|--------|---------|
-    | 1      | DE   | 2021 | pow_combustion_cc_chp_ccs_biomass_1 |                        | 0                          |          |                     |                |                |                |         |        |        |         |   |
-    | 2      | DE   | 2024 | pow_combustion_cc_chp_ccs_biomass_1 |                        | 0                          |          |                     |                |                |                |         |        |        |         |   |
-    | 3      | DE   | 2027 | pow_combustion_cc_chp_ccs_biomass_1 |                        | 0                          |          |                     |                |                |                |         |        |        |         |   |
-    | 4      | DE   | 2030 | pow_combustion_cc_chp_ccs_biomass_1 |                        | 0                          |          |                     |                |                |                |         |        |        |         |   |
-    | 5      | DE   | 2035 | pow_combustion_cc_chp_ccs_biomass_1 |                        |                            | 0.8      | 25                  | 1000           | 0.4            | 0.6            |         |        |        |         |   |
-    | 6      | DE   | 2040 | pow_combustion_cc_chp_ccs_biomass_1 |                        |                            | 0.8      | 25                  | 1000           | 0.4            | 0.6            |         |        |        |         |   |
-    | 7      | DE   | 2045 | pow_combustion_cc_chp_ccs_biomass_1 |                        |                            | 0.8      | 25                  | 800            | 0.4            | 0.6            |         |        |        |         |   |
-    | 8      | DE   | 2050 | pow_combustion_cc_chp_ccs_biomass_1 |                        |                            | 0.8      | 30                  | 800            | 0.4            | 0.6            |         |        |        |         |   |
-    | 9      | DE   | 2060 | pow_combustion_cc_chp_ccs_biomass_1 |                        |                            | 0.8      | 30                  | 800            | 0.4            | 0.6            |         |        |        |         |   |
-    | 10     | DE   | 2070 | pow_combustion_cc_chp_ccs_biomass_1 |                        |                            | 0.8      | 30                  | 600            | 0.4            | 0.6            |         |        |        |         |   |
-    | 11     | DE   | 2021 | pow_geothermal_st_1                 |                        | 0                          |          |                     |                |                |                |         |        |        |         |   |
-    | 12     | DE   | 2024 | pow_geothermal_st_1                 |                        | 0                          |          |                     |                |                |                |         |        |        |         |   |
-    | 13     | DE   | 2027 | pow_geothermal_st_1                 |                        | 0                          |          |                     |                |                |                |         |        |        |         |   |
-    | 14     | DE   | 2030 | pow_geothermal_st_1                 |                        | 0                          |          |                     |                |                |                |         |        |        |         |   |
-    | 15     | DE   | 2035 | pow_geothermal_st_1                 |                        | 0                          |          |                     |                |                |                |         |        |        |         |   |
-    | 16     | DE   | 2040 | pow_geothermal_st_1                 |                        | 0                          |          |                     |                |                |                |         |        |        |         |   |
-    | 17     | DE   | 2045 | pow_geothermal_st_1                 |                        |                            | 0.4      | 25                  | 800            |                |                |         |        |        |         |   |
-    | 18     | DE   | 2050 | pow_geothermal_st_1                 |                        |                            | 0.4      | 30                  | 800            |                |                |         |        |        |         |   |
-    | 19     | DE   | 2060 | pow_geothermal_st_1                 |                        |                            | 0.4      | 30                  | 800            |                |                |         |        |        |         |   |
-    | 20     | DE   | 2070 | pow_geothermal_st_1                 |                        |                            | 0.4      | 30                  | 600            |                |                |         |        |        |         |   |
-    | 21     | DE   | 2021 | pow_combustion_gt_hydrogen_0        | 3500                   |                            | 0.6      | 20                  | 500            |                |                |         |        |        |         |   |
-    | 22     | DE   | 2024 | pow_combustion_gt_hydrogen_0        | 3500                   |                            | 0.6      | 20                  | 500            |                |                |         |        |        |         |   |
-    | 23     | DE   | 2027 | pow_combustion_gt_hydrogen_0        | 3500                   |                            | 0.6      | 20                  | 500            |                |                |         |        |        |         |   |
-    | 24     | DE   | 2030 | pow_combustion_gt_hydrogen_0        | 3300                   |                            | 0.6      | 20                  | 500            |                |                |         |        |        |         |   |
-    | 25     | DE   | 2035 | pow_combustion_gt_hydrogen_0        | 3000                   |                            | 0.6      | 20                  | 500            |                |                |         |        |        |         |   |
-    | 26     | DE   | 2040 | pow_combustion_gt_hydrogen_0        | 2700                   |                            | 0.6      | 20                  | 500            |                |                |         |        |        |         |   |
-    | 27     | DE   | 2045 | pow_combustion_gt_hydrogen_0        | 1500                   |                            | 0.6      | 20                  | 500            |                |                |         |        |        |         |   |
-    | 28     | DE   | 2050 | pow_combustion_gt_hydrogen_0        | 200                    |                            | 0.6      | 20                  | 500            |                |                |         |        |        |         |   |
-    | 29     | DE   | 2060 | pow_combustion_gt_hydrogen_0        | 0                      |                            |          |                     |                |                |                |         |        |        |         |   |
-    | 30     | DE   | 2070 | pow_combustion_gt_hydrogen_0        | 0                      |                            |          |                     |                |                |                |         |        |        |         |   |
-    ```
-              
-
-    === "Empty cells"
-        **Parameter values that do not exist for a given year, process and parameter combination have no relevance for a process.** <br><br>
-        Example:
-        ```python
-        | id | region | year | type                                | capacity_p_inst    |
-        |----|--------|------|-------------------------------------|--------------------|
-        | 1  | DE     | 2021 | pow_combustion_cc_chp_ccs_biomass_1 |                    | 
-        | 2  | DE     | 2024 | pow_combustion_cc_chp_ccs_biomass_1 |                    |
-        ```
-    
-        <span style="color:red"> **Exception**: Unrestricted bound parameters </span>
-    
-        **Upper and lower bound paramters have empty cells if unrestricted**. <br> This convention was made to avoid 
-        high or low dummy values for upper or lower bounds.<br><br>
-        In the example above, new capacity investments (`capacity_p_abs_new_max`) for the processes are not restricted: <br>
-        ```python
-        | id | region | year | type                                 | capacity_p_abs_new_max |
-        |----|--------|------|--------------------------------------|------------------------|
-        | 5  | DE     | 2035 | pow_combustion_cc_chp_ccs_biomassl_1 |                        |
-        | 6  | DE     | 2040 | pow_combustion_cc_chp_ccs_biomassl_1 |                        |
-        | 7  | DE     | 2045 | pow_combustion_cc_chp_ccs_biomassl_1 |                        |
-        | 8  | DE     | 2050 | pow_combustion_cc_chp_ccs_biomassl_1 |                        |
-        | 9  | DE     | 2060 | pow_combustion_cc_chp_ccs_biomassl_1 |                        |
-        | 10 | DE     | 2070 | pow_combustion_cc_chp_ccs_biomassl_1 |                        |
-        | 17 | DE     | 2045 | pow_geothermal_st_1                  |                        |
-        | 18 | DE     | 2050 | pow_geothermal_st_1                  |                        |
-        | 19 | DE     | 2060 | pow_geothermal_st_1                  |                        |
-        | 20 | DE     | 2070 | pow_geothermal_st_1                  |                        |
-        ```
-        <br>
-        **Other bounds parameters**
-        ```python
-        | SEDOS parameter name     | Recommended unit   | Description                                                                                |
-        |--------------------------|--------------------|--------------------------------------------------------------------------------------------|
-        | capacity_p_abs_new_max   | MW                 | Absolute upper bound on level of investment in new power output capacity for a period.     |
-        | capacity_e_abs_new_max   | MWh                | Absolute upper bound on level of investment in new storage energy capacity for a period.   |
-        | capacity_w_abs_new_max   | Mt                 | Absolute upper bound on level of investment in new weight capacity for a period.           |
-        | activity_bound_min       | Mt/year            | Lower bound on the activity level of a process.                                            |
-        | activity_bound_fix       | Mt/year            | Fix bound on the activity level of a process.                                              |
-        | activity_bound_max       | Mt/year            | Upper bound on the activity level of a process.                                            |
-        | demand_timeseries_lower  | MWh, pkm, tkm      | Lower bound for demand timeseries.                                                         |
-        | demand_timeseries_upper  | MWh, pkm, tkm      | Upper bound for demand timeseries.                                                         |
-        ```
-  
-    === "Value 0"
-        **The value is actually zero for a given year, process and parameter.**<br><br>
-        Example: Existing capacity for `pow_combustion_gt_hydrogen_0` in 2060 is zero. <br>
-        ```python
-        | id | region | year | type                                 | capacity_p_inst    |   
-        |----|--------|------|--------------------------------------|--------------------|
-        | 29 | DE     | 2060 | pow_combustion_gt_hydrogen_0         | 0                  |   
-        ```
-    
-??? note "Over specification of processes"
-
-    **Example table**: <br>
-    ```python
-    | id | region | year     | type   | capacity_p_inst                        | capacity_p_abs_new_max | conversion_factor_sec_elec | lifetime                     | cost_inv_capacity_p | cb_coefficient        | cv_coefficient   | bandwidth_type   | version          | method    | source   | comment  |           |
-    |----|--------|----------|--------|----------------------------------------|------------------------|----------------------------|------------------------------|---------------------|-----------------------|------------------|------------------|------------------|-----------|----------|----------|-----------|
-    |    | 1      | DE       | 2021   | pow_combustion_cc_chp_ccs_biomass_1    |                        | 0                          |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 2      | DE       | 2024   | pow_combustion_cc_chp_ccs_biomass_1    |                        | 0                          |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 3      | DE       | 2027   | pow_combustion_cc_chp_ccs_biomass_1    |                        | 0                          |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 4      | DE       | 2030   | pow_combustion_cc_chp_ccs_biomass_1    |                        | 0                          |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 5      | DE       | 2035   | pow_combustion_cc_chp_ccs_biomass_1    |                        |                            | 0.8                          | 25                  | 1000                  | 0.4              | 0.6              |                  |           |          |          |           |
-    |    | 6      | DE       | 2040   | pow_combustion_cc_chp_ccs_biomass_1    |                        |                            | 0.8                          | 25                  | 1000                  | 0.4              | 0.6              |                  |           |          |          |           |
-    |    | 7      | DE       | 2045   | pow_combustion_cc_chp_ccs_biomass_1    |                        |                            | 0.8                          | 25                  | 800                   | 0.4              | 0.6              |                  |           |          |          |           |
-    |    | 8      | DE       | 2050   | pow_combustion_cc_chp_ccs_biomass_1    |                        |                            | 0.8                          | 30                  | 800                   | 0.4              | 0.6              |                  |           |          |          |           |
-    |    | 9      | DE       | 2060   | pow_combustion_cc_chp_ccs_biomass_1    |                        |                            | 0.8                          | 30                  | 800                   | 0.4              | 0.6              |                  |           |          |          |           |
-    |    | 10     | DE       | 2070   | pow_combustion_cc_chp_ccs_biomass_1    |                        |                            | 0.8                          | 30                  | 600                   | 0.4              | 0.6              |                  |           |          |          |           |
-    |    | 11     | DE       | 2021   | pow_geothermal_st_1                    |                        | 0                          |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 12     | DE       | 2024   | pow_geothermal_st_1                    |                        | 0                          |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 13     | DE       | 2027   | pow_geothermal_st_1                    |                        | 0                          |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 14     | DE       | 2030   | pow_geothermal_st_1                    |                        | 0                          |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 15     | DE       | 2035   | pow_geothermal_st_1                    |                        | 0                          |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 16     | DE       | 2040   | pow_geothermal_st_1                    |                        | 0                          |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 17     | DE       | 2045   | pow_geothermal_st_1                    |                        |                            | 0.4                          | 25                  | 800                   |                  |                  |                  |           |          |          |           |
-    |    | 18     | DE       | 2050   | pow_geothermal_st_1                    |                        |                            | 0.4                          | 30                  | 800                   |                  |                  |                  |           |          |          |           |
-    |    | 19     | DE       | 2060   | pow_geothermal_st_1                    |                        |                            | 0.4                          | 30                  | 800                   |                  |                  |                  |           |          |          |           |
-    |    | 20     | DE       | 2070   | pow_geothermal_st_1                    |                        |                            | 0.4                          | 30                  | 600                   |                  |                  |                  |           |          |          |           |
-    |    | 21     | DE       | 2021   | pow_combustion_gt_hydrogen_0           | 3500                   |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 22     | DE       | 2024   | pow_combustion_gt_hydrogen_0           | 3500                   |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 23     | DE       | 2027   | pow_combustion_gt_hydrogen_0           | 3500                   |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 24     | DE       | 2030   | pow_combustion_gt_hydrogen_0           | 3300                   |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 25     | DE       | 2035   | pow_combustion_gt_hydrogen_0           | 3000                   |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 26     | DE       | 2040   | pow_combustion_gt_hydrogen_0           | 2700                   |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 27     | DE       | 2045   | pow_combustion_gt_hydrogen_0           | 1500                   |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 28     | DE       | 2050   | pow_combustion_gt_hydrogen_0           | 200                    |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 29     | DE       | 2060   | pow_combustion_gt_hydrogen_0           | 0                      |                            |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 30     | DE       | 2070   | pow_combustion_gt_hydrogen_0           | 0                      |                            |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    ```
-
-    To avoid ambiguities in the data, the processes are specified as precisely as possible. <br> This means, for 
-    example, for investment processes all years are specified in the data, even if an investment process is only
-    available from later years, e.g 2035, as opposed to missing rows for 2021, 2024, 2027 and 2030. <br>    
-    To avoid data misinterpretation, the techno-economic parameter values for 2021, 2024, 2027 and 2030 are empty, 
-    since the process does not exist yet in such years.
-    <br>
-    ```python
-    | id | region | year     | type   | capacity_p_inst                        | capacity_p_abs_new_max | conversion_factor_sec_elec | lifetime                     | cost_inv_capacity_p | cb_coefficient        | cv_coefficient   | bandwidth_type   | version          | method    | source   | comment  |           |
-    |----|--------|----------|--------|----------------------------------------|------------------------|----------------------------|------------------------------|---------------------|-----------------------|------------------|------------------|------------------|-----------|----------|----------|-----------|
-    |    | 1      | DE       | 2021   | pow_combustion_cc_chp_ccs_biomass_1    |                        | 0                          |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 2      | DE       | 2024   | pow_combustion_cc_chp_ccs_biomass_1    |                        | 0                          |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 3      | DE       | 2027   | pow_combustion_cc_chp_ccs_biomass_1    |                        | 0                          |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 4      | DE       | 2030   | pow_combustion_cc_chp_ccs_biomass_1    |                        | 0                          |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 5      | DE       | 2035   | pow_combustion_cc_chp_ccs_biomass_1    |                        |                            | 0.8                          | 25                  | 1000                  | 0.4              | 0.6              |                  |           |          |          |           |
-    |    | 6      | DE       | 2040   | pow_combustion_cc_chp_ccs_biomass_1    |                        |                            | 0.8                          | 25                  | 1000                  | 0.4              | 0.6              |                  |           |          |          |           |
-    |    | 7      | DE       | 2045   | pow_combustion_cc_chp_ccs_biomass_1    |                        |                            | 0.8                          | 25                  | 800                   | 0.4              | 0.6              |                  |           |          |          |           |
-    |    | 8      | DE       | 2050   | pow_combustion_cc_chp_ccs_biomass_1    |                        |                            | 0.8                          | 30                  | 800                   | 0.4              | 0.6              |                  |           |          |          |           |
-    |    | 9      | DE       | 2060   | pow_combustion_cc_chp_ccs_biomass_1    |                        |                            | 0.8                          | 30                  | 800                   | 0.4              | 0.6              |                  |           |          |          |           |
-    |    | 10     | DE       | 2070   | pow_combustion_cc_chp_ccs_biomass_1    |                        |                            | 0.8                          | 30                  | 600                   | 0.4              | 0.6              |                  |           |          |          |           |
-    ```
-
-    Conversely, existing capacities are explicitly declared as 0 as soon as they are no longer in the system, as 
-    opposed to missing rows for 2060 and 2070. <br>
-    To avoid data misinterpretation, the techno-economic parameter values for 2060 and 2070 are empty, 
-    since the process does not exist anymore in such years.
-    <br>
-    ```python
-    | id | region | year     | type   | capacity_p_inst                        | capacity_p_abs_new_max | conversion_factor_sec_elec | lifetime                     | cost_inv_capacity_p | cb_coefficient        | cv_coefficient   | bandwidth_type   | version          | method    | source   | comment  |           |
-    |----|--------|----------|--------|----------------------------------------|------------------------|----------------------------|------------------------------|---------------------|-----------------------|------------------|------------------|------------------|-----------|----------|----------|-----------|
-    |    | 21     | DE       | 2021   | pow_combustion_gt_hydrogen_0           | 3500                   |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 22     | DE       | 2024   | pow_combustion_gt_hydrogen_0           | 3500                   |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 23     | DE       | 2027   | pow_combustion_gt_hydrogen_0           | 3500                   |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 24     | DE       | 2030   | pow_combustion_gt_hydrogen_0           | 3300                   |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 25     | DE       | 2035   | pow_combustion_gt_hydrogen_0           | 3000                   |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 26     | DE       | 2040   | pow_combustion_gt_hydrogen_0           | 2700                   |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 27     | DE       | 2045   | pow_combustion_gt_hydrogen_0           | 1500                   |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 28     | DE       | 2050   | pow_combustion_gt_hydrogen_0           | 200                    |                            | 0.6                          | 20                  | 500                   |                  |                  |                  |           |          |          |           |
-    |    | 29     | DE       | 2060   | pow_combustion_gt_hydrogen_0           | 0                      |                            |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    |    | 30     | DE       | 2070   | pow_combustion_gt_hydrogen_0           | 0                      |                            |                              |                     |                       |                  |                  |                  |           |          |          |           |
-    ```
-    <br>
-    
-
-
-## Units
-
-| Symbol | Name     | Range   | Description                                       |
-|-----|----------|---------|---------------------------------------------------|
-| `%` | `Percent` | [0,100] | A number or ratio expressed as a fraction of 100. |
-
-<!--
-  @bb-update with units from bwshare
--->
diff --git a/docs/developer/data_requirements/input_data.md b/docs/developer/data_requirements/input_data.md
index f465be6..644ce51 100644
--- a/docs/developer/data_requirements/input_data.md
+++ b/docs/developer/data_requirements/input_data.md
@@ -1,80 +1,6 @@
 # Input data 
 
