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GRIDCERF: Geospatial Raster Input Datasets for Capacity Expansion Regional Feasibility

Authors: Kristian Nelson; Chris Vernon; Jennie Rice;

GRIDCERF: Geospatial Raster Input Datasets for Capacity Expansion Regional Feasibility

Abstract

{"references": ["The Nature Conservancy. 2016.TNC Land and Waters. (https://databasin.org/datasets/11b87a74019c492792336dff41011aca/).", "Hartger, Phil. 2017. NLCS Outstanding Natural Areas. (https://hub.arcgis.com/datasets/Wilderness::nlcs-outstanding-natural-areas/about).", "BLM. 2021. BLM National NLCS Natlional Monuments, National Conservation Areas, Similar Designations. (https://landscape.blm.gov/geoportal/catalog/search/resource/details.page?uuid=%7B2868D070-CC69-4EF0-A9B5-61C06180182C%7D).", "Protected Planet. 2021. World Database of Protected Areas. (https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA).", "USGS. 2018. Protected Areas Database - United States. (https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/science/pad-us-data-download?qt-science_center_objects=0#qt-science_center_objects).", "EPA. 2021. Green Book GIS Download. (https://www.epa.gov/green-book/green-book-gis-download)", "USGS. 2021. United States Wind Turbine Database. (https://eerscmap.usgs.gov/uswtdb/data/).", "EIA. 2017. Energy Information Association U.S. Coal Mining Locations. (https://www.sciencebase.gov/catalog/item/5748a4cbe4b07e28b664dd78).", "USDOT. 2021. North American Rail Nodes. (https://data-usdot.opendata.arcgis.com/datasets/ddeb8adbf2de409db56c739d1fdd6969_0/explore?location=39.801950%2C-108.315150%2C3.71)", "HIFLD. 2017. Navigable Waterway Network Lines. (https://hifld-geoplatform.opendata.arcgis.com/datasets/navigable-waterway-network-lines-1/explore?location=5.987473%2C-17.499950%2C2.08).", "BLM. 2020. BLM National Surface Management Agency Area Polygons - National Geospatial Data Asset. (https://landscape.blm.gov/geoportal/catalog/search/resource/details.page?uuid=%7B2A8B8906-7711-4AF7-9510-C6C7FD991177%7D).", "USFS. 2015. National Wilderness Areas. (https://data.fs.usda.gov/geodata/edw/datasets.php?dsetCategory=boundaries).", "USFS. 2021. Forest Administrative Boundaries. (https://data.fs.usda.gov/geodata/edw/datasets.php?dsetCategory=boundaries).", "USFWS, NWRS, Division of Realty. 2019. FWS Cadastral Geodatabase External Facing - December 2019. (https://ecos.fws.gov/ServCat/Reference/Profile/114860).", "USFWS, NWRS, Division of Realty. 2019. FWS Interest. (https://ecos.fws.gov/ServCat/Reference/Profile/114868).", "FWS. 2020. USFWS Threatened & Endangered Species Active Critical Habitat Report. (https://ecos.fws.gov/ecp/report/table/critical-habitat.html).", "USFS. 2021. National Wild and Scenic River Segments. (https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=wild+and+scenic).", "EPA. 2015. Mandatory Class 1 Federal Areas Download Package. (https://catalog.data.gov/dataset/mandatory-class-1-federal-areas-download-package).", "NPS - Land Resources Division. 2020. Administrative Boundaries of National Park System Units 3/31/2021 - National Geospatial Data Asset (NGDA) NPS National Parks Dataset. (https://irma.nps.gov/DataStore/Reference/Profile/2225713).", "USGS. 2021. Wilderness Areas in the United States. (https://www.sciencebase.gov/catalog/item/4fc8f0e4e4b0bffa8ab259e7).", "USFS. 2021. National Forest System Land Units. (https://data.fs.usda.gov/geodata/edw/datasets.php?dsetCategory=boundaries).", "NPS. 2019. NPS Boundary. (https://public-nps.opendata.arcgis.com/datasets/nps::nps-boundary-1/about).", "FWS. 2021. FWS Boundaries. (https://ecos.fws.gov/ServCat/Reference/Profile/131757).", "BLM. 2021. BLM National NLCS Wilderness Areas and Wilderness Study Areas. (https://catalog.data.gov/dataset/blm-national-nlcs-wilderness-areas-and-wilderness-study-areas).", "NPS. 2019. National Historic Trails. EZMT. (https://ezmt.anl.gov/mapping/viewer).", "NPS. 2019. National Scenic Trails. EZMT. (https://ezmt.anl.gov/mapping/viewer).", "FAA. 2018. Airports. EZMT. (https://ezmt.anl.gov/mapping/viewer).", "MRLC. 2019. National Land Cover Dataset. (https://www.mrlc.gov/data).", "Petersen, M. D., Shumway, A. M., Powers, P. M., Mueller, C. S., Moschetti, M. P., Frankel, A. D., \u2026 Zeng, Y. 2019. The 2018 update of the US National Seismic Hazard Model: Overview of model and implications. Earthquake Spectra. (https://www.sciencebase.gov/catalog/item/5cbf47c4e4b0c3b00664fdef).", "Vernon, Chris & Zuljevic, Nino & Rice, Jennie & Seiple, Timothy & Kintner-Meyer, Michael & Voisin, Nathalie & Kraucunas, Ian & Chunlian, Jin & Olson, Jarrod & Schmidt, Laurel & Morris, Scott & Patel, Pralit. (2018). CERF \u2013 A Geospatial Model for Assessing Future Energy Production Technology Expansion Feasibility. Journal of Open Research Software. 6. 10.5334/jors.227."]}

Geospatial Raster Input Datasets for Capacity Expansion Regional Feasibility (GRIDCERF) is a data package containing all the necessary input layers for the Capacity Expansion Regional Feasibility (CERF) model. The CERF model uses these layers to find feasible power plant siting locations at a 1 kilometer scale across the conterminous United States for renewable and non-renewable electricity production technologies. This package encompasses a wide variety of geospatial layers pertaining to restrictions, regulations, and challenges that come with siting new electricity production facilities.

This research was supported by the US Department of Energy, Office of Science, as part of research in the MultiSector Dynamics, Earth and Environmental System Modeling Program.

Related Organizations
Keywords

Energy, Multisector Dynamics, Geospatial, Siting, Suitability, Power Plants

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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