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Description and data downloaded from DRECP Website: http://www.drecp.org/meetings/2012-07-25-26_workshop/background/Department_of_Defense_Materials/This information and data is provided in support of the Desert Renewable Energy Conservation Plan. Attachment 1 provides a Department of Defense (DoD) comprehensive matrix detailing potential military operational constraints by Development Focus Area. Attachment 2 provides associated conflict maps by renewable energy technology. Regarding the color coding:·        The red areas represent locations where there is a high likelihood of unacceptable risk to national security, and then technology identified might impact military operations, testing and training.Â...
Direct Normal (DNI) solar radiation (kWh/m2/day) for the Southwestern USA, showing the most suitable areas for large-scale Concentrated Solar Power (CSP) development. Data was filtered to exclude areas off-limits to development, lands with slopes >5%, and areas with <5 kWh/m2/day solar power prospects. More information can be found at http://www.nrel.gov/csp/modeling_analysis.html
Description and data downloaded from DRECP Website: http://www.drecp.org/meetings/2012-07-25-26_workshop/background/Department_of_Defense_Materials/This information and data is provided in support of the Desert Renewable Energy Conservation Plan. Attachment 1 provides a Department of Defense (DoD) comprehensive matrix detailing potential military operational constraints by Development Focus Area. Attachment 2 provides associated conflict maps by renewable energy technology. Regarding the color coding:·        The red areas represent locations where there is a high likelihood of unacceptable risk to national security, and then technology identified might impact military operations, testing and training.Â...
Proposed and existing solar and wind project site data which was constructed in GIS at the California State BLM Office, using hardcopy legal information and/or maps obtained from the various field offices in California. The hardcopy information to backup the legal boundaries shown in GIS are stored at the California BLM State Office.
Solar, coal and gas power plant footprints within the DRECP 12km buffer study area. This dataset was created for the purpose of terrestrial intactness modeling. The polygons in this dataset represent the physical footprint of solar, coal, and gas power plants within the DRECP 12km buffer study area. Polygons were delineated with the intent purpose of encompassing infrastructure (e.g., buildings, solar panels) at each power plant facility as well as areas in the immediate vicinity which appeared to be degraded from human activities. This dataset was digitized in ArcMap 10.0 using "Bing Maps aerial imagery" provided by ESRI’s Basemap Service on 2/18/2013. Power plant locations were determined using U.S. Environmental...
Description and data downloaded from DRECP Website: http://www.drecp.org/meetings/2012-07-25-26_workshop/background/Department_of_Defense_Materials/This information and data is provided in support of the Desert Renewable Energy Conservation Plan. Attachment 1 provides a Department of Defense (DoD) comprehensive matrix detailing potential military operational constraints by Development Focus Area. Attachment 2 provides associated conflict maps by renewable energy technology. Regarding the color coding:·        The red areas represent locations where there is a high likelihood of unacceptable risk to national security, and then technology identified might impact military operations, testing and training.Â...
Monthly and annual average global horizontal irradiance (kWh/m2/day) for California. Downloaded from http://www.nrel.gov/gis/solar.html on January 3, 2014. This data provides monthly average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size.This data was developed using the State University of New York/Albany satellite radiation model. This model was developed by Dr. Richard Perez and collaborators at the National Renewable Energy Laboratory and other universities for the U.S. Department of Energy. Specific information about this model can be found in Perez, et al. (2002). This model uses hourly radiance images from...
This dataset depicts renewable solar resources identified by the Utah Renewable Energy Zone (UREZ) task force.
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