-## Datamodel
-
-The **oedatamodel-parameter** ([docs](https://github.com/sedos-project/oedatamodel#oedatamodel-parameter)) has to 
-be used to provide input data in SEDOS. This choice was made to allow ontological annotation of data. The data 
-model consists of two table types: "[scalar](https://github.com/sedos-project/oedatamodel/blob/main/oedatamodel-parameter/oedatamodel-parameter-datapackage_scalar.csv)" and "[timeseries](https://github.com/sedos-project/oedatamodel/blob/main/oedatamodel-parameter/oedatamodel-parameter-datapackage_timeseries.csv)". Please choose the table type accordingly, depending on the data you want to upload:
-
-- Use scalar tables to provide parameters with no relation to a timeindex. <br>To properly fill the table, read the 
-  [scalar model column description](https://github.com/sedos-project/oedatamodel#scalar-description). <br>Use the 
-  [example scalar package metadata](https://github.com/sedos-project/oedatamodel/blob/main/oedatamodel-parameter/datamodel_scalars.json) to write your own metadata 
-  (see section [How to contribute data - 2. Create metadata](../how_to_contribute_data.md#create-metadata)
-- Use a timeseries table to provide parameters with relation to a timeindex. <br>Use the [timeseries model column description](https://github.com/sedos-project/oedatamodel#timeseries-description) to make yourself familiar with the 
-  fields and add metadata to your tables using the [example timeseries package metadata](https://github.com/sedos-project/oedatamodel/blob/main/oedatamodel-parameter/datamodel_timeseries.json) as a reference.
-
-**Datamodel features**
-
-- [type]() - use to specify multiple processes in one csv table (see [example](https://github.com/sedos-project/oedatamodel#example-table)) 
-- [bandwidth_type](https://github.com/sedos-project/oedatamodel#bandwidth-types-and-cell-methods) - specify how the 
-  data bandwidths are interpreted
-
-### Input and output energy vectors
-
-
-The input and output energy vectors of processes in SEDOS' reference energy system are defined in an external 
-table on the BW Sync&Share, in the sheet [Parameter_Input-Output](https://bwsyncandshare.kit.edu/f/2458081675).
-
-For processes with multiple input and/or output energy vectors it might not clear to which energy vector a 
-parameter column refers. Thus, the information has to be specified if needed.
-
-By `default`, **all** parameters of a process as assigned to all inputs and outputs of a process from the BW 
-Sync&Share table - sheet: [Process_Set](https://bwsyncandshare.kit.edu/f/2458081675)
-(the `default` does not appear in the input_output sheet, but is used in the backend of the data pipeline). <br> 
-<br>
-If needed, the `default` can be overwritten, simply by assigning other input(s) and output(s) to a specific 
-parameter of the process in the [Parameter_Input-Output](https://bwsyncandshare.kit.edu/f/2458081675) sheet.
-
-!!! Note "input_output insertion conventions"
-
-    * Enclose substituting inputs or outputs in squared brackets `[ ]`. E.g. 
-    * separate inputs or outputs with `,` (comma)
-
-
-**Example** 
-
-_Parameter_Input-Output_ sheet
-
-| parameter                              | process                        | input                              | output                                           |   |
-|----------------------------------------|--------------------------------|------------------------------------|--------------------------------------------------|---|
-| energy_conversion_efficiency_diesel    | mob_road_mcar_ice_pass_diesel  |                                    | [pkm_road_mcar_short_exo, pkm_road_mcar_long_ex] |   |
-| energy_conversion_efficiency_syndiesel | mob_road_mcar_ice_pass_diesel  |                                    | [pkm_road_mcar_short_exo, pkm_road_mcar_long_ex] |   |
-| emission_factor_diesel                 | mob_road_mcar_ice_pass_diesel  | diesel                             | CO2                                              |   |
-| emission_factor_syndiesel              | mob_road_mcar_ice_pass_diesel  | syndiesel                          | CO2                                              |   |
-| parameter1                             | process 1                      | [cane, honeymelon], heat, power    | [sugar, cinnamon], waste                         |   |
-
-In the [Process_Set](https://bwsyncandshare.kit.edu/f/2458081675) sheet, the process is assigned to:
-
-| Input                          | Process                       | Output                                                 |
-|--------------------------------|-------------------------------|--------------------------------------------------------|
-| [diesel, syndiesel, biodiesel] | mob_road_mcar_ice_pass_diesel | [pkm_road_mcar_short_exo, pkm_road_mcar_long_exo], CO2 |
-
-In the example it is assumed that the _mob_road_mcar_ice_pass_diesel_ emits the same amount of CO2 when using diesel or biodiesel as fuel.
-However, the process has different efficiencies depending on the fuel. <br>
-
-All other process parameters of _mob_road_mcar_ice_pass_diesel_, such as: _investment_cost, operational_life_time, 
-mileage, occupancy_rate, market_share_ are assigned to the `default` inputs (diesel, syndiesel_ren, syndiesel_conv, 
-biodiesel) and outputs (pkm_road_mcar_short_exo, pkm_road_mcar_long_exo, CO2) in the backend from the table sheet 
-[Process_Set](https://bwsyncandshare.kit.edu/f/2458081675).  <br>
-
-It is for the data providers (WP4-8) to assess whether this is correct for each process with respect to the 
-modelling.  <br>
-If the `default` is incorrect, the [Parameter_Input-Output](https://bwsyncandshare.kit.edu/f/2458081675) sheet 
-should be used to specify process parameters' inputs and outputs accordingly.
-
-
-## Data tables 
-
+## Data tables
 
