GRIDCERF: Geospatial Raster Input Data for Capacity Expansion Regional Feasibility
Description
Abstract:
Climate change, energy system transitions, and socioeconomic change are compounding influences affecting the growth of electricity demand. While energy efficiency initiatives and distributed resources can address a significant amount of this demand, the United States will likely still need new utility-scale generation resources. The energy sector uses capacity expansion planning models to determine the aggregate need for new generation, but these models are typically at the state or regional scale and are not equipped to address the wide range of location- and technology-specific issues that are increasingly a factor in power plant siting. To help address these challenges, we have developed the Geospatial Raster Input Data for Capacity Expansion Regional Feasibility (GRIDCERF) data package, a high-resolution product to evaluate siting suitability for renewable and non-renewable power plants in the conterminous United States. GRIDCERF offers 265 suitability layers for use with 56 power plant technology configurations in a harmonized format that can be easily ingested by geospatially-enabled modeling software. It also provides pre-compiled technology-specific suitability layers and allows for user customization to robustly address science objectives when evaluating varying future conditions.
Accompanying GitHub repository:
The following GitHub repository contains the code used to generate the data in this archive: https://github.com/IMMM-SFA/vernon-etal_2023_scidata
Contents:
Note:
GRIDCERF does not provide the source data directly due to some license restrictions related for direct redistribution of the unaltered source data. However, the included file "gridcerf_source_data_description.csv" details the provenance associated with each source dataset and notes their individual licenses/disclaimers.
Common Rasters:
Suitability Layer Type and Source |
GRIDCERF Raster Name |
Bureau of Land Management (BLM) Surface Management Agency Areas33 |
gridcerf_blm_surface_management_agency_areas.tif |
BLM National Landscape Conservation System (NLCS) - National Monuments34 |
gridcerf_blm_nlcs_national_monument_conus.tif |
BLM NLCS - Outstanding Natural Areas35 |
gridcerf_blm_nlcs_outstanding_natural_areas_conus.tif |
BLM NLCS - Wilderness36 |
gridcerf_blm_nlcs_wilderness_conus.tif |
BLM NLCS - Wilderness Study Areas37 |
gridcerf_blm_nlcs_wilderness_study_areas_conus.tif |
National Park Service (NPS) Class 1 airsheds38 |
gridcerf_class1_airsheds_conus.tif |
NPS Administrative Boundaries39 |
gridcerf_nps_administrative_boundaries_conus.tif |
NPS Historic Trails40 |
gridcerf_nps_historic_trails_conus.tif |
NPS Scenic Trails41 |
gridcerf_nps_scenic_trails_conus.tif |
U.S. Fish and Wildlife Service (USFWS) - Critical Habitat42 |
gridcerf_usfws_critical_habitat_conus.tif |
USFWS - Special Designation43 |
gridcerf_usfws_special_designation_conus.tif |
USFWS - Wild and Scenic River System44 |
gridcerf_usfws_national_wild_scenic_river_system_conus.tif |
USFWS - National Realty Tracts45 |
gridcerf_usfws_national_realty_tracts_conus.tif |
National Land Cover Dataset (NLCD) Wetlands46 |
gridcerf_nlcd_wetlands_conus.tif |
U.S. Forest Service (USFS) Administrative Boundaries47 |
gridcerf_usfs_administrative_boundaries_conus.tif |
USFS Wilderness Areas48 |
gridcerf_usfs_wilderness_areas_conus.tif |
U.S. Geological Survey (USGS) National Wilderness Lands49 |
gridcerf_usgs_wilderness_areas_conus.tif |
USGS Protected Areas of the U.S - Class 1&250 |
gridcerf_usgs_padus_class_1_to_2_conus.tif |
U.S. State Protected Lands51 |
gridcerf_wdpa_state_protected_lands_conus.tif |
Nature Conservancy lands52 |
