Study on Atmospheric Stability and Wake Attenuation Constant of Large Offshore Wind Farm in Yellow Sea

Hao Liu, Jixing Chen, Jing Zhang, Yining Chen, Yafeng Wen, Xiaoyang Zhang, Zhongjie Yan and Qingan Li
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Hao Liu: CSSC Windpower Development Co., Ltd., Beijing 100097, China
Jixing Chen: Department of Electrical Engineering, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 100096, China
Jing Zhang: Beijing RETEC New Energy Technology Co., Ltd., Beijing 100079, China
Yining Chen: Department of Atmospheric Science, School of Atmospheric Science, Nanjing University of Information Science and Technology, Nanjing 210044, China
Yafeng Wen: Department of Electrical Engineering, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 100096, China
Xiaoyang Zhang: CSSC Windpower Development Co., Ltd., Beijing 100097, China
Zhongjie Yan: CSSC Windpower Development Co., Ltd., Beijing 100097, China
Qingan Li: Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China

Energies, 2023, vol. 16, issue 5, 1-15

Abstract: Power generation estimation is one of the key steps in wind farm micro-sitting, and its accuracy is related to the wake decay constant in the wake model. Considering the influence of wind resource distribution in different regions, this study carried out interval optimization for the wake decay constant of offshore wind farms in the Yellow Sea region of China. Given the very small length of the sea surface roughness, atmospheric stability is a critical factor influencing the wake extent and recovery speed of offshore wind farms. WAsP 10 (Wind Atlas Analysis and Application software) simulates the wake of various scenarios, and the selection range of wake attenuation constant is investigated by combining the cases of two offshore wind farms in the Yellow Sea region. The study found that the higher the atmospheric stability, the larger the wake and the lower the wake attenuation coefficient. The Yellow Sea wind farm’s wake error system is between 0.03 and 0.04, and the forecast error can be controlled to within 3%. When simulating the wind farm at Yellow Sea offshore for improving power generation and economic evaluation, it is critical to select the correct value range of wake decay constant.

Keywords: wind farm in coastal waters; evaluation of power generation; wake decay constant; WAsP; wake flow (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: 2023
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