Related Datasets

Renewable Energy Potential Model: Priority Leasing ReEDs results

Awaiting curation License

The data identifies potential future priority geothermal leasing areas (i.e., near, mid, and far priorities) based on available data for geothermal resource potential, natural resource conflicts, and transmission access using NREL's ReEDs model (Regional Energy Deployment System)

Citation Formats

National Renewable Energy Laboratory. (2024). Renewable Energy Potential Model: Priority Leasing ReEDs results [data set].  Retrieved from https://gdr.openei.org/submissions/1604.

Export Citation to RIS

Smith, Faith. Renewable Energy Potential Model: Priority Leasing ReEDs results. United States: N.p., 20 May, 2024. Web. https://gdr.openei.org/submissions/1604.

Smith, Faith. Renewable Energy Potential Model: Priority Leasing ReEDs results. United States. https://gdr.openei.org/submissions/1604

Smith, Faith. 2024. "Renewable Energy Potential Model: Priority Leasing ReEDs results". United States.  https://gdr.openei.org/submissions/1604.

@div{oedi_1604, title = {Renewable Energy Potential Model: Priority Leasing ReEDs results}, author = {Smith, Faith.}, abstractNote = {The data identifies potential future priority geothermal leasing areas (i.e., near, mid, and far priorities) based on available data for geothermal resource potential, natural resource conflicts, and transmission access using NREL's ReEDs model (Regional Energy Deployment System)}, doi = {}, url = {https://gdr.openei.org/submissions/1604}, journal = {}, number = , volume = , place = {United States}, year = {2024}, month = {05}}

Details

Data from May 20, 2024

Last updated May 29, 2024

Submitted May 29, 2024

Organization

National Renewable Energy Laboratory

Contact

Sophie-Min Thomson

Authors

Faith Smith

National Renewable Energy Laboratory

Keywords

geothermal, energy, ReEDs

DOE Project Details

Project Name Geothermal Leasing Analysis

Project Lead Sean Porse

Project Number FY24 AOP 5.3.1.4