 ### Naming conventions for data tables and parameters
 !!! warning "Note" 
@@ -109,92 +35,158 @@ Use semicolon `;` as the column delimiter.
 
 Use point `.` as decimal separator. 
 
-### Versioning convention
-??? Note "Versioning pattern"
-    
-    <br>**For SEDOS Reference Dataset** (SRD)<br><br>
-    `v` + `number` <br>
-    Version your data with **lowercase** letter `v` and arabic number, e.g.: v1, v2, v3, v4, ..., v12, v13
-    <br><br>
-    **For SEDOS Scenarios** <br><br>
-    When the data for the SRD is final, specific scenarios will be uploaded to showcase the application of the SRD in practice.
-    It's done by selecting specific values from SRD's bandwidths and appending them with a `scenario version` to 
-    respective tables. <br><br> 
-    `s` + `number` <br>
-    Version your data with **lowercase** letter `s` and arabic number, e.g.: s1, s2, s3, s4, ..., s12, s13
-    
-**Increase the version when** you want to **add or update data** to a table that has been already uploaded to the OEP.
-The oedatamodel-API will append new data versions to an existing OEP table.
-<br>
-
-**Reasoning:** By following the versioning convention the end-user only needs to know the latest data version of a 
-given process. Thus, querying the latest process data version will return a full set of coherent input data. 
-<br>
-Conversely, users only need to know one version number when querying older data versions to work with a full 
-set of coherent input data for a process. 
-
-**<span style="color:blue"> v1 </span>**: **Initial data**
-
-| id | region | year | type | capital_costs                            | lifetime                                 | bandwidth_type | version                                    | method | source | comment |
-|----|--------|------|------|-------------------------------------------|------------------------------------------|----------------|--------------------------------------------|-------|--------|---------|
-| 1  | DE     | 2020 |      | **<span style="color:blue"> 1 </span>**   | **<span style="color:blue"> 5 </span>**  |                | **<span style="color:blue"> v1 </span>**   |       |        |         |
-| 2  | DE     | 2025 |      | **<span style="color:blue"> 1.5 </span>** | **<span style="color:blue"> 6 </span>**  |                | **<span style="color:blue"> v1 </span>**   |       |        |         |
-
-**<span style="color:green"> v2 </span>**: **Adding data** to your csv table requires a new version `v2` for new 
-datapoints (capital_cost and lifetime in 2030, row=5), including a copy the existing data from `v1` as version `v2` 
-(reasoning see above)
-
-| id | region | year | type | capital_costs                            | lifetime                                 | bandwidth_type | version                                    | method | source | comment |
-|----|--------|------|------|------------------------------------------|------------------------------------------|----------------|--------------------------------------------|-------|--------|---------|
-| 1  | DE     | 2020 |      | 1                                        | 5                                        |                | **<span style="color:green"> v2 </span>**  |       |        |         |
-| 2  | DE     | 2025 |      | 1.5                                      | 6                                        |                | **<span style="color:green"> v2 </span>**  |       |        |         |
-| 3  | DE     | 2030 |      | **<span style="color:green"> 2 </span>** | **<span style="color:green"> 8 </span>** |                | **<span style="color:green"> v2 </span>**  |       |        |         |
-
-**<span style="color:red"> v3 </span>**: **Updating a datapoint** (lifetime, row=8) requires a new version 
-`v3`, including a copy the existing data from `v2` as version `v3`
-
-| id | region | year | type | capital_costs | lifetime| bandwidth_type | version                                    | method | source | comment |
-|----|--------|------|------|---------------|------------------------------------------|----------------|--------------------------------------------|-------|--------|---------|
-| 1  | DE     | 2020 |      | 1             | 5                                        |                | **<span style="color:red"> v3 </span>**    |       |        |         |
-| 2  | DE     | 2025 |      | 1.5           | 6                                        |                | **<span style="color:red"> v3 </span>**    |       |        |         |
-| 3  | DE     | 2030 |      | 2             | **<span style="color:red"> 15 </span>**  |                | **<span style="color:red"> v3 </span>**    |       |        |         |
-
-**<span style="color:orange"> v4 </span>**: **Updating a datapoint** (capital_costs, row=11) requires a new 
-version `v4`, including a copy the existing data from `v3` as version `v4`
-
-| id | region | year | type | capital_costs                            | lifetime| bandwidth_type | version                                    | method | source | comment |
-|----|--------|------|------|------------------------------------------|------------------------------------------|----------------|--------------------------------------------|-------|--------|---------|
-| 1  | DE     | 2020 |      | 1                                        | 5                                        |                | **<span style="color:orange"> v4 </span>** |       |        |         |
-| 2  | DE     | 2025 |      | 1.5                                      | 6                                        |                | **<span style="color:orange"> v4 </span>** |       |        |         |
-| 3  | DE     | 2030 |      | **<span style="color:orange"> 4 </span>** | 15                                       |                | **<span style="color:orange"> v4 </span>** |       |        |         |
-
-
-!!! Note "`id` column numbering" 
-
-    If you check `Automatically increase IDs, if IDs are already present in table` in the OEDatamodel-api when 
-    uploading the data, the id's will be updated automatically - as shown in the _Example result on OEP_ below.
-
-Example result on OEP: 
-
-| id | region | year | type | capital_costs                              | lifetime| bandwidth_type | version                                    | method | source | comment |
-|----|--------|------|------|--------------------------------------------|------------------------------------------|----------------|--------------------------------------------|-------|--------|---------|
-| 1  | DE     | 2020 |      | **<span style="color:blue"> 1 </span>**    | **<span style="color:blue"> 5 </span>**  |                | **<span style="color:blue"> v1 </span>**   |       |        |         |
-| 2  | DE     | 2025 |      | **<span style="color:blue"> 1.5 </span>**  | **<span style="color:blue"> 6 </span>**  |                | **<span style="color:blue"> v1 </span>**   |       |        |         |
-| 3  | DE     | 2020 |      | 1                                          | 5                                        |                | **<span style="color:green"> v2 </span>**  |       |        |         |
-| 4  | DE     | 2025 |      | 1.5                                        | 6                                        |                | **<span style="color:green"> v2 </span>**  |       |        |         |
-| 5  | DE     | 2030 |      | **<span style="color:green"> 2 </span>**   | **<span style="color:green"> 8 </span>** |                | **<span style="color:green"> v2 </span>**  |       |        |         |
-| 6  | DE     | 2020 |      | 1                                          | 5                                        |                | **<span style="color:red"> v3 </span>**    |       |        |         |
-| 7  | DE     | 2025 |      | 1.5                                        | 6                                        |                | **<span style="color:red"> v3 </span>**    |       |        |         |
-| 8  | DE     | 2030 |      | 2                                          | **<span style="color:red"> 15 </span>**  |                | **<span style="color:red"> v3 </span>**    |       |        |         |
-| 9  | DE     | 2020 |      | 1                                          | 5                                        |                | **<span style="color:orange"> v4 </span>** |       |        |         |
-| 10 | DE     | 2025 |      | 1.5                                        | 6                                        |                | **<span style="color:orange"> v4 </span>** |       |        |         |
-| 11 | DE     | 2030 |      |  **<span style="color:orange"> 4 </span>** | 15                                       |                | **<span style="color:orange"> v4 </span>** |       |        |         |
-
-
-!!! Note "Versioning note"
-
-    * Uploading a row which exists already in: "region, type, year, version" results in an error. 
-    * Otherwise single or multiple rows can be added to already existing versions
+[//]: # (### Versioning convention)
+
+[//]: # (??? Note "Versioning pattern")
+
+[//]: # (    )
+[//]: # (    <br>**For SEDOS Reference Dataset** &#40;SRD&#41;<br><br>)
+
+[//]: # (    `v` + `number` <br>)
+
+[//]: # (    Version your data with **lowercase** letter `v` and arabic number, e.g.: v1, v2, v3, v4, ..., v12, v13)
+
+[//]: # (    <br><br>)
+
+[//]: # (    **For SEDOS Scenarios** <br><br>)
+
+[//]: # (    When the data for the SRD is final, specific scenarios will be uploaded to showcase the application of the SRD in practice.)
+
+[//]: # (    It's done by selecting specific values from SRD's bandwidths and appending them with a `scenario version` to )
+
+[//]: # (    respective tables. <br><br> )
+
+[//]: # (    `s` + `number` <br>)
+
+[//]: # (    Version your data with **lowercase** letter `s` and arabic number, e.g.: s1, s2, s3, s4, ..., s12, s13)
+
+[//]: # (    )
+[//]: # (**Increase the version when** you want to **add or update data** to a table that has been already uploaded to the OEP.)
+
+[//]: # (The oedatamodel-API will append new data versions to an existing OEP table.)
+
+[//]: # (<br>)
+
+[//]: # ()
+[//]: # (**Reasoning:** By following the versioning convention the end-user only needs to know the latest data version of a )
+
+[//]: # (given process. Thus, querying the latest process data version will return a full set of coherent input data. )
+
+[//]: # (<br>)
+
+[//]: # (Conversely, users only need to know one version number when querying older data versions to work with a full )
+
+[//]: # (set of coherent input data for a process. )
+
+[//]: # ()
+[//]: # (**<span style="color:blue"> v1 </span>**: **Initial data**)
+
+[//]: # ()
+[//]: # (| id | region | year | type | capital_costs                            | lifetime                                 | bandwidth_type | version                                    | method | source | comment |)
+
+[//]: # (|----|--------|------|------|-------------------------------------------|------------------------------------------|----------------|--------------------------------------------|-------|--------|---------|)
+
+[//]: # (| 1  | DE     | 2020 |      | **<span style="color:blue"> 1 </span>**   | **<span style="color:blue"> 5 </span>**  |                | **<span style="color:blue"> v1 </span>**   |       |        |         |)
+
+[//]: # (| 2  | DE     | 2025 |      | **<span style="color:blue"> 1.5 </span>** | **<span style="color:blue"> 6 </span>**  |                | **<span style="color:blue"> v1 </span>**   |       |        |         |)
+
+[//]: # ()
+[//]: # (**<span style="color:green"> v2 </span>**: **Adding data** to your csv table requires a new version `v2` for new )
+
+[//]: # (datapoints &#40;capital_cost and lifetime in 2030, row=5&#41;, including a copy the existing data from `v1` as version `v2` )
+
+[//]: # (&#40;reasoning see above&#41;)
+
+[//]: # ()
+[//]: # (| id | region | year | type | capital_costs                            | lifetime                                 | bandwidth_type | version                                    | method | source | comment |)
+
+[//]: # (|----|--------|------|------|------------------------------------------|------------------------------------------|----------------|--------------------------------------------|-------|--------|---------|)
+
+[//]: # (| 1  | DE     | 2020 |      | 1                                        | 5                                        |                | **<span style="color:green"> v2 </span>**  |       |        |         |)
+
+[//]: # (| 2  | DE     | 2025 |      | 1.5                                      | 6                                        |                | **<span style="color:green"> v2 </span>**  |       |        |         |)
+
+[//]: # (| 3  | DE     | 2030 |      | **<span style="color:green"> 2 </span>** | **<span style="color:green"> 8 </span>** |                | **<span style="color:green"> v2 </span>**  |       |        |         |)
+
+[//]: # ()
+[//]: # (**<span style="color:red"> v3 </span>**: **Updating a datapoint** &#40;lifetime, row=8&#41; requires a new version )
+
+[//]: # (`v3`, including a copy the existing data from `v2` as version `v3`)
+
+[//]: # ()
+[//]: # (| id | region | year | type | capital_costs | lifetime| bandwidth_type | version                                    | method | source | comment |)
+
+[//]: # (|----|--------|------|------|---------------|------------------------------------------|----------------|--------------------------------------------|-------|--------|---------|)
+
+[//]: # (| 1  | DE     | 2020 |      | 1             | 5                                        |                | **<span style="color:red"> v3 </span>**    |       |        |         |)
+
+[//]: # (| 2  | DE     | 2025 |      | 1.5           | 6                                        |                | **<span style="color:red"> v3 </span>**    |       |        |         |)
+
+[//]: # (| 3  | DE     | 2030 |      | 2             | **<span style="color:red"> 15 </span>**  |                | **<span style="color:red"> v3 </span>**    |       |        |         |)
+
+[//]: # ()
+[//]: # (**<span style="color:orange"> v4 </span>**: **Updating a datapoint** &#40;capital_costs, row=11&#41; requires a new )
+
+[//]: # (version `v4`, including a copy the existing data from `v3` as version `v4`)
+
+[//]: # ()
+[//]: # (| id | region | year | type | capital_costs                            | lifetime| bandwidth_type | version                                    | method | source | comment |)
+
+[//]: # (|----|--------|------|------|------------------------------------------|------------------------------------------|----------------|--------------------------------------------|-------|--------|---------|)
+
+[//]: # (| 1  | DE     | 2020 |      | 1                                        | 5                                        |                | **<span style="color:orange"> v4 </span>** |       |        |         |)
+
+[//]: # (| 2  | DE     | 2025 |      | 1.5                                      | 6                                        |                | **<span style="color:orange"> v4 </span>** |       |        |         |)
+
+[//]: # (| 3  | DE     | 2030 |      | **<span style="color:orange"> 4 </span>** | 15                                       |                | **<span style="color:orange"> v4 </span>** |       |        |         |)
+
+[//]: # ()
+[//]: # ()
+[//]: # (!!! Note "`id` column numbering" )
+
+[//]: # ()
+[//]: # (    If you check `Automatically increase IDs, if IDs are already present in table` in the OEDatamodel-api when )
+
+[//]: # (    uploading the data, the id's will be updated automatically - as shown in the _Example result on OEP_ below.)
+
+[//]: # ()
+[//]: # (Example result on OEP: )
+
+[//]: # ()
+[//]: # (| id | region | year | type | capital_costs                              | lifetime| bandwidth_type | version                                    | method | source | comment |)
+
+[//]: # (|----|--------|------|------|--------------------------------------------|------------------------------------------|----------------|--------------------------------------------|-------|--------|---------|)
+
+[//]: # (| 1  | DE     | 2020 |      | **<span style="color:blue"> 1 </span>**    | **<span style="color:blue"> 5 </span>**  |                | **<span style="color:blue"> v1 </span>**   |       |        |         |)
+
+[//]: # (| 2  | DE     | 2025 |      | **<span style="color:blue"> 1.5 </span>**  | **<span style="color:blue"> 6 </span>**  |                | **<span style="color:blue"> v1 </span>**   |       |        |         |)
+
+[//]: # (| 3  | DE     | 2020 |      | 1                                          | 5                                        |                | **<span style="color:green"> v2 </span>**  |       |        |         |)
+
+[//]: # (| 4  | DE     | 2025 |      | 1.5                                        | 6                                        |                | **<span style="color:green"> v2 </span>**  |       |        |         |)
+
+[//]: # (| 5  | DE     | 2030 |      | **<span style="color:green"> 2 </span>**   | **<span style="color:green"> 8 </span>** |                | **<span style="color:green"> v2 </span>**  |       |        |         |)
+
+[//]: # (| 6  | DE     | 2020 |      | 1                                          | 5                                        |                | **<span style="color:red"> v3 </span>**    |       |        |         |)
+
+[//]: # (| 7  | DE     | 2025 |      | 1.5                                        | 6                                        |                | **<span style="color:red"> v3 </span>**    |       |        |         |)
+
+[//]: # (| 8  | DE     | 2030 |      | 2                                          | **<span style="color:red"> 15 </span>**  |                | **<span style="color:red"> v3 </span>**    |       |        |         |)
+
+[//]: # (| 9  | DE     | 2020 |      | 1                                          | 5                                        |                | **<span style="color:orange"> v4 </span>** |       |        |         |)
+
+[//]: # (| 10 | DE     | 2025 |      | 1.5                                        | 6                                        |                | **<span style="color:orange"> v4 </span>** |       |        |         |)
+
+[//]: # (| 11 | DE     | 2030 |      |  **<span style="color:orange"> 4 </span>** | 15                                       |                | **<span style="color:orange"> v4 </span>** |       |        |         |)
+
+[//]: # ()
+[//]: # ()
+[//]: # (!!! Note "Versioning note")
+
+[//]: # ()
+[//]: # (    * Uploading a row which exists already in: "region, type, year, version" results in an error. )
+
+[//]: # (    * Otherwise single or multiple rows can be added to already existing versions)
 
