This wind atlas is the first publicly available, uniform and geospatially explicit (datasets tied to locations) description of extreme wind speeds, according to the research, “A Global Assessment of Extreme Wind Speeds For Wind Energy Applications,” published Jan. 25 in Nature Energy.
“Cost-efficient expansion of the wind-energy industry is enabled by access to this newly released digital atlas of the extreme wind conditions under which wind turbines will operate at locations around the world,” said Sara C. Pryor, professor in the Department of Earth and Atmospheric Sciences, who authored the paper with Rebecca J. Barthelmie, professor in the Sibley School of Mechanical and Aerospace Engineering. Both are faculty fellows at the Cornell Atkinson Center for Sustainability.
“This kind of information will ensure the correct selection of wind turbines for specific deployment,” Pryor said, “and help ensure cost-efficient and dependable electricity generation from those turbines.”
Knowing extreme wind speeds is key to turbine design for cost effectiveness, proper turbine selection and structural integrity on any given site, said the researchers. Before, in many locations, extreme wind-load estimates on projects were uncertain due to limited on-site measurements.
By the end of 2019, total global wind turbine installed capacity was more than 651 GW, according to the paper, thanks to 60 GW of recently built capacity – of which nearly 90% was placed onshore. “Thus, wind is now generating over 1,700 terawatt hours of electricity per year or about 7.5% of the global electricity supply,” Pryor said.
Barthelmie and Pryor report that the United States carries 17% of the world’s current wind energy installed capacity, while Europe (31%) and China (36%) carry more.
There are now wind turbines generating carbon-free electricity in more than 90 countries, Pryor said.
Development of research product was motivated by a need from the wind-energy industry, Barthelmie said. Quantifying extreme winds may also be useful in civil engineering applications and in structural reliability analyses for tall buildings and transportation systems – including long-span bridges – as well as for electricity generation and distribution.
“Further cost-efficient expansion of the wind-energy industry will be enabled by access to this newly released digital atlas,” Pryor said.
Funding for this research was provided by the U.S. Department of Energy (Grants DE-SC0016438 and DE-SC0016605) and was performed on the National Science Foundation’s Extreme Science and Engineering Discovery Environment (XSEDE) computational resources (Award: TG-ATM170024).
Information provided by Cornell University
