Merge pull request #51 from Metropolitan-Council/22-wastewater-data-s…

…ourcing

Wastewater data, emissions

.gitignore

@@ -95,3 +95,49 @@ _energy/data-raw/eGRID2021_data.xlsx
 _energy/data-raw/eGRID2021_summary_tables.xlsx
 
 _energy/data-raw/egrid2022_summary_tables.xlsx
+
+_energy/data-raw/ghg-emission-factors-hub-2021.xlsx
+
+_energy/data-raw/~$ghg-emission-factors-hub-2021.xlsx
+
+_energy/data-raw/eia-recs-region-2020.csv
+
+_energy/data-raw/eGRID2021_data.xlsx
+
+_energy/data-raw/eGRID2021_summary_tables.xlsx
+
+_energy/data-raw/egrid2022_summary_tables.xlsx
+
+_energy/data-raw/ghg-emission-factors-hub-2021.xlsx
+
+_energy/data-raw/~$ghg-emission-factors-hub-2021.xlsx
+
+_energy/data-raw/eia-recs-region-2020.csv
+
+_energy/data-raw/eGRID2021_data.xlsx
+
+_energy/data-raw/eGRID2021_summary_tables.xlsx
+
+_energy/data-raw/egrid2022_summary_tables.xlsx
+
+_waste/data-raw/wastewater/epa/all-state-inventory-tools_0/
+
+_waste/data-raw/wastewater/epa/all-state-inventory-tools_0.zip
+
+_transportation/data-raw/epa/state_ghg/allstateghgdatapy2023readme_100323_0/
+
+_transportation/data-raw/epa/state_ghg/allstateghgdatapy2023readme_100323_0.zip
+
+_transportation/data-raw/epa/state_ghg/Methodology-Report-Full.pdf
+
+_energy/data-raw/ghg-emission-factors-hub-2021.xlsx
+
+_energy/data-raw/~$ghg-emission-factors-hub-2021.xlsx
+
+_energy/data-raw/eia-recs-region-2020.csv
+
+_energy/data-raw/eGRID2021_data.xlsx
+
+_energy/data-raw/eGRID2021_summary_tables.xlsx
+
+_energy/data-raw/egrid2022_summary_tables.xlsx

