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.
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
Keywords
geothermal, energy, ReEDsDOE Project Details
Project Name Geothermal Leasing Analysis
Project Lead Sean Porse
Project Number FY24 AOP 5.3.1.4