"Womp Womp! Your browser does not support canvas :'("

Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth

Publicly accessible License 

This dataset contains global onshore and offshore wind supply curves based on a resource assessment performed at the National Renewable Energy Laboratory (NREL) based on the National Center for Atmospheric Research's (NCAR) Climate Four Dimensional Data Assimilation (CFDDA) mesoscale climate database. This overview is intended to provide a brief description of the origin of the tables in this workbook, not to fully explain the assumptions and calculations involved. The paper linked below includes full detail of sources and assumptions.

The supply curves are defined by country and resource quality. Onshore supply curves are further differentiated by distance to nearest large load or power plant, and offshore by distance to shore and water depth.

The CFDDA database contains hourly wind velocity vectors at a 40km grid, at multiple heights above ground level. For each grid cell, we create hourly wind speed distributions at 90m hub heights, and we compute gross capacity factor through convolution with a representative power curve. Output is derated for outages and wake losses to obtain net capacity factor. Onshore, we assumed a composite IEC Class II turbine; offshore, an IEC Class I turbine. We assumed a wind turbine density of 5 MW/km.

Land and sea area are characterized by country (or country-like object, e.g, Alaska), land use/land cover, elevation, and protection status. Protected, urban, and high-elevation areas are fully excluded, and certain land cover types are fractionally excluded. Offshore, area within 5 nautical miles of or farther than 100 nautical miles from shore are excluded, as are protected marine areas. Marine areas are assigned to country based on exclusive economic zones; unassigned or disputed areas are excluded.

As alluded to previously, in this workbook, "United States of America" refers only to the continental U.S. Alaska and Hawaii are counted separately because of their remoteness. Unassigned "countries" comprise relatively remote, unpopulated areas (Alaska, Greenland, remote islands); and disputed marine areas. We recommend that their resource remain unassigned rather than grouped into larger IAM regions.

Citation Formats

TY - DATA AB - This dataset contains global onshore and offshore wind supply curves based on a resource assessment performed at the National Renewable Energy Laboratory (NREL) based on the National Center for Atmospheric Research's (NCAR) Climate Four Dimensional Data Assimilation (CFDDA) mesoscale climate database. This overview is intended to provide a brief description of the origin of the tables in this workbook, not to fully explain the assumptions and calculations involved. The paper linked below includes full detail of sources and assumptions. The supply curves are defined by country and resource quality. Onshore supply curves are further differentiated by distance to nearest large load or power plant, and offshore by distance to shore and water depth. The CFDDA database contains hourly wind velocity vectors at a 40km grid, at multiple heights above ground level. For each grid cell, we create hourly wind speed distributions at 90m hub heights, and we compute gross capacity factor through convolution with a representative power curve. Output is derated for outages and wake losses to obtain net capacity factor. Onshore, we assumed a composite IEC Class II turbine; offshore, an IEC Class I turbine. We assumed a wind turbine density of 5 MW/km. Land and sea area are characterized by country (or country-like object, e.g, Alaska), land use/land cover, elevation, and protection status. Protected, urban, and high-elevation areas are fully excluded, and certain land cover types are fractionally excluded. Offshore, area within 5 nautical miles of or farther than 100 nautical miles from shore are excluded, as are protected marine areas. Marine areas are assigned to country based on exclusive economic zones; unassigned or disputed areas are excluded. As alluded to previously, in this workbook, "United States of America" refers only to the continental U.S. Alaska and Hawaii are counted separately because of their remoteness. Unassigned "countries" comprise relatively remote, unpopulated areas (Alaska, Greenland, remote islands); and disputed marine areas. We recommend that their resource remain unassigned rather than grouped into larger IAM regions. AU - Sullivan, Patrick A2 - Eurek, Kelly A3 - Gleason, Michaek A4 - Hettinger, Dylan A5 - Heimiller, Donna A6 - Lopez, Anthony DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - KW - country KW - offshore wind KW - onshore wind KW - renewable energy potential KW - resource supply curves KW - wind KW - wind energy KW - wind resource KW - wind resource by country KW - wind resource potential KW - CFDDA KW - database KW - Climate Four Dimensional Data Assimilation KW - mesoscale KW - climate KW - onshore KW - offshore KW - potential KW - supply KW - model KW - capacity factor KW - distance LA - English DA - 2014/11/25 PY - 2014 PB - National Renewable Energy Laboratory T1 - Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth UR - https://data.openei.org/submissions/273 ER -
Export Citation to RIS
Sullivan, Patrick, et al. Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth. National Renewable Energy Laboratory, 25 November, 2014, Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/273.
Sullivan, P., Eurek, K., Gleason, M., Hettinger, D., Heimiller, D., & Lopez, A. (2014). Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth. [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Laboratory. https://data.openei.org/submissions/273
Sullivan, Patrick, Kelly Eurek, Michaek Gleason, Dylan Hettinger, Donna Heimiller, and Anthony Lopez. Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth. National Renewable Energy Laboratory, November, 25, 2014. Distributed by Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/273
@misc{OEDI_Dataset_273, title = {Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth}, author = {Sullivan, Patrick and Eurek, Kelly and Gleason, Michaek and Hettinger, Dylan and Heimiller, Donna and Lopez, Anthony}, abstractNote = {This dataset contains global onshore and offshore wind supply curves based on a resource assessment performed at the National Renewable Energy Laboratory (NREL) based on the National Center for Atmospheric Research's (NCAR) Climate Four Dimensional Data Assimilation (CFDDA) mesoscale climate database. This overview is intended to provide a brief description of the origin of the tables in this workbook, not to fully explain the assumptions and calculations involved. The paper linked below includes full detail of sources and assumptions.

