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With BLM’s guidance, NREL contacted—and in five cases, personally visited—BLM staff responsible for geothermal programs in seven BLM western states: California, Idaho, Nevada, New Mexico, Oregon, Utah and Washington. These states are known for their comparatively high level of geothermal resources and activity. Visits were completed in California, Nevada, New Mexico, and Oregon/Washington between February 15, 2002, and April 5, 2002. NREL asked the lead geothermal staff from each BLM state office to identify the best geothermal sites for near-term geothermal development within each of their states, based on their expert opinion. BLM geothermal staff have the best experience in determining sites because they are responsible for identifying and classifying the known geothermal resource areas (or KGRAs) 2 and for managing the geothermal leasing program within their states. The staff also provided, in digital form when possible, the most recent data on the classification of KGRAs and on BLM leasing activity within the seven states. The sites the BLM staff identified were termed the top-pick sites for each state, and resulted in 9 top picks for California, 10 for Nevada, 3 for New Mexico, 7 for Oregon, 3 for Utah, and 3 for Washington. Most, but not all, of the top-pick sites were KGRAs. These locations were then compared with the BLM lease data in GIS format, the KGRA data in GIS format, and the SMU GIS data to check their validity. The top-pick locations correlated well with all of the technical GIS data sets. On March 17, 2002, staff from NREL and the Idaho National Engineering and Environmental Laboratory met at NREL to review the method and results of the analysis. They found that the analysis met technical criteria and that it was straightforward and sensible given the limited time available. They also found that the top-pick sites identified by BLM state office staff were likely to fall within no more than 20 BLM planning units within the western United States. Therefore, it was not necessary to apply other screening criteria to reduce the number of BLM planning units with geothermal sites identified as having the best potential for near-term development. TASK 3—Process data identifying broad geographical areas as high-, medium-, and low- or no potential for renewable energy development. This task ultimately focused on processing GIS data to identify high-potential areas for renewable energy development. A Geographical Information System, or GIS, is a computer- based system used to manipulate, manage, and analyze multidisciplinary geographic and related attribute data. All the information in a GIS is linked to a spatial reference system used to store and access the data. GIS data layers can be recombined, manipulated, and analyzed with other layers of information to identify relationships between features, within a common layer or across layers. This analysis was conducted on a regional scale, and the results are suitable for use at the planning-unit level. On-site measurement and analysis are recommended before the development of any facilities, but this analysis should be useful in refining the prospecting process of site identification. 2 “KGRA” means an area in which the geology, nearby discoveries, competitive interests, or other indicia would, in the opinion of the Secretary of Interior through BLM, engender a belief that prospects for extraction of geothermal steam or associated geothermal resources are good enough to warrant expenditures of money for that purpose. 11PDF Image | Assessing The Potential For Renewable Energy On Public Lands
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