Harmonized geospatial data to support infrastructure siting feasibility planning for energy system transitions

Vernon, Chris R.; Mongird, Kendall; Nelson, Kristian D.; Rice, Jennie S.

doi:10.1038/s41597-023-02694-y

Harmonized geospatial data to support infrastructure siting feasibility planning for energy system transitions

Journal Article · Wed Nov 08 23:00:00 EST 2023 · Scientific Data (Online)

DOI:https://doi.org/10.1038/s41597-023-02694-y· OSTI ID:2337532

; ; Nelson, Kristian D.;

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 264 suitability layers for use with 56 power plant technologies in a harmonized format that can be easily ingested by geospatially-enabled modeling software allowing for customization to robustly address science objectives when evaluating varying future conditions.

View Accepted Manuscript (DOE)

Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth And Environmental Systems Science (EESS)

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 2337532

Alternate ID(s):: OSTI ID: 2564398

Journal Information:: Scientific Data (Online), Journal Name: Scientific Data (Online) Journal Issue: 1 Vol. 10; ISSN 2052-4463

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

References (24)

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