Renewable Energy Potential Model: Geothermal Supply Curves

Trainor-Guitton, Whitney; Thomson, Sophie-Min; Pinchuk, Pavlo; Maclauren, Galen; Buster, Grant

doi:10.15121/2008490

Title: Renewable Energy Potential Model: Geothermal Supply Curves

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Abstract

The Renewable Energy Potential (reV) model is a geospatial platform for estimating technical potential and developing renewable energy supply curves, initially developed for wind and solar technologies. The model evaluates deployment constraints, considering land use, environmental, and cultural factors, and estimates the distance to existing grid features to connect future plants (Maclaurin et al., 2021). A pressing deficiency in the reV model, however, is representation of geothermal electricity generation technologies. To address this gap, we developed a novel geothermal generation module for reV that allows for representation and analysis at the same level of detail as other renewable technologies. The included paper describes our process for evaluating data sources for the modeling, and presents five preliminary reV geothermal results. More specifically, we present two sets of resource data that represent upper and lower bounds for geothermal potential. We then present several sensitivity runs using the upper bound resource data; the results are encouraging that levelized cost of electricity (LCOE) can be reduced by optimizing the location and estimated capacity of the spatially diverse geothermal resource while considering the distance to existing grid infrastructure. Our preliminary supply curves and levelized cost of electricity (LCOE) results provided here should be considered withmore »« less

Authors:

; Thomson, Sophie-Min;

;

; Buster, Grant

National Renewable Energy Laboratory

Publication Date:: Mon Aug 21 04:00:00 UTC 2023

Other Number(s):: 1549

Research Org.:: DOE Geothermal Data Repository; National Renewable Energy Laboratory

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)

Collaborations:: National Renewable Energy Laboratory

Subject:: 15 GEOTHERMAL ENERGY; EGS; SMU temperatures; capital costs; energy; exclusions; feasibility; geospatial; geothermal; geothermal location; grid infrastructure; hydrothermal; levelized cost of electricity; model; operating costs; reV; supply curve

OSTI Identifier:: 2008490

DOI:: https://doi.org/10.15121/2008490

Citation Formats


                    Trainor-Guitton, Whitney, Thomson, Sophie-Min, Pinchuk, Pavlo, Maclauren, Galen, and Buster, Grant. Renewable Energy Potential Model: Geothermal Supply Curves.  United States: N. p., 2023. 
        Web.  doi:10.15121/2008490.

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                    Trainor-Guitton, Whitney, Thomson, Sophie-Min, Pinchuk, Pavlo, Maclauren, Galen, & Buster, Grant. Renewable Energy Potential Model: Geothermal Supply Curves.  United States.  doi:https://doi.org/10.15121/2008490

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                    Trainor-Guitton, Whitney, Thomson, Sophie-Min, Pinchuk, Pavlo, Maclauren, Galen, and Buster, Grant. 2023.  
"Renewable Energy Potential Model: Geothermal Supply Curves".  United States.  doi:https://doi.org/10.15121/2008490.  https://www.osti.gov/servlets/purl/2008490. Pub date:Mon Aug 21 04:00:00 UTC 2023

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@article{osti_2008490,

  title        = {Renewable Energy Potential Model: Geothermal Supply Curves},

  author       = {Trainor-Guitton, Whitney and Thomson, Sophie-Min and Pinchuk, Pavlo and Maclauren, Galen and Buster, Grant},

  abstractNote = {The Renewable Energy Potential (reV) model is a geospatial platform for estimating technical potential and developing renewable energy supply curves, initially developed for wind and solar technologies. The model evaluates deployment constraints, considering land use, environmental, and cultural factors, and estimates the distance to existing grid features to connect future plants (Maclaurin et al., 2021). A pressing deficiency in the reV model, however, is representation of geothermal electricity generation technologies. To address this gap, we developed a novel geothermal generation module for reV that allows for representation and analysis at the same level of detail as other renewable technologies. The included paper describes our process for evaluating data sources for the modeling, and presents five preliminary reV geothermal results. More specifically, we present two sets of resource data that represent upper and lower bounds for geothermal potential. We then present several sensitivity runs using the upper bound resource data; the results are encouraging that levelized cost of electricity (LCOE) can be reduced by optimizing the location and estimated capacity of the spatially diverse geothermal resource while considering the distance to existing grid infrastructure. Our preliminary supply curves and levelized cost of electricity (LCOE) results provided here should be considered with care due to the high uncertainty in geothermal resource potential data. We present median LCOE values for the conterminous U.S. for three scenarios: two hydrothermal (3.5km depth, USGS heat flow & SMU temperatures respectively) and one EGS (4.5km depth, SMU temperatures). The capital and operating costs for each respective technology are modeled. We also compare results using two different resource data sources.},

  doi          = {10.15121/2008490},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Aug 21 04:00:00 UTC 2023},

  month        = {Mon Aug 21 04:00:00 UTC 2023}

}

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DOI: https://doi.org/10.15121/2008490

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