Power and Wind Shear Implications of Large Wind Turbine Scenarios in the US Central Plains
Rebecca J. Barthelmie,
Tristan J. Shepherd,
Jeanie A. Aird and
Sara C. Pryor
Additional contact information
Rebecca J. Barthelmie: Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA
Tristan J. Shepherd: Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY 14853, USA
Jeanie A. Aird: Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA
Sara C. Pryor: Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY 14853, USA
Energies, 2020, vol. 13, issue 16, 1-21
Abstract:
Continued growth of wind turbine physical dimensions is examined in terms of the implications for wind speed, power and shear across the rotor plane. High-resolution simulations with the Weather Research and Forecasting model are used to generate statistics of wind speed profiles for scenarios of current and future wind turbines. The nine-month simulations, focused on the eastern Central Plains, show that the power scales broadly as expected with the increase in rotor diameter ( D ) and wind speeds at hub-height ( H ). Increasing wind turbine dimensions from current values (approximately H = 100 m, D = 100 m) to those of the new International Energy Agency reference wind turbine ( H = 150 m, D = 240 m), the power across the rotor plane increases 7.1 times. The mean domain-wide wind shear exponent ( α ) decreases from 0.21 ( H = 100 m, D = 100 m) to 0.19 for the largest wind turbine scenario considered ( H = 168 m, D = 248 m) and the frequency of extreme positive shear ( α > 0.2) declines from 48% to 38% of 10-min periods. Thus, deployment of larger wind turbines potentially yields considerable net benefits for both the wind resource and reductions in fatigue loading related to vertical shear.
Keywords: Weather Research and Forecasting (WRF) model; shear exponent; rotor equivalent wind speeds; wind turbines; wind energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://www.mdpi.com/1996-1073/13/16/4269/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/16/4269/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:16:p:4269-:d:400591
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().