Description: Long-term hydroelectric potential is drawn directly from a GIS-based study by INL: Feasibility Assessment of the Water Energy Resources of the United States for New Low Power and Small Hydro Classes of Hydroelectric Plants, January 2006.
Metadata
https://oe.oregonexplorer.info/externalcontent/metadata/small_hydro.xml
Name: Annual Average Solar Global Horizontal Irradiance
Display Field:
Type: Raster Layer
Geometry Type: null
Description: Global horizontal solar irradiance in kWh/m2/year.
Metadata
https://oe.oregonexplorer.info/externalcontent/metadata/NSRDB_GHI_Annual_Metadata.txt
Download
https://www.nrel.gov/gis/solar.html
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.
Service Item Id: b23c89e3775e428284f0a19cabe68e00
Copyright Text: 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.
Name: Annual Average Solar Direct Normal Irradiance
Display Field:
Type: Raster Layer
Geometry Type: null
Description: Direct normal solar irradiance in kWh/m2/year.
Metadata
https://oe.oregonexplorer.info/externalcontent/metadata/NSRDB_DNI_Annual_Metadata.txt
Download
https://www.nrel.gov/gis/solar.html
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.
Name: Estimated Annual Solar Utility-Scale Capacity Factor
Display Field:
Type: Raster Layer
Geometry Type: null
Description: "This dataset provides indication of solar resource potential, in terms of quality and quantity, for the State of Oregon. 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.
Copyright Text: NREL, ODOE, E3, Energy Reflections, Andrew Pascale
Name: Annual Average Wind Speed at 100-Meter above Surface Level
Display Field:
Type: Raster Layer
Geometry Type: null
Description: Draxl, C., B.M. Hodge, A. Clifton, and J. McCaa. 2015. Overview and Meteorological Validation of the Wind Integration National Dataset Toolkit (Technical Report, NREL/TP-5000-61740). Golden, CO: National Renewable Energy Laboratory. Draxl, C., B.M. Hodge, A. Clifton, and J. McCaa. 2015. "The Wind Integration National Dataset (WIND) Toolkit." Applied Energy 151: 355366. Lieberman-Cribbin, W., C. Draxl, and A. Clifton. 2014. Guide to Using the WIND Toolkit Validation Code (Technical Report, NREL/TP-5000-62595). Golden, CO: National Renewable Energy Laboratory. King, J., A. Clifton, and B.M. Hodge. 2014. Validation of Power Output for the WIND Toolkit (Technical Report, NREL/TP-5D00-61714). Golden, CO: National Renewable Energy Laboratory.
Metadata
https://oe.oregonexplorer.info/externalcontent/metadata/WTK_100m.txt
Name: Estimated Annual Land Based Wind Utility-Scale Capacity Factor
Display Field:
Type: Raster Layer
Geometry Type: null
Description: "This dataset provides indication of wind resource potential, in terms of quality and quantity, for the State of Oregon. 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 wind power plant with 28% capacity factor would generate 100 MW x 8760 hrs/yr x 28% = 245,280 MWh/yr.
Copyright Text: NREL, ODOE, E3, Energy Reflections, Andrew Pascale
Name: Favorability of Deep Enhanced Geothermal Systems
Display Field: CLASS
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This dataset is a qualitative assessment of geothermal potential (Enhanced Geothermal System EGS) for the US based on Levelized Cost of Electricity, with CLASS 1 being most favorable, and CLASS 5 being least favorable. This dataset does not include shallow EGS resources located near hydrothermal sites or USGS assessment of undiscovered hydrothermal resources. The source data for deep EGS includes temperature at depth from 3 to 10 km provided by Southern Methodist University Geothermal Laboratory (Blackwell & Richards, 2009) and analyses (for regions with temperatures equal to or greater than 150°C) performed by NREL (2009). CLASS 999 regions have temperatures less than 150°C at 10 km depth and were not assessed for deep EGS potential. Temperature at depth data for deep EGS in Alaska and Hawaii not available.
Metadata
https://oe.oregonexplorer.info/externalcontent/metadata/GeothermalLCOE_2009.xml
Description: This dataset contains information about the biomass resources generated by county in the United States. It includes the following feedstock categories: crop residues, forest residues, primary mill residues, secondary mill residues, and urban wood waste.
Metadata
https://oe.oregonexplorer.info/externalcontent/metadata/SolidBiomass.xml
Description: The project estimated the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables densities within a few kilometers of a linear array, even for fixed terminator devices.
Metadata
https://oe.oregonexplorer.info/externalcontent/metadata/wave_hindcast.xml
Description: The project estimated the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables densities within a few kilometers of a linear array, even for fixed terminator devices.
Metadata
https://oe.oregonexplorer.info/externalcontent/metadata/wave-depth.xml
Description: The project estimated the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables densities within a few kilometers of a linear array, even for fixed terminator devices.
Metadata
https://oe.oregonexplorer.info/externalcontent/metadata/wave-energy-period.xml
Description: The project estimated the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables densities within a few kilometers of a linear array, even for fixed terminator devices.
Metadata
https://oe.oregonexplorer.info/externalcontent/metadata/wave-power-density.xml
Description: The project estimated the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables densities within a few kilometers of a linear array, even for fixed terminator devices.
Metadata
https://oe.oregonexplorer.info/externalcontent/metadata/wave-significant-height.xml