Merge branch 'features/status2023' into features/status2023_cached_ffe

CHANGELOG.rst

@@ -262,6 +262,8 @@ Added
   `#169 <https://github.com/openego/powerd-data/pull/169>`_
 * Use cached DemandRegio tables and scale status2023 cts & ind
   `#185 <https://github.com/openego/powerd-data/pull/185>`_
+* Add status2023 scenario of demandregio households
+  `#186 <https://github.com/openego/powerd-data/pull/186>`_
 
 
 

src/egon/data/datasets/demandregio/__init__.py

@@ -445,18 +445,40 @@ def disagg_households_power(
     pd.DataFrame or pd.Series
     """
     # source: survey of energieAgenturNRW
+    # with/without direct water heating (DHW), and weighted average
+    # https://1-stromvergleich.com/wp-content/uploads/erhebung_wo_bleibt_der_strom.pdf
     demand_per_hh_size = pd.DataFrame(
         index=range(1, 7),
         data={
-            "weighted DWH": [2290, 3202, 4193, 4955, 5928, 5928],
-            "without DHW": [1714, 2812, 3704, 4432, 5317, 5317],
+            # "weighted DWH": [2290, 3202, 4193, 4955, 5928, 5928],
+            # "without DHW": [1714, 2812, 3704, 4432, 5317, 5317],
+            "with_DHW": [2181, 3843, 5151, 6189, 7494, 8465],
+            "without_DHW": [1798, 2850, 3733, 4480, 5311, 5816],
+            "weighted": [2256, 3248, 4246, 5009, 5969, 6579],
         },
     )
 
+    if scenario == "eGon100RE":
+        # chose demand per household size from survey without DHW
+        power_per_HH = (
+            demand_per_hh_size["without_DHW"] / 1e3
+        )  # TODO why without?
+
+        # calculate demand per nuts3 in 2011
+        df_2011 = data.households_per_size(year=2011) * power_per_HH
+
+        # scale demand per hh-size to meet demand without heat
+        # according to JRC in 2011 (136.6-(20.14+9.41) TWh)
+        # TODO check source and method
+        power_per_HH *= (136.6 - (20.14 + 9.41)) * 1e6 / df_2011.sum().sum()
+
+        # calculate demand per nuts3 in 2050
+        df = data.households_per_size(year=year) * power_per_HH
+
     # Bottom-Up: Power demand by household sizes in [MWh/a] for each scenario
-    if scenario in ["status2019", "eGon2021", "eGon2035"]:
+    elif scenario in ["status2019", "status2023", "eGon2021", "eGon2035"]:
         # chose demand per household size from survey including weighted DHW
-        power_per_HH = demand_per_hh_size["weighted DWH"] / 1e3
+        power_per_HH = demand_per_hh_size["weighted"] / 1e3
 
         # calculate demand per nuts3
         df = (
@@ -466,21 +488,16 @@ def disagg_households_power(
 
         if scenario == "eGon2035":
             # scale to fit demand of NEP 2021 scebario C 2035 (119TWh)
-            df *= 119000000 / df.sum().sum()
+            df *= 119 * 1e6 / df.sum().sum()
 
-    elif scenario == "eGon100RE":
-        # chose demand per household size from survey without DHW
-        power_per_HH = demand_per_hh_size["without DHW"] / 1e3
-
-        # calculate demand per nuts3 in 2011
-        df_2011 = data.households_per_size(year=2011) * power_per_HH
-
-        # scale demand per hh-size to meet demand without heat
-        # according to JRC in 2011 (136.6-(20.14+9.41) TWh)
-        power_per_HH *= (136.6 - (20.14 + 9.41)) * 1e6 / df_2011.sum().sum()
+        if scenario == "status2023":
+            # scale to fit demand of BDEW 2023 (130.48 TWh) see issue #180
+            df *= 130.48 * 1e6 / df.sum().sum()
 