_energy/data_electricity.qmd

@@ -18,232 +18,9 @@ knitr::opts_knit$set(root.dir = rprojroot::find_rstudio_root_file())
 source(file.path(here::here(), "R/_quarto_helpers.R"))
 source(file.path(here::here(), "R/_load_pkgs.R"))
 source(file.path(here::here(), "R/_leaflet_helpers.R"))
-
-# MN
-MN_inScopeUtilities <- read_rds(here(
-  "_energy", "data", "MN_electricity_inScope_utilityCountyPairs.RDS"
-))
-MN_allUtilities <- read_rds(here(
-  "_energy", "data", "MN_elecUtils.RDS"
-))
-
-# WI
-WI_inScopeUtilities <- read_rds(here(
-  "_energy", "data", "WI_electricity_inScope_utilityCountyPairs.RDS"
-))
-
-WI_elecUtils_allTypes <- read_rds(here(
-  "_energy", "data", "WI_elecUtils_allTypes.RDS"
-))
-
-WI_inScope_elecUtils_fullServTerr <- read_rds(here(
-  "_energy", "data", "WI_inScope_elecUtils_fullServTerr.RDS"
-))
-
 hookaddcap()
 ```
 
-## Utility Service Area Maps
-
-To identify the utilities operating within our 11-county study area, we utilized data sets published by state sources. The outcome of our data collection, yielding a list of distinct utilities for which activity data should be collected, resides within distinct_electricity_util_WI.RDS (7 utilities, with four co-op utilities, three municipality utilities, and one investor-owned utility) and distinct_electricity_util_type_MN.RDS (18 utilities, with eight co-op utilities, nine municipality utilities, and one investor-owned utility)
-
-### Minnesota
-
-The Minnesota Public Utilities Commission publishes and maintains a map of electric utility service areas [@minnesotaitgeospatialinformationofficeElectricUtilityService2023]. Though this dataset is statewide(see fig. X), it is clipped to only include utility service areas within the nine Minnesota counties included in the study area of this inventory (see fig. Y -- note that utilities operating across county lines have a polygon covering the extent of their service territory within each and every county they operate within).
-
-```{r minnesota-elec-servTerrs}
-# Create a color palette
-utilities <- unique(MN_allUtilities$mpuc_name)
-color_palette <- colorFactor(palette = "viridis", domain = utilities)
-
-# bounding box for Minnesota
-bound_box <- list(
-  lng1 = -97, # Southwest longitude (closer in)
-  lat1 =  43.5, # Southwest latitude (closer in)
-  lng2 = -89.5, # Northeast longitude (closer in)
-  lat2 =  49 # Northeast latitude (closer in)
-)
-
-MN_elec_servTerrs <- council_leaflet() %>%
-  addPolygons(
-    data = MN_allUtilities %>% sf::st_transform(4326),
-    fill = TRUE,
-    fillColor = ~ color_palette(mpuc_name), # Use the color mapping
-    stroke = TRUE,
-    color = "gray",
-    weight = 2,
-    popup = MN_allUtilities$mpuc_name
-  ) %>%
-  fitBounds(
-    lng1 = bound_box[[1]],
-    lng2 = bound_box[[3]],
-    lat1 = bound_box[[2]],
-    lat2 = bound_box[[4]]
-  )
-
-MN_elec_servTerrs
-```
-
-```{r MN-elec-inScope-servTerrs}
-# Create a color palette
-inScopeUtilities <- unique(MN_inScopeUtilities$utility_name)
-color_palette <- colorFactor(palette = "viridis", domain = inScopeUtilities)
-
-# bounding box for MN study area counties
-MN_bound_box <- list(
-  lng1 = -94.5, # Southwest longitude (further zoomed out)
-  lat1 =  44.7, # Southwest latitude (further zoomed out)
-  lng2 = -92, # Northeast longitude (further zoomed out)
-  lat2 =  45.5 # Northeast latitude (further zoomed out)
-)
-
-# Test basic functionality of the custom function
-MN_elec_inScope_servTerrs <- council_leaflet() %>%
-  addPolygons(
-    data = MN_inScopeUtilities %>% sf::st_transform(4326),
-    fill = TRUE,
-    fillColor = ~ color_palette(utility_name), # Use the color mapping
-    stroke = TRUE,
-    color = "gray",
-    weight = 2,
-    popup = paste0(
-      MN_inScopeUtilities$utility_name,
-      ", ",
-      MN_inScopeUtilities$county_name,
-      " County"
-    )
-  ) %>%
-  fitBounds(
-    lng1 = MN_bound_box[[1]],
-    lng2 = MN_bound_box[[3]],
-    lat1 = MN_bound_box[[2]],
-    lat2 = MN_bound_box[[4]]
-  )
-
-MN_elec_inScope_servTerrs
-```
-
-### Wisconsin
-
