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    • Renewable Energy Potential Model: Priority Geothermal Leasing Areas ReEDs Results

    Metadata Updated: February 14, 2025

    This dataset contains the results of a study conducted by the National Renewable Energy Laboratory (NREL) to identify potential future priority geothermal leasing areas on Bureau of Land Management (BLM) and United States Forest Service (USFS) lands. The analysis uses the Regional Energy Deployment System (ReEDS) model to evaluate geothermal resource potential under different scenarios of resource depth and technology combinations through the year 2050. The study considers geothermal resource potential, natural resource conflicts, and transmission access to categorize areas into near, mid, and far deployment priorities.

    The dataset includes outputs from the ReEDS model, such as geothermal capacity, generation, system costs, and emissions under various economic and technical scenarios. Favorability site data with geographic coordinates and site-specific attributes (e.g., resource favorability, land type) are also provided. Supporting resources include a technical report detailing methodologies and assumptions, along with a link to the ReEDS model GitHub repository, which requires GAMS and Python software for execution.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: Creative Commons Attribution

    Downloads & Resources

    Dates

    Metadata Created Date January 23, 2025
    Metadata Updated Date February 14, 2025

    Metadata Source

    Harvested from OpenEI data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 23, 2025
    Metadata Updated Date February 14, 2025
    Publisher National Renewable Energy Laboratory
    Maintainer
    Doi 10.15121/2516751
    Identifier https://data.openei.org/submissions/8320
    Data First Published 2024-05-20T06:00:00Z
    Data Last Modified 2025-02-14T21:03:43Z
    Public Access Level public
    Bureau Code 019:20
    Metadata Context https://openei.org/data.json
    Metadata Catalog ID https://openei.org/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Data Quality True
    Harvest Object Id c3401ecb-fe0f-4244-ad76-ff8d063829bb
    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://gdr.openei.org/submissions/1604
    License https://creativecommons.org/licenses/by/4.0/
    Old Spatial {"type":"Polygon","coordinates":-125.4514,24.5873,-66.5318,24.5873,-66.5318,49.2637,-125.4514,49.2637,-125.4514,24.5873}
    Program Code 019:006
    Projectlead Sean Porse
    Projectnumber FY24 AOP 5.3.1.4
    Projecttitle Geothermal Leasing Analysis
    Source Datajson Identifier True
    Source Hash d41d4b711bc586169f7294dd81482c94635f3dacf231266260bb4cd6b3e6e0d7
    Source Schema Version 1.1
    Spatial {"type":"Polygon","coordinates":-125.4514,24.5873,-66.5318,24.5873,-66.5318,49.2637,-125.4514,49.2637,-125.4514,24.5873}

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