 
 #### SEDOS Reference Dataset (SRD) versioning
diff --git a/docs/developer/data_requirements/overview.md b/docs/developer/data_requirements/overview.md
deleted file mode 100644
index c386405..0000000
--- a/docs/developer/data_requirements/overview.md
+++ /dev/null
@@ -1,31 +0,0 @@
-# Overview of the SEDOS data architecture
-
-This section provides an introductory overview of SEDOS' data architecture and its elements, which you will find 
-explained more detailed in this documentation.
-
-In the SEDOS project, data is collected, preprocessed and published by its partners in five work packages (WPs) 4 
-to 8 representing five energy sectors (electricity, heat, ptx, transport, industry). Each WP is managed by one 
-partner, who contributes its energy sector expertise. 
-WPs 4-8 each create multiple input data data packages and upload them to the [OEP](https://openenergy-platform.
-org/dataedit/view/model_draft?query=sedos&tags=246) via the [OEDatamodel-API](https://modex.rl-institut.de/create_table/).
-
-The project's data architecture follows the [frictionless data](https://specs.frictionlessdata.io/data-package/) 
-conventions. Everytime new data is uploaded to the OEP, partners also need to register the new data version on 
-the databus via the OEDatamodel-API.
-Thus, the latest data versions from all WPs are available on the databus - ready for further processing in the 
-SEDOS data pipeline.
-
-Input data packages generated and published by WP 4-8 will be automatically checked for updates.
-The partners in WP9 will then download the input datapackages from the OEP and use it to set up, parameterize and 
-solve their energy system model. 
-The modelling results will be post-processed and uploaded to the OEP by the partners of WP9. 
-
-A generalized representation of a datapackage is shown in the figure below. A datapackage consists of:
-
-* **data** - containing parameters and values for modelling, and
-* **metadata** - describing the structure of the datamodel, and providing context to the data. 
-
-
-![datapackage](../../graphics/datapackage.jpg)
-
-
diff --git a/docs/visitor/data/data_conventions.md b/docs/visitor/data/data_conventions.md
index bd4e8f9..b0284cd 100644
--- a/docs/visitor/data/data_conventions.md
+++ b/docs/visitor/data/data_conventions.md
@@ -1,5 +1,26 @@
 # Data conventions
 
+
+## Datamodel
+
+The **oedatamodel-parameter** ([docs](https://github.com/sedos-project/oedatamodel#oedatamodel-parameter)) has to 
+be used to provide input data in SEDOS. This choice was made to allow ontological annotation of data. The data 
+model consists of two table types: "[scalar](https://github.com/sedos-project/oedatamodel/blob/main/oedatamodel-parameter/oedatamodel-parameter-datapackage_scalar.csv)" and "[timeseries](https://github.com/sedos-project/oedatamodel/blob/main/oedatamodel-parameter/oedatamodel-parameter-datapackage_timeseries.csv)". Please choose the table type accordingly, depending on the data you want to upload:
+
+- Use scalar tables to provide parameters with no relation to a timeindex. <br>To properly fill the table, read the 
+  [scalar model column description](https://github.com/sedos-project/oedatamodel#scalar-description). <br>Use the 
+  [example scalar package metadata](https://github.com/sedos-project/oedatamodel/blob/main/oedatamodel-parameter/datamodel_scalars.json) to write your own metadata 
+  (see section [How to contribute data - 2. Create metadata](../how_to_contribute_data.md#create-metadata)
+- Use a timeseries table to provide parameters with relation to a timeindex. <br>Use the [timeseries model column description](https://github.com/sedos-project/oedatamodel#timeseries-description) to make yourself familiar with the 
+  fields and add metadata to your tables using the [example timeseries package metadata](https://github.com/sedos-project/oedatamodel/blob/main/oedatamodel-parameter/datamodel_timeseries.json) as a reference.
+
+**Datamodel features**
+
+- [type]() - use to specify multiple processes in one csv table (see [example](https://github.com/sedos-project/oedatamodel#example-table)) 
+- [bandwidth_type](https://github.com/sedos-project/oedatamodel#bandwidth-types-and-cell-methods) - specify how the 
+  data bandwidths are interpreted
+
+
 ## Background information
 
 This section provides additional information on parameters and on the interpretation of their possible values.
@@ -376,12 +397,12 @@ Standard units should be harmonized as far as possible to improve transparency a
 The data adapters also convert the units to ensure compatibility with the frameworks. 
 There may also be exceptions to the suggestions below.
 
