Filters: Tags: Renewable energy (X) > partyWithName: Conservation Biology Institute (X)
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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...
Lands, including National System of Public Lands, State, and private lands, identified by BLM that are or will be considered for inclusion in a NEPA document to determine if lands open to geothermal leasing should be leased under 43 CFR Part 3200. These lands may include pending geothermal lease applications which were filed with BLM before the enactment of the Energy Policy Act of 2005 (Public Law 109-58). The lands may also include nominations, under 43 CFR 3203.10, by industry for lands requested for competitive geothermal leasing.
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...
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...
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...
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.
Tags: california,
renewable energy
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...
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...
This study was conducted to estimate the potential for producing hydrogen from key renewable resources (onshore wind, solar photovoltaic, and biomass) by county in the United States and to create maps that allow the reader to easily visualize the results. To accomplish this objective, the authors analyzed renewable resource data both statistically and graphically utilizing a state-of-the-art Geographic Information System (GIS), a computer-based information system used to create and visualize geographic information. Land-use and environmental exclusions were applied to represent the most viable resources across the country. While wind, solar, and biomass are considered major renewable resources, other renewable energy...
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