GeoVision: Harnessing the Heat Beneath Our Feet - Analysis Inputs and Results

Description

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.

Resources

Name Format Description Link
21 Summary output of ReEDS model run results from the GeoVision Business-as-Usual (BAU) scenario. Includes data tables and graphics of capacity, generation, cost, emissions, transmission, etc. projections from ReEDS model. Data is stored in an .html file for easy viewing. https://gdr.openei.org/files/1179/reeds-results_BAU.html
21 Summary output of ReEDS model run results from the GeoVision Improved Regulatory Timeline (IRT) scenario. Includes data tables and graphics of capacity, generation, cost, emissions, transmission, etc. projections from ReEDS model. Data is stored in an .html file for easy viewing. https://gdr.openei.org/files/1179/reeds-results_IRT.html
21 Summary output of ReEDS model run results from the GeoVision Technology Improvement (TI) scenario. Includes data tables and graphics of capacity, generation, cost, emissions, transmission, etc. projections from ReEDS model. Data is stored in an .html file for easy viewing. https://gdr.openei.org/files/1179/reeds-results_TI.html
53 Supply curve data for GeoVision scenarios used as input for ReEDS model. Also include cost reduction curves describing how costs change in Technology Improvement (TI) scenario with time. Includes supply curves for identified hydrothermal, undiscovered hydrothermal, near-field EGS, and deep EGS geothermal resource type. Data includes site name, resource temperature and capacity, capital and fixed O&M costs, and location (by state and by ReEDS power control region). https://gdr.openei.org/files/1179/GeoVision%20ReEDS%20Geothermal%20Supply%20Curve%20Inputs.xlsx
53 Capacity deployment and generation results from ReEDS model for the BAU, IRT and TI GeoVision scenarios. Results include capacity and generation data by year and ReEDS region for all technologies in the ReEDS model, and aggregated (nationwide) capacity and generation data by year and geothermal resource type in the ReEDS model. https://gdr.openei.org/files/1179/GeoVision%20ReEDS%20model%20Electricity%20Sector%20Results.xlsx
53 Water withdrawal and consumption results from ReEDS model for the BAU, IRT and TI GeoVision scenarios. Results include water withdrawal and consumption by year, cooling technology, and ReEDS region for all technologies in the ReEDS model. https://gdr.openei.org/files/1179/GeoVision%20Electricity%20Sector%20Water%20Impacts%20%282%29.xlsx
53 Air quality (emissions) resultsl for the BAU, IRT and TI GeoVision scenarios. Results include total electric sector emissions by year for SO2, NOx, and PM2.5 for all GeoVision scenarios, and cumulative electric sector emissions benefits by state for the TI scenario relative to the BAU scenario. https://gdr.openei.org/files/1179/GeoVision%20Electricity%20Sector%20Air%20Quality%20Impacts.xlsx
21 Landing page for the GeoVision study. Includes links to the full report and supporting documents and websites. https://www.energy.gov/eere/geothermal/geovision
21 Website with interactive graphics summarizing the results of the GeoVision study. Includes pages with results for Electricity generation, direct use, and geothermal heat pumps. https://apps.openei.org/geovision/
21 Home page for the Regional Energy Deployment System (ReEDS) model, used to model electricity generation capacity deployment under different scenarios in the GeoVision analysis. Includes background, instructions, documentation, etc. on the ReEDS model. https://www.nrel.gov/analysis/reeds/
33 Documentionat for the distributed geothermal market demand model (dGeo), used to model geothermal heat pump and direct use potential and deployment under different scenarios in the GeoVision analysis. https://www.nrel.gov/docs/fy18osti/67388.pdf
21 Shapefile of shallow, low-temperature EGS resources for the United States, and accompanying paper (submitted to GDR 2016) describing the methodology and analysis. These data are part of a very rough estimate created for use in the U.S. Department of Energy Geothermal Technology Office's Vision Study. Describes the shallow EGS resources used to determine direct use (DU) potential via the dGeo model. They are not a robust estimate of low-temperature EGS resources in the U.S, and should be used accordingly. https://gdr.openei.org/submissions/832
21 Compilation of data (spreadsheet and shapefiles) for several low-temperature resource types, including isolated springs and wells, delineated area convection systems, sedimentary basins and coastal plains sedimentary systems. This data is used as resource potential estimates input in the dGeo model to model direct use (DU) geothermal potential in the GeoVision study. For each system, we include estimates of the accessible resource base, mean extractable resource and beneficial heat. Data compiled from USGS and other sources.General locations are provided in the spreadsheet; specific locations are provided in the associated shapefiles. The paper (submitted to GDR 2016) describing the methodology and analysis is also included. https://gdr.openei.org/submissions/842
21 The U.S. Department of Energy Geothermal Vision (GeoVision) Study is currently looking at the potential to increase geothermal deployment in the U.S. and to understand the impact of this increased deployment. This paper reviews 31 performance, cost, and financial parameters as input for numerical simulations describing GDH system deployment in support of the GeoVision effort. The focus is on geothermal district heating (GDH) systems using hydrothermal and Enhanced Geothermal System resources in the U.S.; ground-source heat pumps and heat-to-electricity conversion technology were excluded. https://gdr.openei.org/submissions/920
53 Results of dGeo model runs showing geothermal direct use (DU) economic potential under GeoVision scenarios. https://gdr.openei.org/files/1179/GeoVision%20Direct%20Use%20dGeo%20Model%20Results.xlsx
53 Results of dGeo model runs showing geothermal heat pump (GHP) economic potential, market potential and deployment projections under GeoVision scenarios. https://gdr.openei.org/files/1179/GeoVision%20GHP%20dGeo%20Model%20Results%20%281%29.xlsx

Tags

  • renewable-analysis
  • regional-energy-deployment-system
  • water-use-analysis
  • geovision
  • modeling
  • dgeo-model
  • gtc
  • ders
  • air-quality-impacts
  • reeds-model
  • supply-curve-inputs
  • ghp
  • geothermal-conductivity
  • geographic-information-system
  • gis
  • resource-potential
  • water-impacts
  • systems-analysis
  • future-scenarios
  • electricity-sector
  • ground-source-heat-pump
  • capacity-expansion
  • nrel
  • distributed-geothermal-market-demand-model
  • geothermal
  • energy
  • distributed-energy-resources

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