-| Size                              | Unit            |
-|-----------------------------------|-----------------|
-| Power                             | MW              |
-| Energy                            | GWh / PJ        |
-| Costs                             | Euro            |
-| Weight (products)                 | Million tonnes  |
-| Weight (CO2-equivalent emissions) | tonnes          |
-| Transport Service                 | Billion pkm/tkm |
-| Percent (range: [0,100])          | -               |
+| Size                              | Unit                     |
+|-----------------------------------|--------------------------|
+| Power                             | MW                       |
+| Energy                            | GWh / PJ                 |
+| Costs                             | Euro                     |
+| Weight (products)                 | Million tonnes           |
+| Weight (CO2-equivalent emissions) | tonnes                   |
+| Transport Service                 | Billion pkm, Billion tkm |
+| Percent (range: [0,100])          | -                        |
diff --git a/docs/visitor/data/nomenclature.md b/docs/visitor/data/nomenclature.md
index 9df13ed..ac54042 100644
--- a/docs/visitor/data/nomenclature.md
+++ b/docs/visitor/data/nomenclature.md
@@ -64,6 +64,107 @@ th {
 |          | water            | [ice, fcev], frei, [up, down]                                                                                                 | [lng, methanol, ethanol, ammonia, diesel, hydrogen]                  |                |                       |
 
 
+## Commodity Nomenclature
+
+The SEDOS commodities are categorized as follows:
+
+- ??? info "primary energy carriers (pri) "
+    
+        solar_radiation, wind_energy, hydro_energy, hydro_nat_inflow_seasonal,
+        hydro_nat_inflow_openloop, geoth_heat, envir_heat, biomass_stemwood,
+        biomass_pellets_pp, biomass_wood_chips_pp, biomass_wood_chips_pr,
+        biomass_straw_bales_pr, biomass_wood_chips_sr, biomass_pellets_sr,
+        waste_other_bio_sr, waste_municipal_bio, waste_wood, waste_animal,
+        sewage_gas, sewage_sludge, waste_non_bio, landfill_gas, cbm,
+        natural_gas, lignite, coal, crude_oil, uran, deuterium
+
+- ??? info "secondary energy carriers (sec)"
+
+        elec, elec_ind, elec_wallbox, elec_battery, biogas, natural_gas_syn,
+        lng, cng, lpg, methane, hydrogen, syngas, syngas_sr,
+        heating_oil, heavy_fuel_oil, diesel, diesel_fos, diesel_syn,
+        biodiesel, gasoline, gasoline_fos, gasoline_syn, ammonia, naphtha,
+        naphtha_syn, naphtha_fos, kerosene, kerosene_fos, kerosene_syn,
+        refinery_gas, biokerosene, ethanol, methanol, biomethanol,
+        heat_low, heat_high, heat_district_low_hh, heat_district_high_hh,
+        heat_district_low_cts, heat_district_high_cts, heat_district_high_ind,
+        saving, waste_heat_high_chemi, waste_heat_high_aluminum,
+        waste_heat_high_cement, waste_heat_high_copper, waste_heat_high_glass,
+        waste_heat_high_paper, waste_heat_high_steel
+
+- ??? info "industrial intermediate products (iip)"
+
+        aluminum_alumina, aluminum_crude, aluminum_scrap, auto_btry_hcv_bev,
+        auto_btry_hcv_fcev, auto_btry_hcv_icev, auto_btry_lcv_bev, auto_btry_lcv_fcev,
+        auto_btry_lcv_icev, auto_btry_pc_bev, auto_btry_pc_fcev, auto_btry_pc_icev,
+        auto_btry_pc_phev, auto_heat_proc, auto_hvlt, auto_mcmp, auto_painted_hcv_bev,
+        auto_painted_hcv_fcev, auto_painted_hcv_icev, auto_painted_lcv_bev, auto_painted_lcv_fcev,
+        auto_painted_lcv_icev, auto_painted_pc_bev, auto_painted_pc_fcev, auto_painted_pc_icev,
+        auto_painted_pc_phev, auto_parts_hcv_bev, auto_parts_hcv_fcev, auto_parts_hcv_icev,
+        auto_parts_lcv_bev, auto_parts_lcv_fcev, auto_parts_lcv_icev, auto_parts_pc_bev,
+        auto_parts_pc_fcev, auto_parts_pc_icev, auto_parts_pc_phev, auto_space_heat,
+        auto_hot_water, biogas_ind, black_liquor, steel_blafu_gas, steel_blafu_gas_in,
+        cement_clinker, cement_rawmeal, chemi_biomass, chemi_biomethanol,
+        chemi_electro_chem, chemi_heavy_fuel_oil, chemi_machine_drive,
+        chemi_meoh_f_h2, chemi_meoh_h2, chemi_methane, chemi_methanol,
+        chemi_naphtha, chemi_nh3_h2, chemi_mtg_mtk_h2, chemi_lpg,
+        chemi_processes_others, chemi_process_heat, chemi_steam, coke,
+        steel_coke_oven_gas, steel_coke_oven_gas_in, copper_crude, copper_scrap,
+        elec, glass_cont_batch, glass_cont_melt, glass_flat_batch, glass_flat_form,
+        glass_flat_melt, heat_proc, hot_water, paper_pulp, paper_recycle,
+        steam, steel_blafu_slag, steel_crudesteel, steel_iron_pellets, steel_raw_iron,
+        steel_scrap, steel_sinter, steel_sponge_iron, heat_high, heat_high_other,
+        cooling, heat_kiln, ict, lighting, machine_drive,
+        pump_fans_compression
+
+- ??? info "exogenous demand (exo)"
+
+          air_pkm, air_natio_pkm, air_europ_pkm, air_inter_pkm,
+          rail_pkm, rail_short_pkm, rail_long_pkm, rail_tkm,
+          rail_short_tkm, rail_long_tkm, rail_steam_pkm, water_tkm,
+          road_car_pkm, road_lcar_pkm, road_mcar_pkm, road_hcar_pkm,
+          road_motorc_pkm, road_truck_tkm, road_ltruck_tkm, road_mtruck_tkm,
+          road_htruck_tkm, road_bus_pkm, road_bus_short_pkm, road_bus_long_pkm,
+          road_agri_diesel, road_const_diesel, hh_space_heat, hh_hot_water,
+          hh_space_cooling, hh_re1_space_heat, hh_re1_hot_water, hh_re1_space_cooling,
+          hh_re2_space_heat, hh_re2_hot_water, hh_re2_space_cooling, hh_re3_space_heat,
+          hh_re3_hot_water, hh_re3_space_cooling, hh_rn1_space_heat, hh_rn1_hot_water,
+          hh_rn1_space_cooling, hh_ue1_space_heat, hh_ue1_hot_water, hh_ue1_space_cooling,
+          hh_ue2_space_heat, hh_ue2_hot_water, hh_ue2_space_cooling, hh_ue3_space_heat,
+          hh_ue3_hot_water, hh_ue3_space_cooling, hh_un1_space_heat, hh_un1_hot_water,
+          hh_un1_space_cooling, hh_me1_space_heat, hh_me1_hot_water, hh_me1_space_cooling,
+          hh_me2_space_heat, hh_me2_hot_water, hh_me2_space_cooling, hh_me3_space_heat,
+          hh_me3_hot_water, hh_me3_space_cooling, hh_mn1_space_heat, hh_mn1_hot_water,
+          hh_mn1_space_cooling, cts_space_heat, cts_hot_water, cts_space_cooling,
+          cts_proc_cooling, cts_t1e_space_heat, cts_t1e_hot_water, cts_t1e_space_cooling,
+          cts_t1n_space_heat, cts_t1n_hot_water, cts_t1n_space_cooling, cts_t2e_space_heat,
+          cts_t2e_hot_water, cts_t2e_space_cooling, cts_t2n_space_heat, cts_t2n_hot_water,
+          cts_t2n_space_cooling, aluminum, cement, copper, glass_cont,
+          glass_fibe, glass_flat, glass_spec, paper_hq, paper_lq, steel,
+          auto_pc_icev, auto_pc_phev, auto_pc_bev, auto_pc_fcev, auto_lcv_icev,
+          auto_lcv_bev, auto_lcv_fcev, auto_hcv_icev, auto_hcv_bev, auto_hcv_fcev,
+          chemi_olefins, chemi_btx, chemi_nh3, chemi_cl2, chemi_methanol,
+          chemi_others, other_ind, agri_livestock
+
+- ??? info "emissions (emi)"
+
+        co2_f_pow, co2_f_hea, co2_f_x2x, co2_f_tra, co2_f_ind, co2_p_ind, co2_p_x2x,
+        ch4_f_pow, ch4_f_hea, ch4_f_x2x, ch4_p_x2x, ch4_f_tra, ch4_f_ind, ch4_p_ind,
+        n2o_f_ind, n2o_f_pow, n2o_f_hea, n2o_f_tra, n2o_f_x2x, n2o_p_x2x,
+        co2_neg_air_dacc, co2_neg_fuel_cc_pow, co2_neg_fuel_cc_ind, co2_neg_fuel_cc_x2x,
+        co2_neg_proc_cc_ind, co2_neg_air_bio, co2_neg_imp, co2_reusable, co2_stored
+        
+
+The abbreviation of these categories are added as prefix to all commodities to identify them easily.
+The exogenous demand in the model is defined in such a way that the model has maximum degrees of freedom to choose 
+between the technologies to meet the demand. The final energy in the system is thus determined endogenously in the model.
+In the model structure additionally the "_orig" suffix can be found. This has been used to describe delivery 
+processes e.g. for pipelines in a one node model approach. For example "sec_methane_orig" is converted to "sec_methane" 
+in the "x2x_delivery_methane_pipeline_0" process which is modelled with a simplified efficiency and costs.
+These are not listed above.
+
+The structure of the emission commodities is elaborated in [Emission Concept](./visitor/structure/emissions.md)
+
 
 ## Parameter Nomenclature
 
diff --git a/docs/visitor/data/overview.md b/docs/visitor/data/overview.md
index 8d44e86..b4ce4ee 100644
--- a/docs/visitor/data/overview.md
+++ b/docs/visitor/data/overview.md
@@ -1,24 +1,15 @@
 # Overview of the SEDOS data
 
-## Sectors
-
-The SEDOS Reference Dataset (SRD) entails technology data across five sectors (power, heat, x2x, industry, mobility) 
-and various aggregation levels. The sectors and the used abbreviations within the data are listed below:
-
-| Sector abbreviation | Sector     | SEDOS workpackage |
-|---------------------|------------|-------------------|
-| pow                 | Power      | AP4               |
-| hea                 | Heat       | AP6               |
-| x2x                 | Power to X | AP5               |
-| ind                 | Industry   | AP7               |
-| tra                 | Transport  | AP8               |
+## Data architecture
 
-[//]: # (## TODO: Umfang der Daten beschreiben)
+This section provides an introductory overview of SEDOS' data architecture and its elements, which you will find 
+explained more detailed in this documentation.
 
