GeoVision: Harnessing the Heat Beneath Our Feet - Analysis Inputs and Results
Data e Risorse
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ReEDS Model Output Scenario Business-as-Usual.htmlHTML
Summary output of ReEDS model run results from the GeoVision Business-as-...
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ReEDS Model Output Scenario Improved...HTML
Summary output of ReEDS model run results from the GeoVision Improved...
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ReEDS Model Output Scenario Technology Improvement.htmlHTML
Summary output of ReEDS model run results from the GeoVision Technology...
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GeoVision ReEDS Geothermal Supply Curve Inputs.xlsxXLS
Supply curve data for GeoVision scenarios used as input for ReEDS model. Also...
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GeoVision ReEDS model Electricity Sector Results.xlsxXLS
Capacity deployment and generation results from ReEDS model for the BAU, IRT...
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GeoVision Electricity Sector Water Impacts.xlsxXLS
Water withdrawal and consumption results from ReEDS model for the BAU, IRT...
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GeoVision Electricity Sector Air Quality Impacts.xlsxXLS
Air quality (emissions) resultsl for the BAU, IRT and TI GeoVision scenarios....
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GeoVision Landing PageHTML
Landing page for the GeoVision study. Includes links to the full report and...
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GeoVision Scenario ViewerHTML
Website with interactive graphics summarizing the results of the GeoVision...
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Regional Energy Deployment System ReEDS Model Home PageHTML
Home page for the Regional Energy Deployment System (ReEDS) model, used to...
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Distributed Geothermal Market Demand Model...PDF
Documentionat for the distributed geothermal market demand model (dGeo), used...
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US Low-Temperature EGS Resource Potential EstimateHTML
Shapefile of shallow, low-temperature EGS resources for the United States,...
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Low-Temperature Hydrothermal Resource...HTML
Compilation of data (spreadsheet and shapefiles) for several low-temperature...
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Direct Use cost and performance assumptions...HTML
The U.S. Department of Energy Geothermal Vision (GeoVision) Study is...
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GeoVision Direct Use dGeo Model Results.xlsxXLS
Results of dGeo model runs showing geothermal direct use (DU) economic...
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GeoVision GHP dGeo Model Results.xlsxXLS
Results of dGeo model runs showing geothermal heat pump (GHP) economic...
| Campo | Valore |
|---|---|
| DOI | 10.15121/1572361 |
| accessLevel | public |
| bureauCode | {019:20} |
| catalog_@context | https://openei.org/data.json |
| catalog_@id | https://openei.org/data.json |
| catalog_conformsTo | https://project-open-data.cio.gov/v1.1/schema |
| catalog_describedBy | https://project-open-data.cio.gov/v1.1/schema/catalog.json |
| dataQuality | true |
| identifier | https://data.openei.org/submissions/3821 |
| issued | 2019-09-30T06:00:00Z |
| landingPage | https://gdr.openei.org/submissions/1179 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2021-07-08T21:10:23Z |
| 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]]]} |
| programCode | {019:006} |
| projectLead | Eric Hass |
| projectNumber | FY19 AOP 4683 |
| projectTitle | Geothermal Vision Study |
| publisher | National Renewable Energy Laboratory |
| resource-type | Dataset |
| source_datajson_identifier | true |
| source_hash | 3aeb0c5ec8c1676b56d2c1e66f56f54c304c5a29 |
| 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]]]} |
| Gruppi |
|
| Tag |
|
| isopen | True |
| license_id | cc-by |
| license_title | Creative Commons Attribution |
| license_url | http://www.opendefinition.org/licenses/cc-by |
| maintainer | Chad Augustine |
| maintainer_email | chad.augustine@nrel.gov |
| metadata_created | 2025-11-20T15:08:13.413137 |
| metadata_modified | 2025-11-20T15:08:13.413141 |
| notes | This submission includes input and results data from analysis done as part of the Geothermal Technology Office's Geothermal Vision Study (GeoVision). The submission includes data for both analysis of the electricity sector and the heating and cooling sector. For the electricity sector, the submission includes geothermal resource potential and development cost inputs for the ReEDS model and ReEDS model results of projected installed capacity and generation of geothermal and other technologies under the GeoVision scenarios. It also includes results from environmental and social impacts analysis. For the cooling sector, the submission includes geothermal resource potential and development cost inputs for the dGeo model and dGeo model results of economic, market, and deployment potential. |
| num_resources | 16 |
| num_tags | 35 |
| title | GeoVision: Harnessing the Heat Beneath Our Feet - Analysis Inputs and Results |