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Impact of substantial wind farms on the local and regional atmospheric boundary layer: Case study of Zhangbei wind power base in China

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  • Wang, Qiang
  • Luo, Kun
  • Wu, Chunlei
  • Fan, Jianren

Abstract

The environment-friendly development of wind power is complicated as the atmospheric impacts of wind farms are difficult to measure. Wind power has made contributions to emission reduction, but it is undeniable that the substantial wind farms (SWFs) have had a non-negligible impact on the local ABL. This paper aims to provide a reliable methodological scheme and practical data for human beings to objectively understand the development of wind power. Based on the data from one of the Chinese gigawatt-scale wind power bases in Zhangbei County of Hebei Province, the mesoscale simulations were conducted to explore the impacts of substantial wind farms on the local and regional atmosphere. The results show that: (i) the impact of substantial wind farms on the local area is significant and sustained, while this impact on the regional area is slight and occasional; (ii) it can bring about the seasonal and diurnal differences in the local ABL property; (iii) it can not only induce the horizontal turbulence directly caused by wind turbine wake flow, but also produce the vertical mixing in the near-surface ABL. A systematic analysis of wind power potential and its atmospheric impact is urgent to ensure sustainable development of wind power.

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  • Wang, Qiang & Luo, Kun & Wu, Chunlei & Fan, Jianren, 2019. "Impact of substantial wind farms on the local and regional atmospheric boundary layer: Case study of Zhangbei wind power base in China," Energy, Elsevier, vol. 183(C), pages 1136-1149.
    • Handle: RePEc:eee:energy:v:183:y:2019:i:c:p:1136-1149
    DOI: 10.1016/j.energy.2019.07.026
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    Cited by:

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    2. Yongnian Zhao & Yu Xue & Shanhong Gao & Jundong Wang & Qingcai Cao & Tao Sun & Yan Liu, 2022. "Computation and Analysis of an Offshore Wind Power Forecast: Towards a Better Assessment of Offshore Wind Power Plant Aerodynamics," Energies, MDPI, vol. 15(12), pages 1-17, June.
    3. He, Yuhang & Han, Xingxing & Xu, Chang & Cheng, Zhe & Wang, Jincheng & Liu, Wei & Xu, Dong, 2023. "Sensitivity of simulated wind power under diverse spatial scales and multiple terrains using the weather research and forecasting model," Energy, Elsevier, vol. 285(C).
    4. Vladislav N. Kovalnogov & Ruslan V. Fedorov & Andrei V. Chukalin & Ekaterina V. Tsvetova & Mariya I. Kornilova, 2022. "Modeling and Investigation of the Effect of a Wind Turbine on the Atmospheric Boundary Layer," Energies, MDPI, vol. 15(21), pages 1-17, November.
    5. Wu, Chunlei & Luo, Kun & Wang, Qiang & Fan, Jianren, 2022. "Simulated potential wind power sensitivity to the planetary boundary layer parameterizations combined with various topography datasets in the weather research and forecasting model," Energy, Elsevier, vol. 239(PB).
    6. Wang, Qiang & Luo, Kun & Wu, Chunlei & Zhu, Zhaofan & Fan, Jianren, 2022. "Mesoscale simulations of a real onshore wind power base in complex terrain: Wind farm wake behavior and power production," Energy, Elsevier, vol. 241(C).

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