-
-## Data Architecture
-
-Multiple input data packages are created and uploaded onthe [OEP](https://openenergy-platform.
+In the SEDOS project, data has been collected, preprocessed and published by its partners in five work packages (WPs) 4 
+to 8 representing five energy sectors (electricity, heat, ptx, transport, industry). Each WP is managed by one 
+partner, who contributes its energy sector expertise. Data can be uploaded each process for itself or in so named artifacts, 
+which can contain multiple processes with a similar table structure.
+Multiple input data packages have been created and uploaded onthe [OEP](https://openenergy-platform.
 org/dataedit/view/model_draft?query=sedos&tags=246) via the [OEDatamodel-API](https://modex.rl-institut.de/create_table/).
 
 The project's data architecture follows the [frictionless data](https://specs.frictionlessdata.io/data-package/) 
@@ -28,4 +19,24 @@ conventions. A generalized representation of a datapackage is shown in the figur
 * **metadata** - describing the structure of the datamodel, and providing context to the data. 
 
 
-![datapackage](../../graphics/datapackage.jpg)
\ No newline at end of file
+![datapackage](../../graphics/datapackage.jpg)
+
+
+Everytime new data is uploaded to the OEP, partners also need to register the new data version on 
+the databus via the OEDatamodel-API. Thus, the latest data versions from all WPs are available on the databus - 
+ready for further processing in the SEDOS data pipeline.
+
+[//]: # (## TODO: Umfang der Daten beschreiben)
+
+## Sectors
+
+The SEDOS Reference Dataset (SRD) entails technology data across five sectors (power, heat, x2x, industry, transport) 
+and various aggregation levels. The sectors and the used abbreviations within the data are listed below:
+
+| Sector abbreviation | Sector     | SEDOS workpackage |
+|---------------------|------------|-------------------|
+| pow                 | Power      | AP4               |
+| hea                 | Heat       | AP6               |
+| x2x                 | Power to X | AP5               |
+| ind                 | Industry   | AP7               |
+| tra                 | Transport  | AP8               |
\ No newline at end of file
diff --git a/mkdocs.yml b/mkdocs.yml
index f00ddc3..9af621c 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -9,6 +9,7 @@ nav:
             - 'Sectors':
                 - 'Transport': 'visitor/structure/transport.md'
         - 'Emission Concept': 'visitor/structure/emissions.md'
+        - 'Multiple Inputs and Outputs': 'visitor/structure/mimo.md'
         - 'Exogenous Values': 'visitor/structure/exogenous_values.md'
 #        - 'Model Structure': ''
 #        - 'Aggregations': ''
@@ -24,13 +25,11 @@ nav:
         - 'Results': 'visitor/model/results.md'
     - Developer Instructions:
         - '(Meta)Data Requirements':
-            - 'Overview': 'developer/data_requirements/overview.md'
             - 'Data': 'developer/data_requirements/input_data.md'
             - 'Metadata': 'developer/data_requirements/metadata.md'
             - 'Ontology': 'developer/data_requirements/ontology.md'
             - 'Licensing': 'developer/data_requirements/licensing.md'
         - 'How to Contribute Data?': 'developer/how_to_contribute_data.md'
-        - 'Data Preface': 'developer/data_preface.md'
         - 'FAQ': 'developer/faq.md'
     - 'Further Reading': 'publications.md'
     - 'Glossary': 'glossary.md'

From 1d17e8b622c83707dee959044d84a36886ef433b Mon Sep 17 00:00:00 2001
From: Beneharo <beneharo.reveron-baecker@tum.de>
Date: Wed, 27 Nov 2024 15:41:52 +0100
Subject: [PATCH 22/25] Add mimo description

---
 docs/visitor/structure/mimo.md | 32 ++++++++++++++++++++++++++++++++
 1 file changed, 32 insertions(+)
 create mode 100644 docs/visitor/structure/mimo.md

diff --git a/docs/visitor/structure/mimo.md b/docs/visitor/structure/mimo.md
new file mode 100644
index 0000000..71d0561
--- /dev/null
+++ b/docs/visitor/structure/mimo.md
@@ -0,0 +1,32 @@
+### Input and output energy vectors
+
+!!! Note "input_output insertion conventions"
+
+    * Enclose substituting inputs or outputs in squared brackets `[ ]`. E.g. 
+    * separate inputs or outputs with `,` (comma)
+
+For processes with multiple input and/or output energy vectors it might not always be clear to which energy vector a 
+parameter column refers.
+
+By `default`, parameters of a process are assigned to the main (first) output of a process from the BW 
+Sync&Share table - sheet: [Process_Set](https://bwsyncandshare.kit.edu/f/2458081675)
+(the `default` does not appear in the input_output sheet, but is used in the backend of the data pipeline).
+<br>
+If needed, the `default` can be overwritten, simply by assigning other input(s) and output(s) to a specific 
+parameter of the process in the [Parameter_Input-Output](https://bwsyncandshare.kit.edu/f/2458081675) sheet.
+
+It is for the data providers (WP4-8) to assess whether this is correct for each process with respect to the 
+modelling.
+<br>
+If the `default` is incorrect, the [Parameter_Input-Output](https://bwsyncandshare.kit.edu/f/2458081675) sheet should be used to specify process parameters' inputs and outputs accordingly.
+
+??? info "Example for parameter input-output specification"
+
+    For example, the costs of an electrolyzer are normally indicated in relation to the input and not to the output, while
+    for most other processes the costs are related to the main output. This exception has to be given as follows:
+    
+    | parameter          | process           | input     | output |
+    |--------------------|-------------------|-----------|--------|
+    | cost_fix_capacity_p| x2x_p2gas_aec_1   | sec_elec  |        |
+
+

From 6921bfd289bbd848aa48e6f8378a06cb8dcd33b9 Mon Sep 17 00:00:00 2001
From: Beneharo <beneharo.reveron-baecker@tum.de>
Date: Wed, 27 Nov 2024 15:42:09 +0100
Subject: [PATCH 23/25] Minor adjustments

---
 docs/visitor/model/results.md       | 292 ++++++++++------------------
 docs/visitor/structure/emissions.md |   1 +
 2 files changed, 108 insertions(+), 185 deletions(-)

diff --git a/docs/visitor/model/results.md b/docs/visitor/model/results.md
index 2022e62..3419f9f 100644
--- a/docs/visitor/model/results.md
+++ b/docs/visitor/model/results.md
@@ -1,134 +1,3 @@
-[//]: # (# Description GUI)
-
-[//]: # ()
-[//]: # (## Why this GUI?)
-
-[//]: # (To improve the transparency and reproducibility of the open source structure this GUI provides a few basic functionalities to explore the derived modeling base:)
-
-[//]: # ()
-[//]: # (- Looking into the underlying model structure of our reference energy system with the network graph.)
-
-[//]: # ()
-[//]: # (- Exploring the underlying input data of our model with an integrated table view.)
-
-[//]: # ()
-[//]: # (- See the aggregations steps defined in our model structure and download the different levels of detail .)
-
-[//]: # ()
-[//]: # (- Create charts based on possible model results as an outcome of different frameworks and scenarios using the same data.)
-
-[//]: # ()
-[//]: # (In the following, the last point, the presentation of the data in the form of charts, will be examined in more detail.)
-
-[//]: # ()
-[//]: # (To do this, a scenario must first be selected at the bottom right of the start page under “Explore the Model results” and the gui for creating charts can be accessed by clicking on “Explore Diagrams”.)
-
-[//]: # ()
-[//]: # (## Explore the Model results)
-
-[//]: # ()
-[//]: # (### What the GUI can do)
-
-[//]: # ()
-[//]: # (The data fed in can be displayed graphically using the GUI. )
-
-[//]: # (This can be filtered in various degrees of detail to adapt the display to your own requirements. )
-
-[//]: # (In this way, it is possible to display anything from a general overview of an entire sector to a detailed representation of an individual process.)
-
-[//]: # ()
-[//]: # (### Structure of the data)
-
-[//]: # ()
-[//]: # (The data describe different sectors with the respective processes and their input and output groups. )
-
-[//]: # (The processes can be aggregated, on the one hand with the help of categories that divide the sectors into individual areas, or through the specifications.)
-
-[//]: # (A distinction is also made between different parameters, depending on the type of data being considered.)
-
-[//]: # (In addition, the data is available for several years over decades, which makes it possible to analyze the development.)
-
-[//]: # ()
-[//]: # (### Structure of the GUI)
-
-[//]: # ()
-[//]: # (- **Scenario**: set the filters to get the data to be displayed)
-
-[//]: # ()
-[//]: # (- **Other**: if necessary, the scaling of the y-axis can be changed here by changing the unit as well as a change in the order e.g. of the bars in a bar diagram can be made; labels can be added and the data can be normalized)
-
-[//]: # ()
-[//]: # (- **Graph**: selection of the plot type and display; if required, add subplots; define x- and y-axis and if helpful change the coloring depending on the different choosing options under scenario)
-
-[//]: # ()
-[//]: # (- **Display**: illustration of the plot; change x- and y-title and add a legend if required)
-
-[//]: # ()
-[//]: # (- **Load Filter Settings**: load ready-made and saved diagrams)
-
-[//]: # ()
-[//]: # (- **Save Filer Settings**: If you have filter settings that you want to save for later analysis, you can enter a title in the box next to this button and save it after you have finished setting the filters)
-
-[//]: # ()
-[//]: # (- **Render chart and table**: load the chart)
-
-[//]: # ()
-[//]: # (- **Chart**: displays the diagram)
-
-[//]: # ()
-[//]: # (- **Table**: list of the data used in the diagram)
-
-[//]: # ()
-[//]: # (- **Embed Chart**: )
-
-[//]: # ()
-[//]: # (### How to create a plot)
-
-[//]: # ()
-[//]: # (There are three types of plots, all with different advantages and disadvantages, depending on what you want to display:)
-
-[//]: # ()
-[//]: # (- bar: )
-
-[//]: # (    - simple, easy to interpret)
-
-[//]: # (    - representation of discrete data)
-
-[//]: # (- line:)
-
-[//]: # (      - simple, easy to interpret)
-
-[//]: # (      - representation of continuous data)
-
-[//]: # (      - suitable for displaying temporal progressions)
-
-[//]: # (- sankey:)
-
-[//]: # (      - "flow-diagram")
-
-[//]: # (      - especially helpful for representing input and output flows of processes, categories etc.)
-
-[//]: # ()
-[//]: # (Thus while bar and line charts are well suited for comparing discrete/continuous data, sankey Diagrams can be used to visualize more complex flows and relationships.)
-
-[//]: # ()
-[//]: # (So before starting to create a plot, think about what type of diagram best suits your simulation and depending on that choose the right filters.)
-
-[//]: # ()
-[//]: # (Other tips:)
-
-[//]: # ()
-[//]: # (- especially for plots that take different processes, inputs/outputs etc. in consideration, coloring can be very helpful. You can set the characteristic by which the colors are to be differentiated, depending on what you want to display)
-
-[//]: # ()
-[//]: # (- Make sure that the units of the selected data match)
-
-[//]: # ()
-[//]: # (- If you only want to represent input or output data and not both, make sure to select no_input/no_output, otherwise they will be considered in the diagram)
-
-[//]: # ()
-[//]: # (- for bar and line plots: make sure to change the x- and y-axis to the right value you want to plot)
-
 # Results
 
 ## Changes in technology
@@ -213,69 +82,122 @@ More complex sankey variations:
 
 
 
+[//]: # ()
+[//]: # (# Emissions)
 
-# Emissions
+[//]: # ()
+[//]: # (The following four diagrams show the different emissions of the processes aluminum_sec_0 and its successor aluminum_sec_1. )
 
-The following four diagrams show the different emissions of the processes aluminum_sec_0 and its successor aluminum_sec_1. 
-In general, it can be seen that the emissions decrease over the years and level off at a relatively constant value.
+[//]: # (In general, it can be seen that the emissions decrease over the years and level off at a relatively constant value.)
 
