This study presents a concise yet effective approach for vertically extrapolating Weibull parameters, using the power law approximation of the wind velocity profile, which describes the exponential increase in mean wind speed with height, as specified in IEC 61400-1. A robust method is necessary to extrapolate wind data collected at lower mast heights to higher locations. Current extrapolation methods are typically constrained in their applicable height range, requiring the development of a new model to accommodate the trend toward larger wind turbines. The proposed formulation is based on extrapolating the Weibull shape and scale parameters from a reference height and assuming a power law velocity profile controlled by the wind shear exponent. The extrapolation function was derived by stretching the Weibull distribution to align with a power law relating average wind speed to height, followed by normalization of the result. Also, a revised empirical formula for the vertical extrapolation of Weibull parameters to heights exceeding 100 m is proposed and validated for accuracy. The Weibull parameter extrapolation method introduced in this study is particularly useful for wind farm development and estimating conditions relevant to the flight testing of unmanned aerial vehicles.
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March 2025
Research Article|
March 19 2025
Vertical extrapolation of Weibull parameters using PDF scaling and wind shear exponent
Special Collection:
Flow, Turbulence, and Wind Energy
Ki-Wahn Ryu
;
Ki-Wahn Ryu
(Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Supervision, Writing – original draft, Writing – review & editing)
1
Department of Aerospace Engineering, Jeonbuk National University
, Jeonju 54896, Republic of Korea
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Ji-Young Kim
;
Ji-Young Kim
(Data curation, Investigation)
2
Korea Electric Power Research Institute
, Daejeon 34056, Republic of Korea
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Leonardo P. Chamorro
Leonardo P. Chamorro
a)
(Formal analysis, Funding acquisition, Methodology, Supervision, Validation, Writing – review & editing)
3
Department of Mechanical Science and Engineering, University of Illinois
, Urbana, Illinois 61801, USA
4
Department of Aerospace Engineering, University of Illinois
, Urbana, Illinois 61801, USA
5
Department of Civil and Environmental Engineering, University of Illinois
, Urbana, Illinois 61801, USA
6
Department of Earth Science and Environmental Change, University of Illinois
, Urbana, Illinois 61801, USA
a)Author to whom correspondence should be addressed: [email protected]
Search for other works by this author on:
Ki-Wahn Ryu
1
Ji-Young Kim
2
Leonardo P. Chamorro
3,4,5,6,a)
1
Department of Aerospace Engineering, Jeonbuk National University
, Jeonju 54896, Republic of Korea
2
Korea Electric Power Research Institute
, Daejeon 34056, Republic of Korea
3
Department of Mechanical Science and Engineering, University of Illinois
, Urbana, Illinois 61801, USA
4
Department of Aerospace Engineering, University of Illinois
, Urbana, Illinois 61801, USA
5
Department of Civil and Environmental Engineering, University of Illinois
, Urbana, Illinois 61801, USA
6
Department of Earth Science and Environmental Change, University of Illinois
, Urbana, Illinois 61801, USA
a)Author to whom correspondence should be addressed: [email protected]
J. Renewable Sustainable Energy 17, 023304 (2025)
Article history
Received:
November 12 2024
Accepted:
February 28 2025
Citation
Ki-Wahn Ryu, Ji-Young Kim, Leonardo P. Chamorro; Vertical extrapolation of Weibull parameters using PDF scaling and wind shear exponent. J. Renewable Sustainable Energy 1 March 2025; 17 (2): 023304. https://doi.org/10.1063/5.0248532
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