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Equitable Energy Investment Prioritization Data Set

This data set compiles metrics related to energy justice, environmental justice, and renewable energy (RE) deployment potential. The metrics, including energy burden, sociodemographic characteristics, environmental hazard exposure, and the technical generation potential and leveli...

Day and RossNational Renewable Energy Laboratory

Oct 15, 2021
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Socioeconomic Data for the Permian Basin

This dataset was compiled to support socioeconomic analyses of counties in the Permian Basin in Texas and New Mexico for the Permian Energy Development Lab (PEDL). The metrics in the dataset are organized into four categories: Socioeconomics, Health & Wellbeing, Jobs & Wor...

RossNational Renewable Energy Laboratory

May 16, 2024
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Ridgelines: Department of Interior Definition

This dataset represents ridgelines as defined by the Department of Interior (DOI): "Areas within 660 feet of the top of the ridgeline, where a ridgeline has at least 150 feet of vertical elevation gain with a minimum average slope of 10 percent between the ridgeline and the base."...

Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
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United States County-Level Industrial Energy Use

Estimated industrial manufacturing agriculture construction and mining energy estimated by North American Industrial Classification System NAICS code county and fuel type for 2014. Additional disaggregation by end use e.g. machine drive process heating facility lighting is provide...

McMillan and NarwadeNational Renewable Energy Laboratory

Sep 27, 2018
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Block Scale Rooftop Solar Technical Potential for the City of Orlando

The html maps are provided as supplementary information for the publication titled Parcel Scale Assessment of Rooftop Solar Technical Potential (NREL/PR-7A40-80780). The maps contain information on rooftop solar technical potential at the block scale for the city of Orlando in Flo...

Prasanna, . et al National Renewable Energy Laboratory

Nov 24, 2021
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ARPA-E Grid Optimization (GO) Competition Challenge 1

The ARPA-E Grid Optimization (GO) Competition Challenge 1, from 2018 to 2019, focused on the basic Security Constrained AC Optimal Power Flow problem (SCOPF) for a single time period. The Challenge utilized sets of unique datasets generated by the ARPA-E GRID DATA program. Each da...

Elbert, S. et al Pacific Northwest National Laboratory

Aug 05, 2024
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