This data collection contains geospatial data supporting the suitability analysis for Wind Energy Areas (WEAs) within Bureau of Ocean Energy Management’s (BOEM) Oregon Call Areas. The dataset includes: 1. Oregon Hexagonal (Hex) Grid: These data depict the 4.05 hectare (10 acre) hexagonal grid used within the NCCOS suitability analysis for siting wind energy areas within BOEM’s Oregon Call Areas. This layer only covers the BOEM Call Areas. 2. Oregon Constraints Suitability Submodel: Incorporates Department of Defense exclusion areas and U.S. Coast Guard Pacific Coast Port Access Route Study (PAC-PARS) fairway zones, representing conflicts with offshore wind development. 3. Oregon Industry and Operations Suitability Submodel: Based on six data layers covering industry and operations. The geometric mean was used to calculate suitability scores, ensuring equal importance across all variables. 4. Oregon Natural Resources Suitability Submodel: Based on fourteen data layers covering natural resources. The geometric mean was used to calculate suitability scores, ensuring equal importance across all variables. 5. Oregon Fisheries Suitability Submodel: Based on nine data layers covering fisheries. The geometric mean was used to calculate suitability scores, ensuring equal importance across all variables. 6. Oregon Wind Suitability Submodel: The Levelized Cost of Energy for 2027 data layer was used to create the wind suitability submodel. The geometric mean was used to calculate suitability scores, ensuring equal importance across all variables. 7. Oregon Final Suitability: Based on thirty data layers covering constraints, industry operations, natural resources, fisheries, and wind logistics. The geometric mean was used to calculate suitability scores, ensuring equal importance across all variables. Grid cells with scores near 0 indicate low suitability, while scores near 1 represent high suitability relative to other grid cells. 8. Oregon High-High Clusters: These data depict the high-high clusters from the NCCOS relative suitability modeling results for BOEM’s Oregon Call Areas. This layer only covers the BOEM Oregon Call Areas. 9. Oregon Wind Energy Areas (aliquots and outlines): BOEM aliquots that overlapped with High-High clusters were selected, and areas less than 55,000 acres were removed, resulting in a total of 617 aliquots being selected. Additional aliquots were included that were fully encircled by the selected aliquots, including four aliquots in the Coos Bay WEA totaling 1,420 acres, and two aliquots in the Brookings WEA totaling 710 acres. The BOEM aliquots within the final Wind Energy Areas were dissolved to create the final Wind Energy Area boundaries. 10. Oregon Combined Suitability - Marine Birds: Incorporates marine bird density and vulnerability metrics, using predicted seasonal density data and weighted sensitivity values to assess potential impacts. 11. Oregon Combined Suitability - NMFS Habitats: These data depict the relative suitability of the NMFS habitat combined data layer. Includes essential fish habitat conservation areas, rocky reef habitats, and deep-sea coral areas, highlighting ecological considerations. This layer only covers the BOEM Oregon Call Areas. 12. Oregon Combined Suitability - NMFS and ODFW Fisheries: Combines data from both NMFS and Oregon Department of Fish and Wildlife (ODFW) on commercial and recreational fisheries, including trawl fisheries, to ensure spatial planning accounts for fisheries' operational needs. 13. Oregon Combined Suitability - NMFS Protected Species: These data depict the relative suitability of the National Marine Fisheries Service (NMFS) protected species combined data layer. Represents protected species listed under the Endangered Species Act (ESA) and Marine Mammal Protection Act (MMPA), including Leatherback Sea turtles, Southern Resident killer whales, and Blue whales, to assess compatibility with offshore wind development. This layer only covers the BOEM

These data represents the predicted mean annual wind speeds at 90 m height presented at a spatial resolution of 200 m. Areas with annual average wind speed of 7 meters per second (m/s) and greater at 90 m height are generally considered to have a wind resource suitable for offshore development. The source data is from 2002 through 2008.

These data represent offshore wind turbines and supporting infrastructure within the United States Exclusive Economic Zone (EEZ) as of February 2024. Seven turbines are operational, five at the Block Island Wind site and two at the Coastal Virginia Offshore Wind site. The seven turbines are responsible for 42 megawatts of power generation capacity. Additional turbines are actively under construction at the Vineyard Wind 1 site, South Fork Wind site, Revolution Wind site, and the Coastal Virginia Offshore Wind site.

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These data depict the predicted mean annual wind speed in meters per second at 100 meters elevation above sea level. The source data is from 2007 through 2013, and is based on a 2 km sample resolution. The source data was generalized and transformed into a polygon format for planning purposes.

Output data from an NREL report entitled "An Assessment of the Economic Potential of Offshore Wind in the United States from 2015 to 2030" (NREL/TP-6A20-67675), which analyzes the spatial variation of levelized cost of energy (LCOE) and levelized avoided cost of energy (LACE) to understand the economic potential of fixed-bottom and floating offshore wind technologies across more than 7,000 U.S. coastal sites between 2015 and 2030.

The data here provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United States. This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. To learn more about this project and methodologies, please see the "Assessment of Offshore Wind Energy Resources for the United States" link below. These data were produced in cooperation with U.S. Department of Energy, and have been validated by NREL. For updated gridded long-term average wind data please see the "Global Wind Atlas" resource below. For more information on NREL's wind resource data development, see the "Wind Integration National Dataset (WIND) Toolkit" and the "WIND Toolkit Long-Term Ensemble Dataset" resources.

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