High Resolution Siting Suitability of Various Power Plant Technologies

Mongird, Kendall; Vernon, Chris; Thurber, Travis; Rice, Jennie

doi:10.57931/2560794

Title: High Resolution Siting Suitability of Various Power Plant Technologies

Dataset
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Abstract

Energy sector planning models 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. These animations demonstrate the aggregate siting suitability of various power plant technology configurations, considering technology-specific factors that can prohibit development. The data presented is from the GRIDCERF (Geospatial Raster Input Data for Capacity Expansion Regional Feasibility) data package. GRIDCERF is a harmonized, open-source geospatial product that can be used to evaluate siting suitability for renewable and non-renewable power plants in the conterminous United States. The animations presented here demonstrate a curated selection of the full suite of technology configurations available. GRIDCERF provides the necessary inputs for models that simulate power plant siting for regional capacity expansion planning such as the Capacity Expansion Regional Feasibility (CERF) model.

Authors:

Mongird, Kendall; Vernon, Chris; Thurber, Travis; Rice, Jennie

Pacific Northwest National Laboratory

Publication Date:: Mon Apr 28 04:00:00 UTC 2025

Research Org.:: MultiSector Dynamics - Living, Intuitive, Value-adding, Environment

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

OSTI Identifier:: 2560794

DOI:: https://doi.org/10.57931/2560794

Citation Formats


                    Mongird, Kendall, Vernon, Chris, Thurber, Travis, and Rice, Jennie. High Resolution Siting Suitability of Various Power Plant Technologies.  United States: N. p., 2025. 
        Web.  doi:10.57931/2560794.

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                    Mongird, Kendall, Vernon, Chris, Thurber, Travis, & Rice, Jennie. High Resolution Siting Suitability of Various Power Plant Technologies.  United States.  doi:https://doi.org/10.57931/2560794

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                    Mongird, Kendall, Vernon, Chris, Thurber, Travis, and Rice, Jennie. 2025.  
"High Resolution Siting Suitability of Various Power Plant Technologies".  United States.  doi:https://doi.org/10.57931/2560794.  https://www.osti.gov/servlets/purl/2560794. Pub date:Mon Apr 28 04:00:00 UTC 2025

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@article{osti_2560794,

  title        = {High Resolution Siting Suitability of Various Power Plant Technologies},

  author       = {Mongird, Kendall and Vernon, Chris and Thurber, Travis and Rice, Jennie},

  abstractNote = {Energy sector planning models 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. These animations demonstrate the aggregate siting suitability of various power plant technology configurations, considering technology-specific factors that can prohibit development. The data presented is from the GRIDCERF (Geospatial Raster Input Data for Capacity Expansion Regional Feasibility) data package. GRIDCERF is a harmonized, open-source geospatial product that can be used to evaluate siting suitability for renewable and non-renewable power plants in the conterminous United States. The animations presented here demonstrate a curated selection of the full suite of technology configurations available. GRIDCERF provides the necessary inputs for models that simulate power plant siting for regional capacity expansion planning such as the Capacity Expansion Regional Feasibility (CERF) model.},

  doi          = {10.57931/2560794},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Apr 28 04:00:00 UTC 2025},

  month        = {Mon Apr 28 04:00:00 UTC 2025}

}

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DOI: https://doi.org/10.57931/2560794

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