-        # calculate demand per nuts3 in 2050
-        df = data.households_per_size(year=year) * power_per_HH
+        # if scenario == "status2021": # TODO status2021
+        #     # scale to fit demand of AGEB 2021 (138.6 TWh)
+        #     # https://ag-energiebilanzen.de/wp-content/uploads/2023/01/AGEB_22p2_rev-1.pdf#page=10
+        #     df *= 138.6 * 1e6 / df.sum().sum()
 
     else:
         print(
@@ -501,7 +518,7 @@ def insert_hh_demand(scenario, year, engine):
     Parameters
     ----------
     scenario : str
-        Name of the corresponing scenario.
+        Name of the corresponding scenario.
     year : int
         The number of households per region is taken from this year.
 
@@ -617,7 +634,7 @@ def insert_household_demand():
 
     scenarios = egon.data.config.settings()["egon-data"]["--scenarios"]
 
-    scenarios.append("eGon2021")
+    scenarios.append("eGon2021")  # TODO why is this always appended?
 
     for t in targets:
         db.execute_sql(

src/egon/data/datasets/scenario_parameters/parameters.py

@@ -123,6 +123,35 @@ def global_settings(scenario):
             "weather_year": 2011,
             "population_year": 2021,
         }
+    elif scenario == "status2023":
+        parameters = {
+            "weather_year": 2021, # TODO check if possible for 2023
+            "population_year": 2021,  # TODO check maybe possible for 2023 if
+                                        # ffe.opendata is online
+            # "fuel_costs": {
+            #     # TYNDP 2020, data for 2020 (https://2020.entsos-tyndp-scenarios.eu/fuel-commodities-and-carbon-prices/)
+            #     "oil": 12.9 * 3.6,  # [EUR/MWh]
+            #     "gas": 5.6 * 3.6,  # [EUR/MWh]
+            #     "coal": 3.0 * 3.6,  # [EUR/MWh]
+            #     "lignite": 1.1 * 3.6,  # [EUR/MWh]
+            #     "nuclear": 0.47 * 3.6,  # [EUR/MWh]
+            #     "biomass": read_costs(read_csv(2020), "biomass", "fuel"),
+            # },
+            # "co2_costs": 24.7,  # [EUR/t_CO2], source:
+            # # https://de.statista.com/statistik/daten/studie/1304069/umfrage/preisentwicklung-von-co2-emissionsrechten-in-eu/
+            # "co2_emissions": {
+            #     # Netzentwicklungsplan Strom 2035, Version 2021, 1. Entwurf, p. 40, table 8
+            #     "waste": 0.165,  # [t_CO2/MW_th]
+            #     "lignite": 0.393,  # [t_CO2/MW_th]
+            #     "gas": 0.201,  # [t_CO2/MW_th]
+            #     "nuclear": 0.0,  # [t_CO2/MW_th]
+            #     "oil": 0.288,  # [t_CO2/MW_th]
+            #     "coal": 0.335,  # [t_CO2/MW_th]
+            #     "other_non_renewable": 0.268,  # [t_CO2/MW_th]
+            # },
+            # "interest_rate": 0.05,  # [p.u.]
+        }
+
     elif scenario == "status2019":
         parameters = {
             "weather_year": 2019,
@@ -135,7 +164,7 @@ def global_settings(scenario):
                 "nuclear": 0.47*3.6,  # [EUR/MWh]
                 "biomass": read_costs(read_csv(2020), "biomass", "fuel"),
             },
-            "co2_costs": 24.7,  # [EUR/t_CO2], source: 
+            "co2_costs": 24.7,  # [EUR/t_CO2], source:
                 #https://de.statista.com/statistik/daten/studie/1304069/umfrage/preisentwicklung-von-co2-emissionsrechten-in-eu/
             "co2_emissions": {  # Netzentwicklungsplan Strom 2035, Version 2021, 1. Entwurf, p. 40, table 8
                 "waste": 0.165,  # [t_CO2/MW_th]