Renewable Energy Potential Model: Priority Geothermal Leasing Areas ReEDs Results
- National Renewable Energy Laboratory
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.
- Research Organization:
- DOE Geothermal Data Repository; National Renewable Energy Laboratory
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
- Contributing Organization:
- National Renewable Energy Laboratory
- OSTI ID:
- 2516751
- Report Number(s):
- 1604
- Availability:
- GDRHelp@ee.doe.gov
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
15 GEOTHERMAL ENERGY
BLM
GAMS
GitHub
Python
ReEDs
Renewable Energy Potential Model
USFS
emissions
energy
feasibility
generation
geothermal
geothermal capacity
geothermal leasing areas
model results
modeling
natural resource conflicts
priority leasing
processed data
resource potential
system cost
technical report
technology combination
transmission
BLM
GAMS
GitHub
Python
ReEDs
Renewable Energy Potential Model
USFS
emissions
energy
feasibility
generation
geothermal
geothermal capacity
geothermal leasing areas
model results
modeling
natural resource conflicts
priority leasing
processed data
resource potential
system cost
technical report
technology combination
transmission