-<div style="display: flex; flex-direction: column;">
-  <div style="display: flex; justify-content: space-between; align-items: flex-start;">
-    <div style="flex: 1; padding-right: 20px;">
-      <h3>aluminium_sec CO2</h3>
-      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1010" width="800" height="450"></iframe>
-    </div>
-    <div style="flex: 1; padding-left: 20px;">
-      <h3>aluminium_sec N2O</h3>
-      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1014" width="800" height="450"></iframe>
-    </div>
-  </div>
-</div>
+[//]: # ()
+[//]: # (<div style="display: flex; flex-direction: column;">)
 
-<div style="display: flex; flex-direction: column;">
-  <div style="display: flex; justify-content: space-between; align-items: flex-start;">
-    <div style="flex: 1; padding-right: 20px;">
-      <h3>aluminium_sec CH4</h3>
-      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1017" width="800" height="450"></iframe>
-    </div>
-    <div style="flex: 1; padding-left: 20px;">
-      <h3>aluminium_sec total</h3>
-      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1022" width="800" height="450"></iframe>
-    </div>
-  </div>
-</div>
+[//]: # (  <div style="display: flex; justify-content: space-between; align-items: flex-start;">)
 
+[//]: # (    <div style="flex: 1; padding-right: 20px;">)
 
-Same for glass_spec:
+[//]: # (      <h3>aluminium_sec CO2</h3>)
 
-<div style="display: flex; flex-direction: column;">
-  <div style="display: flex; justify-content: space-between; align-items: flex-start;">
-    <div style="flex: 1; padding-right: 20px;">
-      <h3>glass_spec CO2_f</h3>
-      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1027" width="800" height="450"></iframe>
-    </div>
-    <div style="flex: 1; padding-left: 20px;">
-      <h3>glass_spec CO2_p</h3>
-      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1030" width="800" height="450"></iframe>
-    </div>
-  </div>
-</div>
+[//]: # (      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1010" width="800" height="450"></iframe>)
 
-<div style="display: flex; flex-direction: column;">
-  <div style="display: flex; justify-content: space-between; align-items: flex-start;">
-    <div style="flex: 1; padding-right: 20px;">
-      <h3>glass_spec N2O</h3>
-      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1034" width="800" height="450"></iframe>
-    </div>
-    <div style="flex: 1; padding-left: 20px;">
-      <h3>glass_spec CH4</h3>
-      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1036" width="800" height="450"></iframe>
-    </div>
-  </div>
-</div>
+[//]: # (    </div>)
+
+[//]: # (    <div style="flex: 1; padding-left: 20px;">)
+
+[//]: # (      <h3>aluminium_sec N2O</h3>)
+
+[//]: # (      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1014" width="800" height="450"></iframe>)
+
+[//]: # (    </div>)
+
+[//]: # (  </div>)
+
+[//]: # (</div>)
+
+[//]: # ()
+[//]: # (<div style="display: flex; flex-direction: column;">)
+
+[//]: # (  <div style="display: flex; justify-content: space-between; align-items: flex-start;">)
+
+[//]: # (    <div style="flex: 1; padding-right: 20px;">)
+
+[//]: # (      <h3>aluminium_sec CH4</h3>)
+
+[//]: # (      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1017" width="800" height="450"></iframe>)
+
+[//]: # (    </div>)
+
+[//]: # (    <div style="flex: 1; padding-left: 20px;">)
+
+[//]: # (      <h3>aluminium_sec total</h3>)
+
+[//]: # (      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1022" width="800" height="450"></iframe>)
+
+[//]: # (    </div>)
+
+[//]: # (  </div>)
+
+[//]: # (</div>)
+
+[//]: # ()
+[//]: # ()
+[//]: # (Same for glass_spec:)
+
+[//]: # ()
+[//]: # (<div style="display: flex; flex-direction: column;">)
+
+[//]: # (  <div style="display: flex; justify-content: space-between; align-items: flex-start;">)
+
+[//]: # (    <div style="flex: 1; padding-right: 20px;">)
+
+[//]: # (      <h3>glass_spec CO2_f</h3>)
+
+[//]: # (      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1027" width="800" height="450"></iframe>)
+
+[//]: # (    </div>)
+
+[//]: # (    <div style="flex: 1; padding-left: 20px;">)
+
+[//]: # (      <h3>glass_spec CO2_p</h3>)
+
+[//]: # (      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1030" width="800" height="450"></iframe>)
+
+[//]: # (    </div>)
+
+[//]: # (  </div>)
+
+[//]: # (</div>)
+
+[//]: # ()
+[//]: # (<div style="display: flex; flex-direction: column;">)
+
+[//]: # (  <div style="display: flex; justify-content: space-between; align-items: flex-start;">)
+
+[//]: # (    <div style="flex: 1; padding-right: 20px;">)
+
+[//]: # (      <h3>glass_spec N2O</h3>)
+
+[//]: # (      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1034" width="800" height="450"></iframe>)
+
+[//]: # (    </div>)
+
+[//]: # (    <div style="flex: 1; padding-left: 20px;">)
+
+[//]: # (      <h3>glass_spec CH4</h3>)
+
+[//]: # (      <iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1036" width="800" height="450"></iframe>)
+
+[//]: # (    </div>)
+
+[//]: # (  </div>)
+
+[//]: # (</div>)
+
+[//]: # ()
+[//]: # (glass_spec total emissions: )
 
-glass_spec total emissions: 
-<iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1040" width="800" height="450"></iframe>
+[//]: # (<iframe src="https://sedos.apps.rl-institut.de/scalars/chart/?scenario_id=8&parameters_id=1040" width="800" height="450"></iframe>)
 
 
 [//]: # ()
diff --git a/docs/visitor/structure/emissions.md b/docs/visitor/structure/emissions.md
index d1934cc..42a3010 100644
--- a/docs/visitor/structure/emissions.md
+++ b/docs/visitor/structure/emissions.md
@@ -19,6 +19,7 @@ General information:
 ![emission_concept](../../graphics/emission_concept.jpg)
 
 Summarized, this means:
+
   - Fossil: CO2 emissions from combustion
   - Biogen: CO2 emissions from combustion & negative emissions from production/source processes of biogenic energy sources.
   - Synthetic: CO2 emissions from combustion & model-endogenous negative emissions for import and production with carbon captured CO2.
\ No newline at end of file

From d81689106419e0c7640b28860a8c195b29c72df6 Mon Sep 17 00:00:00 2001
From: Beneharo <beneharo.reveron-baecker@tum.de>
Date: Wed, 27 Nov 2024 16:06:58 +0100
Subject: [PATCH 24/25] Update README

---
 README.md | 25 ++++++++-----------------
 1 file changed, 8 insertions(+), 17 deletions(-)

diff --git a/README.md b/README.md
index 1fbbf55..886f98d 100644
--- a/README.md
+++ b/README.md
@@ -39,25 +39,16 @@ GitHub actions.
 
    Once started, mkdocs shows your local edits live in the browser without further do.
 
-6. Add all your local changes `git add .`
+6. Depending on the amount of changes you want to add, consider creating your own feature branch.
+   However, if you only add an independent docs module, you can push it to develop.
+   Make sure to checkout the branch you want to work on.
 
-7. Commit your local changes `git commit -m 'Extend documentation`
+7. Add all your local changes `git add .`
 
-8. Check if other SEDOS members uploaded changes before pushing yours `git pull`  
+8. Commit your local changes `git commit -m 'Extend documentation`
 
-9. Push your commits, to share them with the team `git push`
+9. If you have not created your own branch, check if other SEDOS members uploaded changes before pushing yours `git pull`  
 
+10. Push your commits, to share them with the team `git push`.
 
-## DEPRECIATED - How to update documentation on sedos-project.github.io/.github/ ?
-
-1. On your local machine, navigate to `~/.github`
-1. On `main` brachen, run `git pull` to download latest docs-version and to avoid merge conflicts later
-1. On your local machine, navigate to `~/organization` and checkout branch `main`
-2. Run `git pull`
-3. In `~/organization`, In your local conda environment run `mkdocs build -d ../.github` (or specify the absolute path to `.github`)
-4. Navigate to `~/.github` and run `git add .` to add all updated files
-5. Run `git commit -am 'Update docs with PR #'` and add PR-number from organisation repo to track changes better. 
-   If changes were implemented without PR, write helpful commit message. All changes are now saved to one commit.
-1. Run `git push` to update docs on github pages
-1. Go to `sedos-project.github.io/.github/`, wait 2 min. for the page to deploy and press `CTRL + F5` to reload page ignoring browser cache
-1. You should now see the updated documentation.
+11. If you have created your own branch, start a pull request.
\ No newline at end of file

From 3f5a6a1e718b5310ccddcdc3b50342f2352b10ab Mon Sep 17 00:00:00 2001
From: Beneharo <beneharo.reveron-baecker@tum.de>
Date: Wed, 11 Dec 2024 10:28:19 +0100
Subject: [PATCH 25/25] Add documentation on model structure such as lods,
 aggregations & mimos

