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