gridcerf_wdpa_tnc_managed_lands_conus.tif |
Technology-specific Rasters:
Suitability Layer Type and Source |
GRIDCERF Raster Name |
Bureau of Indian Affairs (BIA) Land Area Representations Dataset53 |
gridcerf_bia_land_area_representations_conus.tif |
Slope 5% or less suitable20 |
gridcerf_srtm_slope_5pct_or_less.tif |
Slope 10% or less suitable20 |
gridcerf_srtm_slope_10pct_or_less.tif |
Slope 12% or less suitable20 |
gridcerf_srtm_slope_12pct_or_less.tif |
Slope 20% or less suitable20 |
gridcerf_srtm_slope_20pct_or_less.tif |
Airports (10-mile buffer)54 |
gridcerf_airports_10mi_buffer_conus.tif |
Airports (3-mile buffer)54 |
gridcerf_airports_3mi_buffer_conus.tif |
Proximity to Railroad and Navigable Waters (< 5 km) 55,56 |
gridcerf_usdot_railnodes_navwaters_within5km.tif |
Coal Supply55–57 |
gridcerf_coalmines20km_railnodes5km_navwaters5km_conus.tif |
United States Environmental Protection Agency (EPA) CO Non-attainment Areas58 |
gridcerf_epa_nonattainment_co_conus.tif |
EPA NOx Non-attainment Areas58 |
gridcerf_epa_nonattainment_no2_conus.tif |
EPA Ozone Non-attainment Areas58 |
gridcerf_epa_nonattainment_ozone_conus.tif |
EPA Lead Non-attainment Areas58 |
gridcerf_epa_nonattainment_lead_conus.tif |
EPA PM10 Non-attainment Areas58 |
gridcerf_epa_nonattainment_pm10_conus.tif |
EPA PM2.5 Non-attainment Areas58 |
gridcerf_epa_nonattainment_pm2p5_conus.tif |
EPA SOx Non-attainment Areas58 |
gridcerf_epa_nonattainment_so2_conus.tif |
Earthquake Potential59 |
gridcerf_usgs_earthquake_pga_0.3_at_2pct_in_50yrs_conus.tif |
Densely population areas11 |
gridcerf_densely_populated_ssp[2,3,5]_[year].tif |
Densely population areas buffered by 25 miles11 |
gridcerf_densely_populated_ssp[2,3,5]_[year]_buff25mi.tif |
Densely population areas – nuclear11 |
gridcerf_densely_populated_ssp[2,3,5]_[year]_nuclear.tif |
National Hydrography Dataset (version 2; NHDv2)32 |
gridcerf_nhd2plus_surfaceflow_greaterthan[bin]mgd_buffer20km.tif |
National Renewable Energy Laboratory (NREL) concentrating solar direct normal potential26 |
gridcerf_nrel_solar_csp_centralized_potential.tif |
NREL photovoltaic potential26 |
gridcerf_nrel_solar_pv_centralized_potential.tif |
NREL Wind Integration National Dataset (WIND) toolkit22 |
gridcerf_nrel_wind_development_potential_hubheight[080,110,140]_cf35.tif |
Compiled Technology Rasters:
The list of layers that make up each compiled technology raster can be found in the "reference/compiled_layer_configuration.txt" file in this data archive.
The following technology raster file names are self-descriptive in the format "gridcerf_<technology>_<subtype>_<carbon_capture>_<cooling_type>.tif". Some technologies do not have a carbon capture or cooling type designation and will simply have technology specific considerations listed.
gridcerf_biomass_conventional_ccs_dry.tif gridcerf_biomass_conventional_ccs_oncethrough.tif gridcerf_biomass_conventional_ccs_recirculating.tif gridcerf_biomass_conventional_no-ccs_dry.tif gridcerf_biomass_conventional_no-ccs_oncethrough.tif gridcerf_biomass_conventional_no-ccs_pond.tif gridcerf_biomass_conventional_no-ccs_recirculating.tif gridcerf_biomass_igcc_no-ccs_dry.tif gridcerf_biomass_igcc_no-ccs_oncethrough.tif gridcerf_biomass_igcc_no-ccs_recirculating.tif gridcerf_biomass_igcc_with-ccs_dry.tif gridcerf_biomass_igcc_with-ccs_oncethrough.tif gridcerf_biomass_igcc_with-ccs_recirculating.tif gridcerf_coal_conventional_ccs_dry.tif gridcerf_coal_conventional_ccs_oncethrough.tif gridcerf_coal_conventional_ccs_recirculating.tif gridcerf_coal_conventional_no-ccs_dry.tif gridcerf_coal_conventional_no-ccs_oncethrough.tif gridcerf_coal_conventional_no-ccs_pond.tif gridcerf_coal_conventional_no-ccs_recirculating.tif