Impact Assessment of Offshore Wind Farm Wakes Based on Mesoscale WRF Model

被引：0

作者：

Mu Y. ^{[1
]}

Wang Q. ^{[1
]}

Luo K. ^{[1
]}

Fan J. ^{[2
]}

Zhang B. ^{[3
]}

Shi S. ^{[3
]}

Guo Y. ^{[3
]}

机构：

[1] State Key Laboratory of Clean Energy Utilization (Zhejiang University), Zhejiang Province, Hangzhou

[2] Zhejiang Key Laboratory of Clean Energy and Carbon Neutrality, Zhejiang Province, Hangzhou

[3] Huaneng Clean Energy Research Institute, Changping District, Beijing

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2022年 / 42卷

基金：

中国博士后科学基金;

关键词：

offshore wind farm; the mesoscale; wake effect; weather research and forecasting (WRF) model; wind farm parametrization;

D O I：

10.13334/j.0258-8013.pcsee.220792

中图分类号：

学科分类号：

摘要：

The planning and design of offshore wind farm bases must accurately and scientifically evaluate the wake effect between wind farms. Taking a 300MW offshore wind farm in Jiangsu Province of China as the research object, a mesoscale meteorological weather research and forecasting (WRF) model coupled with the wind farm parameterization model was used to simulate the wake effect of offshore wind farms. The results show that the simulated results of the WRF model are in good agreement with the wind speed measurement data, and the calculation accuracy meets the requirements of wind resource assessment in the early stage of offshore wind power development. Further, compared with the measured data, the reason for the overestimation of the WRF model coupled with wind farm parameterization (fitch model) was analyzed. Affected by the wake of the upstream wind farm, the wind speed at the center of the downstream wind farm decreases by 19.3%, the total power decreases by 13.7%, and the wake length increases from 14km to 45km. Replacing the wind turbines of 4.2MW with 20MW, the wake impact of the upstream wind farm can be reduced to a certain extent. ©2022 Chin.Soc.for Elec.Eng.

引用

页码：193 / 203

页数：10

共 30 条

[1] LIU Jizhen, MA Lifei, WANG Qinghua, Offshore wind power supports China's energy transition [J], Strategic Study of CAE, 23, 1, pp. 149-159, (2021)
[2] Gang HE, Jiang LIN, SIFUENTES F, Rapid cost decrease of renewables and storage accelerates the decarbonization of China's power system[J], Nature Communications, 11, (2020)
[3] ZHANG Peiguo, YU Hong, HOU Bo, Technical summary of wind power generation on the sea[J], Electrical Equipment, 6, 12, pp. 42-44, (2005)
[4] NYGAARD G N．, Wakes in very large wind farms and the effect of neighbouring wind farms[J], Journal of Physics：Conference Series, 524, (2014)
[5] WANG Qiang, Kun LUO, Chunlei WU, Mesoscale simulations of a real onshore wind power base in complex terrain：Wind farm wake behavior and power production [J], Energy, 241, (2022)
[6] SUN T．, Analysis of influence of cluster wakes between wind farms on wind power generation and load [J], Distributed Energy, 6, 2, pp. 56-60, (2021)
[7] LUNDQUIST J K, DUVIVIER K K，, KAFFINE D, Costs and consequences of wind turbine wake effects arising from uncoordinated wind energy development [J], Nature Energy, 4, 1, pp. 26-34, (2019)
[8] NYGAARD N G, NEWCOMBE A C．, Wake behind an offshore wind farm observed with dual-Doppler radars [J], Journal of Physics Conference Series, 1037, 7, (2018)
[9] JENSEN N O．, A note on wind generator interaction [M], (1983)
[10] AINSLIE J F．, Calculating the flowfield in the wake of wind turbines[J], Journal of Wind Engineering and Industrial Aerodynamics, 27, 1-3, pp. 213-224, (1988)

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