---
 docs/graphics/aggregations.svg                | 322 ++++++
 docs/graphics/lods.png                        | Bin 0 -> 34152 bytes
 docs/graphics/model-frame-decisions_v3.svg    | 961 ++++++++++++++++++
 .../sector_overview_without-chapters.svg      | 243 +++++
 docs/visitor/structure/aggregations.md        |  25 +
 docs/visitor/structure/lods.md                |  22 +
 docs/visitor/structure/mimo.md                |   2 +-
 docs/visitor/structure/model_frame.md         |  72 +-
 docs/visitor/structure/overview.md            |   2 +-
 mkdocs.yml                                    |  16 +-
 10 files changed, 1585 insertions(+), 80 deletions(-)
 create mode 100644 docs/graphics/aggregations.svg
 create mode 100644 docs/graphics/lods.png
 create mode 100644 docs/graphics/model-frame-decisions_v3.svg
 create mode 100644 docs/graphics/sector_overview_without-chapters.svg
 create mode 100644 docs/visitor/structure/aggregations.md
 create mode 100644 docs/visitor/structure/lods.md

diff --git a/docs/graphics/aggregations.svg b/docs/graphics/aggregations.svg
new file mode 100644
index 0000000..a31ceee
--- /dev/null
+++ b/docs/graphics/aggregations.svg
@@ -0,0 +1,322 @@
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+   sodipodi:docname="aggregations.svg"
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+         id="tspan142">Variable Final Energy </tspan><tspan
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+         id="tspan87">7. Time Resolution</tspan><tspan
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+         id="tspan73">Greenfield vs <tspan
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+   id="tspan78">Central</tspan> vs Decentral</tspan></text>
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+         x="49.427406"
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+   id="tspan89">Determinstic</tspan> vs Stochastic</tspan></text>
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+         x="138.21054"
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+         id="tspan93">Short-Term vs <tspan
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+       style="fill:#ff8080;fill-opacity:1;stroke:#000000;stroke-width:0.980714;stroke-linecap:round;stroke-miterlimit:3.3;stroke-dasharray:none"
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+       width="54.205318"
+       height="20.327002"
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+    <path
+       style="fill:none;stroke:#000000;stroke-width:7.75934;stroke-linecap:butt;stroke-linejoin:miter;stroke-dasharray:7.75934, 7.75934;stroke-dashoffset:0;stroke-opacity:1;marker-start:url(#ConcaveTriangle-1-4);marker-end:url(#ConcaveTriangle-1)"
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+    <text
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diff --git a/docs/visitor/structure/aggregations.md b/docs/visitor/structure/aggregations.md
new file mode 100644
index 0000000..c363632
--- /dev/null
+++ b/docs/visitor/structure/aggregations.md
@@ -0,0 +1,25 @@
+# Aggregations
+
+## Selection and visualization of aggregations
+
+- The aggregation mapping list clearly defines the composition of the aggregation levels.
+- Modellers can take the relevant aggregations from the sectors from the reference data set.
+- Modellers can carry out possible further aggregations themselves based on the level of detail and assistance (documentation).
+- A tree structure can be used to display the aggregations graphically.
+
+![aggregations](../../graphics/aggregations.svg)
+
+[//]: # (## FAQs)
+
+[//]: # ()
+[//]: # (What applies if aggregated processes have different &#40;non-fuel-related&#41; variable costs?)
+
+[//]: # (- Aggregations must take place so you accept an error.)
+
+[//]: # (- Sector APs decide which aggregation methodology makes the slightest error.)
+
+[//]: # ()
+[//]: # (Which input is used for the aggregated process? Can aggregation only take place within a fuel?)
+
+[//]: # ()
+[//]: # (- No - multiple inputs are enabled via "multiple input/outputs functionality")
\ No newline at end of file
diff --git a/docs/visitor/structure/lods.md b/docs/visitor/structure/lods.md
new file mode 100644
index 0000000..b5a67b9
--- /dev/null
+++ b/docs/visitor/structure/lods.md
@@ -0,0 +1,22 @@
+# Levels of Detail (LODs)
+!!! note ""
+    In the SEDOS approach the sectors have a high flexibility in defining and applying aggregation levels to their model structure. 
+    This means different sectors can customize how they group or detail the information according to their needs.
+    The concept of Levels of Detail (LODs) with aggregation levels, as depicted in the diagram below, 
+    illustrates a structured approach to managing a model structure with different levels of detail without redundancy.
+
+
+## Design Principles
+
+- Flexible Aggregation: Not every aggregation level needs to include all technologies. This flexibility allows specific levels to focus on the most relevant technologies, 
+making it easier to streamline information and avoid unnecessary complexity.
+- Building upon Each Other: Aggregation levels can layer on top of one another. Lower levels (like LOD3) provide more granular details, while higher levels (like LOD1) present more aggregated information. 
+This layered approach ensures that different users or stakeholders can access information at varying degrees of complexity, based on their needs.
+
+## Examplary LOD structure:
+
+- LOD3 (Most Detailed): This level includes individual technologies (Tech 1, Tech 2, Tech 3) in full detail. It represents the most granular level, where each technology is presented independently.
+- LOD2 (Intermediate Detail): This level begins to aggregate some elements, combining "Tech 3" with "Agg 1" (an aggregated grouping of technologies). LOD2 provides an intermediate level of detail, balancing specificity with some aggregation.
+- LOD1 (Least Detailed): The highest level of aggregation, LOD1, takes the highest possible grouping of technologies. This level provides the most summarized view, ideal for high-level analysis or reporting.
+
+![lods](../../graphics/lods.png)
\ No newline at end of file
diff --git a/docs/visitor/structure/mimo.md b/docs/visitor/structure/mimo.md
index 71d0561..9edcbeb 100644
--- a/docs/visitor/structure/mimo.md
+++ b/docs/visitor/structure/mimo.md
@@ -2,7 +2,7 @@
 
 !!! Note "input_output insertion conventions"
 
-    * Enclose substituting inputs or outputs in squared brackets `[ ]`. E.g. 
+    * Enclose substituting inputs or outputs in squared brackets `[ ]`
     * separate inputs or outputs with `,` (comma)
 
 For processes with multiple input and/or output energy vectors it might not always be clear to which energy vector a 
diff --git a/docs/visitor/structure/model_frame.md b/docs/visitor/structure/model_frame.md
index c87a89f..7ab133b 100644
--- a/docs/visitor/structure/model_frame.md
+++ b/docs/visitor/structure/model_frame.md
@@ -28,75 +28,5 @@ can choose their energy sources endogenously.
 <br>
 The central assumptions are additionally highlighted in the figure below:
 <br>
-![sector_overview](../../graphics/model-frame-decisions_v3.jpg)
 
-
-[//]: # ()
-[//]: # (### 2.3.3 Temporal aggregation method)
-
-[//]: # ()
-[//]: # (Temporal aggregation aims to improve the feasibility of energy system models by defining shorter but representative input time series. For this purpose, selected clustering methods form a number of N type periods with M time steps, where N and M are user-definable variables. A sequence of these N type periods should represent the original data as accurately as possible.)
-
-[//]: # ()
-[//]: # (#### Notes:)
-
-[//]: # ()
-[//]: # (- The definition of N and M should be chosen so that a good compromise between computability and representativeness can be found.)
-
-[//]: # (- If the sequence of type periods is not considered, the storage behavior cannot be considered beyond the interval with M time steps. To take seasonal storage behavior into account, either)
-
-[//]: # (  - Additional boundary conditions in the frameworks &#40;see FINE&#41;)
-
-[//]: # (  - Separate aggregation for predefined periods &#40;e.g., Standard type weeks aggregation for seasons of a year&#41;)
-
-[//]: # ()
-[//]: # (- The criterion of security of supply is closely linked to the temporal resolution and the choice of time series and the type periods derived from them. In TSAM, extreme periods can also be considered for selected time series in the clustering process. Particularly, extreme weather events such as “dunkelflaute” should not be mapped in the SEDOS time series for operation. Still, they can be defined via capacity surcharges by defining availability parameters &#40;availability_constant&#41; for the processes. These...)
-
-[//]: # ()
-[//]: # (## 2.4 Spatial framework)
-
-[//]: # ()
-[//]: # (## 2.5 Technological framework with aggregations)
-
-[//]: # ()
-[//]: # (### 2.5.1 Description of the)
-
-[//]: # ()
-[//]: # (In SEDOS, the first focus is on detailed model structures in the electricity, heating, mobility, industry and X2X &#40;other conversion&#41; sectors. This means that researchers can use the reference data set to build models that are as detailed as possible and focus on a specific sector. When modeling energy systems, components from reality must always be abstracted into components in the model. This requires spatial aggregations on the one hand and technological aggregations on the other to ensure the computab...)
-
-[//]: # ()
-[//]: # (### 2.5.2 Treatment of parameters and auxiliary processes)
-
-[//]: # ()
-[//]: # (- For aggregated processes with different parameters, such as costs or emissions, a certain amount of error can be accepted. The choice of aggregation methodology is the responsibility of the APs and should ensure the lowest possible error.)
-
-[//]: # (- Users can carry out further aggregations independently based on the most detailed level and with the help of the documentation.)
-
-[//]: # ()
-[//]: # (### 2.5.3 Selection and visualization of aggregations)
-
-[//]: # ()
-[//]: # (- The aggregation mapping list clearly defines the composition of the aggregation levels.)
-
-[//]: # (- A tree structure can be used to display the aggregations graphically. [LINK])
-
-[//]: # (- Modellers can take the relevant aggregations from the sectors from the reference data set.)
-
-[//]: # (- Modellers can carry out possible further aggregations themselves based on the level of detail and assistance &#40;documentation&#41;.)
-
-[//]: # ()
-[//]: # (### 2.5.4 FAQs Aggregation)
-
-[//]: # ()
-[//]: # (#### What applies if aggregated processes have different &#40;non-fuel-related&#41; variable costs?)
-
-[//]: # ()
-[//]: # (- Aggregations must take place so you accept an error.)
-
-[//]: # (- Sector APs decide which aggregation methodology makes the slightest error.)
-
-[//]: # ()
-[//]: # (#### Which input is used for the aggregated process? Can aggregation only take place within a fuel?)
-
-[//]: # ()
-[//]: # (- No - multiple inputs are enabled via "multiple input/outputs functionality" &#40;see chapter 2.7&#41;.)
\ No newline at end of file
+![sector_overview](../../graphics/model-frame-decisions_v3.svg)
\ No newline at end of file
diff --git a/docs/visitor/structure/overview.md b/docs/visitor/structure/overview.md
index eb273ea..5688b3a 100644
--- a/docs/visitor/structure/overview.md
+++ b/docs/visitor/structure/overview.md
@@ -12,4 +12,4 @@ Key components of the model structure are defined in this Section. For further i
 
 The different sectors and their general interfaces are shown in the figure below:
 
-![sector_overview](../../graphics/sector_overview_without-chapters.jpg){ width=1000px }
\ No newline at end of file
+![sector_overview](../../graphics/sector_overview_without-chapters.svg)
\ No newline at end of file
diff --git a/mkdocs.yml b/mkdocs.yml
index 9af621c..40905d8 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -6,13 +6,15 @@ nav:
         - 'Overview': 'visitor/structure/overview.md'
         - 'Model Base': 
             - 'General features': 'visitor/structure/model_frame.md'
-            - 'Sectors':
-                - 'Transport': 'visitor/structure/transport.md'
-        - 'Emission Concept': 'visitor/structure/emissions.md'
-        - 'Multiple Inputs and Outputs': 'visitor/structure/mimo.md'
-        - 'Exogenous Values': 'visitor/structure/exogenous_values.md'
-#        - 'Model Structure': ''
-#        - 'Aggregations': ''
+            - 'Multiple Inputs and Outputs': 'visitor/structure/mimo.md'
+            - 'Exogenous Values': 'visitor/structure/exogenous_values.md'
+            - 'Emission Concept': 'visitor/structure/emissions.md'
+        - 'Sectors':
+            - 'Transport': 'visitor/structure/transport.md'
+        - 'Aggregations': 'visitor/structure/aggregations.md'
+        - 'Levels of Detail': 'visitor/structure/lods.md'
+
+
     - 'Reference Dataset':
         - 'Overview': 'visitor/data/overview.md'
         - 'Nomenclature': 'visitor/data/nomenclature.md'