gridcerf_coal_igcc_no-ccs_dry.tif gridcerf_coal_igcc_no-ccs_oncethrough.tif gridcerf_coal_igcc_no-ccs_recirculating.tif gridcerf_coal_igcc_with-ccs_dry.tif gridcerf_coal_igcc_with-ccs_oncethrough.tif gridcerf_coal_igcc_with-ccs_recirculating.tif gridcerf_gas_cc_ccs_dry.tif gridcerf_gas_cc_ccs_oncethrough.tif gridcerf_gas_cc_ccs_recirculating.tif gridcerf_gas_cc_no-ccs_dry.tif gridcerf_gas_cc_no-ccs_oncethrough.tif gridcerf_gas_cc_no-ccs_pond.tif gridcerf_gas_cc_no-ccs_recirculating.tif gridcerf_gas_turbine_dry.tif gridcerf_gas_turbine_oncethrough.tif gridcerf_gas_turbine_pond.tif gridcerf_gas_turbine_recirculating.tif gridcerf_nuclear_gen3_oncethrough.tif gridcerf_nuclear_gen3_pond.tif gridcerf_nuclear_gen3_recirculating.tif gridcerf_refinedliquids_cc_ccs_dry.tif gridcerf_refinedliquids_cc_ccs_oncethrough.tif gridcerf_refinedliquids_cc_ccs_recirculating.tif gridcerf_refinedliquids_cc_no-ccs_dry.tif gridcerf_refinedliquids_cc_no-ccs_oncethrough.tif gridcerf_refinedliquids_cc_no-ccs_recirculating.tif gridcerf_refinedliquids_ct_dry.tif gridcerf_refinedliquids_ct_oncethrough.tif gridcerf_refinedliquids_ct_pond.tif gridcerf_refinedliquids_ct_recirculating.tif gridcerf_solar_csp_centralized_dry-hybrid.tif gridcerf_solar_csp_centralized_recirculating.tif gridcerf_solar_pv_centralized.tif gridcerf_wind_onshore_hubheight080m.tif gridcerf_wind_onshore_hubheight110m.tif gridcerf_wind_onshore_hubheight140m.tif
Reference Data: Contains land mask and other useful boundary data. Also contains additional literature review resource and the layers used to build the compiled suitability.
References:
1. Bureau of Land Management. BLM National Surface Management Agency Area Polygons - National Geospatial Data Asset (NGDA). Landscape Approach Data Portal https://gbp-blm-egis.hub.arcgis.com/datasets/blm-national-sma-surface-management-agency-area-polygons/about (2023).
2. Bureau of Land Management. BLM National NLCS National Monuments, National Conservation Areas and Similar Designations Polygons. U.S.Department of Interior Bureau of Land Management Geospatial Business Plaform https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-natl-nlcs-national-monuments-national-conservation-areas-polygons/about (2023).
3. Hartger, P. NLCS Outstanding Natural Areas. ArcGIS Hub https://hub.arcgis.com/datasets/Wilderness::nlcs-outstanding-natural-areas/about (2017).
4. Bureau of Land Management. BLM National NLCS Wilderness Areas Polygons. U.S.Department of Interior Bureau of Land Management Geospatial Business Plaform https://arcg.is/a01uC (2023).
5. Bureau of Land Management. BLM National NLCS Wilderness Study Areas Polygons. U.S.Department of Interior https://arcg.is/14XPiC (2023).
6. United States Environmental Protection Agency. Mandatory Class 1 Federal Areas Web Service. Mandatory Class 1 Federal Areas Web Service https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BF234E37B-E7CE-4A47-89D6-68399D540576%7D (2015).
7. National Park Service. National Park Service Boundary. National Park Service https://public-nps.opendata.arcgis.com/datasets/nps::nps-boundary-4/about (2023).
8. National Park Service. National Historic Trails. Geospatial Energy Mapper https://gem.anl.gov/tool (2019).
9. National Park Service. National Scenic Trails. Geospatial Energy Mapper https://gem.anl.gov/tool (2019).
10. U.S. Fish and Wildlife Service. USFWS Threatened & Endangered Species Active Critical Habitat Report. ECOS Environmental Conservation Online System https://ecos.fws.gov/ecp/report/table/critical-habitat.html (2023).
11. U.S. Fish and Wildlife. U.S. Fish and Wildlife Special Designation. U.S. Fish and Wildlife https://gis-fws.opendata.arcgis.com/datasets/fws::fws-special-designation/about (2023).
