Wake and performance interference between adjacent wind farms: Case study of Xinjiang in China by means of mesoscale simulations

Qiang Wang, Kun Luo, Renyu Yuan, Sanxia Zhang and Jianren Fan

Energy, 2019, vol. 166, issue C, 1168-1180

Abstract: To ameliorate the efficiency of wind farms, except assessing the wake effect between the wind turbines, the wake interference between the wind farms must be considered. Based on the Weather Research and Forecasting (WRF) model, the overall performance and power output characteristics, and wake interference effects between the adjacent wind farms in Hami region of Xinjiang province under real terrain and atmospheric conditions were investigated. The wind turbine drag parameterization (WTDP) scheme was elaborated. The results show that the wake of the whole field generally recovers at downstream 16.5 km under prevailing wind direction and annual average wind speed, and the frequency of power output around the rated power is up to 30%. Moreover, the disturbance induced by the wake effect of a large-scale wind farm on its downstream adjacent farm was quantitatively evaluated. Due to the impact of the upstream farm, the wake distance of the downstream wind farm is doubled. The influence on the power output presented a regularity of day-night alternation, with a higher frequency of great loss at night, dawn and evening. The average relative loss ratio reached 5.8%. This study is expected to provide a theoretical basis and engineering guidance for micrositing of wind farms.

Keywords: Wind farm; Wind turbine drag parameterization; Mesoscale simulation; Wake interference; Power characteristics (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:166:y:2019:i:c:p:1168-1180

DOI: 10.1016/j.energy.2018.10.111

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