<div style='text-align:Left;'><div><div><p><span>This dataset provides indication of solar resource potential, in terms of quality and quantity, for the State of Oregon.</span></p><p><span>Values are reported in terms of estimated annual capacity factor, a measure of wind resource quality. Capacity factor indicates the amount of energy produced in a typical year, as a fraction of maximum possible energy, if the facility were producing at full nameplate capacity, for 100% of the hours of the year. For example, a 100 MW solar power plant with 21% capacity factor would generate 100 MW x 8760 hrs/yr x 21% = 183,960 MWh/yr.</span></p><p><span>Analysis steps included the following: </span></p><p><span>1) Obtain raw wind data from the National Renewable Energy Lab [1], convert from solar irradiance to estimated annual energy production, using NREL SAM batch processing</span></p><p><span>2) Use ESRI “inverse distance weighting” geoprocessing to convert from points (vector format) to continuous surface (raster format)</span></p><p><span>3) Clip to Oregon state boundary</span></p><p><span>References:</span></p><p><span>[1] Sengupta, M., Y. Xie, A. Lopez, A. Habte, G. Maclaurin, and J. Shelby. 2018. "The National Solar Radiation Data Base (NSRDB)." Renewable and Sustainable Energy Reviews 89 (June): 51-60.</span></p><p><span>And Blair et al. “System Advisor Model (SAM) General Description (Version 2017.9.5).” National Renewable Energy Lab (NREL), 2018. https://sam.nrel.gov/.</span></p><p><span>Solar PV capacity factor calculation assumptions for SAM: Ground Mount Fixed-tilt Racking Configuration, DC/AC Ratio = 1.35, Average Annual Soiling Losses = 3%, Module Mismatch Losses = 2%, Diode and Connection Losses = 0.5%, DC Wiring Losses = 2%, AC Wiring Losses = 1%, Availability Losses = 1%, Degradation = 0.35% in first year and 0.7%/year thereafter</span></p></div></div></div>
<div style='text-align:Left;'><div><div><p><span>This dataset provides indication of solar resource potential, in terms of quality and quantity, for the State of Oregon.</span></p><p><span>Values are reported in terms of estimated annual capacity factor, a measure of wind resource quality. Capacity factor indicates the amount of energy produced in a typical year, as a fraction of maximum possible energy, if the facility were producing at full nameplate capacity, for 100% of the hours of the year. For example, a 100 MW solar power plant with 21% capacity factor would generate 100 MW x 8760 hrs/yr x 21% = 183,960 MWh/yr.</span></p><p><span>Analysis steps included the following: </span></p><p><span>1) Obtain raw wind data from the National Renewable Energy Lab [1], convert from solar irradiance to estimated annual energy production, using NREL SAM batch processing</span></p><p><span>2) Use ESRI “inverse distance weighting” geoprocessing to convert from points (vector format) to continuous surface (raster format)</span></p><p><span>3) Clip to Oregon state boundary</span></p><p><span>References:</span></p><p><span>[1] Sengupta, M., Y. Xie, A. Lopez, A. Habte, G. Maclaurin, and J. Shelby. 2018. "The National Solar Radiation Data Base (NSRDB)." Renewable and Sustainable Energy Reviews 89 (June): 51-60.</span></p><p><span>And Blair et al. “System Advisor Model (SAM) General Description (Version 2017.9.5).” National Renewable Energy Lab (NREL), 2018. https://sam.nrel.gov/.</span></p><p><span>Solar PV capacity factor calculation assumptions for SAM: Ground Mount Fixed-tilt Racking Configuration, DC/AC Ratio = 1.35, Average Annual Soiling Losses = 3%, Module Mismatch Losses = 2%, Diode and Connection Losses = 0.5%, DC Wiring Losses = 2%, AC Wiring Losses = 1%, Availability Losses = 1%, Degradation = 0.35% in first year and 0.7%/year thereafter</span></p></div></div></div>
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