Yu Shihui, Ma Xiaobo, Shen Shizhao, Deng Kai, Wang Jicai, Chen Shen, Shen Yunshan, Liang Bojian, Li Tongsheng, Xu Tao, Pan Zihang, Kang Weiwei, and Xu Zhang
Wind power plant, complex mountain, wake model, topographicwind effect
Mountainous terrain covers approximately 70% of China’s land area, and mountainous wind farms, with their abundant wind resources and vast development potential, have become a new focus for wind energy development. In the micro-siting process of wind farms, the wake effect of wind turbines is one of the key factors affecting turbine layout and overall energy production. Currently, many wake models focus primarily on wind speed variations and often overlook the impact of wind direction. However, wind direction changes are particularly important in mountainous environments, where the “topographic wind effect” plays a significant role in influencing wind direction. This study combines the Jensen and Lissaman models. It takes into account wind speed distribution at different heights. It considers the wake effects between wind turbines in mountainous conditions. Additionally, it corrects for the impact of the topographic wind effect on wind direction. The study proposes a wake model specifically suited for mountainous wind farms. Using a case study of a mountainous wind farm in Wenshan Prefecture, Yunnan Province, the results show that the corrected model increases the wake overlap area by 8.35% and decreases the final wind speed by 1.36%. This model provides a more accurate calculation method for optimising turbine layout in mountainous wind farms.
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