-The Public Services Commission of Wisconsin publishes and maintains maps of service territories for electric utilities operating within the state. This data set relies upon, and is accurate to, "the extent that various sources \[utilities\] supplied accurate data." [@wisconsinpublicservicecommissionElectricServiceTerritories2024] This dataset spans the whole state of Wisconsin (see fig, X), and both clipped to the two Wisconsin counties included in the study area of this inventory (see fig. Y). However, because Wisconsin utilities do not report energy deliveries to the county level, we also generate a file with the entire service area of utilities that operate within Pierce and St. Croix County (see fig. Z), so that we can calculate population served by these utilities both within and without of our study area, as an input to estimated/modeled number of customer accounts and total energy deliveries to Pierce and St. Croix County.
-
-```{r wisconsin-elec-servTerrs}
-utilities <- unique(WI_elecUtils_allTypes$utility_name)
-color_palette <- colorFactor(palette = "viridis", domain = utilities)
-
-
-# bounding box for Wisconsin
-bound_box <- list(
-  lng1 = -92.888, # Southwest longitude
-  lat1 =  42.491, # Southwest latitude
-  lng2 = -86.805, # Northeast longitude
-  lat2 =  47.080 # Northeast latitude
-)
-
-WI_elec_servTerrs <- council_leaflet() %>%
-  addPolygons(
-    data = WI_elecUtils_allTypes %>% sf::st_transform(4326),
-    fill = TRUE,
-    fillColor = ~ color_palette(utility_name),
-    stroke = TRUE,
-    color = "gray",
-    weight = 2,
-    popup = WI_elecUtils_allTypes$utility_name
-    # Temporarily comment out group for debugging
-  ) %>%
-  fitBounds(
-    lng1 = bound_box[[1]],
-    lng2 = bound_box[[3]],
-    lat1 = bound_box[[2]],
-    lat2 = bound_box[[4]]
-  )
-
-WI_elec_servTerrs
-```
-
-inscope
-
-```{r wisconsin-elec-inScope-servTerrs}
-# Create a color palette
-inScopeUtilities <- unique(WI_inScopeUtilities$utility_name)
-color_palette <- colorFactor(palette = "viridis", domain = inScopeUtilities)
-
-
-WI_bound_box <- list(
-  lng1 = -92.9, # Southwest longitude
-  lat1 =  44.5, # Southwest latitude
-  lng2 = -92.0, # Northeast longitude
-  lat2 =  45.23 # Northeast latitude
-)
-
-
-WI_elec_inScope_servTerrs <- council_leaflet() %>%
-  addPolygons(
-    data = WI_inScopeUtilities %>% sf::st_transform(4326),
-    fill = TRUE,
-    fillColor = ~ color_palette(utility_name),
-    stroke = TRUE,
-    color = "gray",
-    weight = 2,
-    popup = paste0(
-      WI_inScopeUtilities$utility_name,
-      ", ",
-      WI_inScopeUtilities$county_name,
-      " County"
-    )
-  ) %>%
-  fitBounds(
-    lng1 = WI_bound_box[[1]],
-    lng2 = WI_bound_box[[3]],
-    lat1 = WI_bound_box[[2]],
-    lat2 = WI_bound_box[[4]]
-  )
-
-WI_elec_inScope_servTerrs
-```
-
-InScope whole territory
-
-```{r wisconsin-elec-inScope-wholeServTerrs}
-# Create a color palette
-inScopeUtilities <- unique(WI_inScope_elecUtils_fullServTerr$utility_name)
-color_palette <- colorFactor(palette = "viridis", domain = inScopeUtilities)
-
-
-# bounding box for Wisconsin
-WI_bound_box <- list(
-  lng1 = -92.888, # Southwest longitude
-  lat1 =  42.491, # Southwest latitude
-  lng2 = -86.805, # Northeast longitude
-  lat2 =  47.080 # Northeast latitude
-)
-
-
-WI_elec_inScope_wholeServTerrs <- council_leaflet() %>%
-  addPolygons(
-    data = WI_inScope_elecUtils_fullServTerr %>% sf::st_transform(4326),
-    fill = TRUE,
-    fillColor = ~ color_palette(utility_name),
-    stroke = TRUE,
-    color = "gray",
-    weight = 2,
-    popup = paste0(
-      WI_inScope_elecUtils_fullServTerr$utility_name,
-      ", ",
-      WI_inScope_elecUtils_fullServTerr$county_name,
-      " County"
-    )
-  ) %>%
-  fitBounds(
-    lng1 = WI_bound_box[[1]],
-    lng2 = WI_bound_box[[3]],
-    lat1 = WI_bound_box[[2]],
-    lat2 = WI_bound_box[[4]]
-  )
-
-WI_elec_inScope_wholeServTerrs
-```
-
 ## Utility Activity Data
 
 ### Minnesota

_energy/data_energy.qmd

@@ -20,16 +20,6 @@ hookaddcap()
 ```
 
 
-{{< include data_electricity.qmd >}}
-
-{{< include data_natural_gas.qmd >}}
-
-{{< include data_propane_kerosene.qmd >}}
-
-
-
-
-
 ```{r echo=FALSE}
 saveCap("energy-data")
 ```