12. U.S. Fish and Wildlife Service. National Wild and Scenic Rivers System. Geospatial Energy Mapper https://data.fs.usda.gov/geodata/edw/edw_resources/shp/S_USA.WildScenicRiver_LN.zip (2014).
13. U.S. Fish and WIldlife Service. USFWS National Realty Tracts. ServCat Fish and Wildlife Service Catalog https://ecos.fws.gov/ServCat/Reference/Profile/154057 (2023).
14. Dewitz, J. & U.S. Geological Survey. National Land Cover Database (NLCD) 2019 Products (ver. 2.0, June 2021). Multi-Resoltuion Land Characteristics Consortium https://www.mrlc.gov/data/nlcd-2019-land-cover-conus (2021).
15. USDA Forest Service. Administrative Forest Boundaries. Download National Datasets https://data.fs.usda.gov/geodata/edw/datasets.php?dsetCategory=boundaries (2015).
16. U.S. Forest Service. National Wilderness Areas. Download National Datasets https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=Wilderness+areas (2023).
17. U.S. Geological Survey. Wilderness Areas in the United States. ScienceBase-Catalog https://www.sciencebase.gov/catalog/item/4fc8f0e4e4b0bffa8ab259e7 (2000).
18. U.S. Geological Survey Gap Analysis Project. Protected Areas Database of the United States (PAD-US) 3.0 (ver. 2.0, March 2023). ScienceBase-Catalog https://doi.org/10.5066/P9Q9LQ4B (2023).
19. Protected Planet. Protected Areas (WDPA). Protected Areas (WDPA) https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA (2023).
20. The Nature Conservancy. The Nature Conservancy lands. The Nature Conservancy (TNC) Lands https://geospatial.tnc.org/datasets/TNC::tnc-lands-north-america/about?layer=0 (2022).
21. Bureau of Indian Affairs. American Indian and Alaskan Native Land Area Representations (LAR). U.S. Department of the Interior Indian Affairs https://biamaps.doi.gov/bogs/datadownload.html (2019).
22. Jarvis, A., Reuter, H. I., Nelson, A. & Guevara, E. Hole-filled SRTM for the globe Version 4. CGIAR Consortium for Spatial Information https://research.utwente.nl/en/publications/hole-filled-srtm-for-the-globe-version-4-data-grid (2008).
23. Bureau of Transportation Statistics. Aviation Facilities. Transportation.gov U.S. Department of Transportation https://geodata.bts.gov/maps/usdot::aviation-facilities (2023).
24. U.S. Department of Transportation. North American Rail Network Nodes. U.S. Department of Transportation https://data-usdot.opendata.arcgis.com/datasets/usdot::north-american-rail-network-nodes/explore?location=34.085743%2C-108.310932%2C3.96 (2023).
25. U.S. Department of Transportation. Navigable Waterway Network Lines. Bureau of Transportation Statistics https://geodata.bts.gov/datasets/usdot::navigable-waterway-network-lines/about (2023).
26. Energy Information Association (EIA). Energy Information Association U.S. Coal Mining Locations. ScienceBase-Catalog https://www.sciencebase.gov/catalog/item/5748a4cbe4b07e28b664dd78 (2017).
27. Environmental Protection Agency. Green Book GIS Download. https://www.epa.gov/green-book/green-book-gis-download (2023).
28. Shumway, A. Data Release for the 2014 National Seismic Hazard Model for the Conterminous U.S. https://doi.org/10.5066/P9P77LGZ (2019).
29. Zoraghein, H. & O’Neill, B. C. U.S. State-level Projections of the Spatial Distribution of Population Consistent with Shared Socioeconomic Pathways. Sustainability 12, (2020).
30. Moore, R. B. et al. User’s guide for the national hydrography dataset plus (NHDPlus) high resolution: U.S. Geological Survey Open-File Report 2019–1096. https://pubs.er.usgs.gov/publication/ofr20191096 (2019).
31. Perez, R. et al. A new operational model for satellite-derived irradiances: description and validation. Solar Energy 73, 307–317 (2002).
32. Draxl, C., Clifton, A., Hodge, B.-M. & McCaa, J. The Wind Integration National Dataset (WIND) Toolkit. Applied Energy 151, 355–366 (2015).
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