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Each screening criterion was developed into a separate data layer indicating whether the criterion was met. The layers were combined into a final data set that included only lands that met all the criteria for each technology. Maps of individual criteria are in Appendix C. The criteria listed above were used to identify areas with long-term development potential. A more restrictive definition of resource availability was used in identifying the planning units with the highest near-term development potential. These planning units should not be considered the only areas with significant development potential, however. Task 4—Report on high-potential areas for inclusion in a Renewable Energy Action Plan. This report is the product of this task. To develop recommendations for this report, BLM and NREL performed a comparative analysis. They used the renewable energy GIS maps and geothermal field-based site identifications resulting from Task 3 to conduct the analysis. 5. The Comparative Analysis The GIS maps constructed for Task 3 were used as a starting point to identify the BLM offices with sites having the highest potential for renewable energy development. On March 27 and 28, 2002, NREL technology experts developed the following final technology-specific decision rules. Each rule was used as a last screening criterion to eliminate marginal and less desirable renewable energy sites from the final maps developed under Task 3. CSP: Include all sites with a solar resource of 6 kWh/m2/day or greater and terrain slope less than or equal to 1%. PV: Include all sites with a solar resource of 6 kWh/m2/day or greater. Wind: Include all sites that are in Wind Class 5 or greater and are within the proximity of either a major load center (city) or a major transmission line connecting with a major load center. Biomass: Include all sites with an NDVI of 4 or greater, communities at risk from fire, and proximity to Forest Service lands (less than 100 miles) Geothermal: No final decision rule is required; the highest-potential sites were identified using an alternative process. After the final decision rules were applied to technology-specific maps, the land area of the remaining renewable energy sites was summed on a planning unit basis. This summed list was then rank-ordered on a technology-by-technology basis. The top 25 offices in the rank-ordered list were identified by the BLM/NREL team as planning units having the highest potential. Planning units and field offices for each technology are presented in descending order of total land area for CSP, PV, wind, and biomass in Tables 1a-1d. Table 1e lists the top-pick sites by state, along with the BLM planning units and field offices where they are located. 18PDF Image | Assessing The Potential For Renewable Energy On Public Lands
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