The supply curves are defined by country and resource quality. Onshore supply curves are further differentiated by distance to nearest large load or power plant, and offshore by distance to shore and water depth.

The CFDDA database contains hourly wind velocity vectors at a 40km grid, at multiple heights above ground level. For each grid cell, we create hourly wind speed distributions at 90m hub heights, and we compute gross capacity factor through convolution with a representative power curve. Output is derated for outages and wake losses to obtain net capacity factor. Onshore, we assumed a composite IEC Class II turbine; offshore, an IEC Class I turbine. We assumed a wind turbine density of 5 MW/km.

Land and sea area are characterized by country (or country-like object, e.g, Alaska), land use/land cover, elevation, and protection status. Protected, urban, and high-elevation areas are fully excluded, and certain land cover types are fractionally excluded. Offshore, area within 5 nautical miles of or farther than 100 nautical miles from shore are excluded, as are protected marine areas. Marine areas are assigned to country based on exclusive economic zones; unassigned or disputed areas are excluded.

As alluded to previously, in this workbook, "United States of America" refers only to the continental U.S. Alaska and Hawaii are counted separately because of their remoteness. Unassigned "countries" comprise relatively remote, unpopulated areas (Alaska, Greenland, remote islands); and disputed marine areas. We recommend that their resource remain unassigned rather than grouped into larger IAM regions.
}, url = {https://data.openei.org/submissions/273}, year = {2014}, howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Laboratory, https://data.openei.org/submissions/273}, note = {Accessed: 2025-05-07} }

Details

Data from Nov 25, 2014

Last updated Oct 1, 2024

Submitted Nov 25, 2014

Organization

National Renewable Energy Laboratory

Contact

Donna Heimiller

Authors

Patrick Sullivan

National Renewable Energy Laboratory

Kelly Eurek

National Renewable Energy Laboratory

Michaek Gleason

National Renewable Energy Laboratory

Dylan Hettinger

National Renewable Energy Laboratory

Donna Heimiller

National Renewable Energy Laboratory

Anthony Lopez

National Renewable Energy Laboratory

Share

Submission Downloads