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Assessing the Potential for Renewable Energy on National Forest System Lands

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Assessing the Potential for Renewable Energy on National Forest System Lands ( assessing-potential-renewable-energy-national-forest-system- )

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performed. These assessments have a surface resolution that varies from 1 km by 1 km to 200 m by 200 m. Additional states assessments are underway by NREL, and several additional states will be complete by the time this report is published. Most of the updated assessments were produced using the Mesomap system and historical weather data in a collaborative effort between NREL and AWS TrueWind Solutions and were validated with available surface data by NREL and wind-energy meteorological consultants. The Illinois, North Dakota, and South Dakota wind-resource assessments were produced and validated solely by NREL. The assessment accuracy for both types of updated wind resource data is generally within 20% for wind power density for 80% of the areas. A significant difference between these two types of data is that the AWS assessments account for the effects of surface roughness, whereas the NREL assessments do not. In areas of high surface roughness (i.e., forest), the wind resource may be 1-2 power classes lower than shown. For more information, see http://www.windpoweringamerica.gov/. For the remaining states, data from the Wind Energy Resource Atlas of the United States was used. This atlas was produced in 1987 by staff at the Pacific Northwest National Laboratory. The resolution of the gridded contiguous United States wind resource data is 1/4 degree of latitude by 1/3 degree of longitude, roughly 25 km by 25 km. Each grid cell was assigned a wind-power class, which applies only to sites within the grid cell that are well exposed to the wind. Depending on the terrain type within the grid cell, the portion of the grid cell that is exposed could vary from as little as 5% (ridge crests) to 95% (flat plains). The values were assigned by integrating several subjective factors: quantitative wind data; qualitative indicators of wind speed or power; the characteristics of exposed sites in various terrains; and familiarity with the meteorology, climatology, and topography of the region. As a result, the degree of certainty with which the wind power class can be specified depended on the abundance and quality of wind data, the complexity of the terrain, and the geographical variability of the resource. For more information, see http://rredc.nrel.gov/wind/pubs/atlas. Reference: Elliott, D. L., Holladay, C. G., Barchet, W. R., Foote, H.P., and Sandusky, W.F. 1987. Wind Energy Resource Atlas of the United States. Golden, CO: Solar Energy Research Institute. B- 3

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