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Modeling and Investigation of the Effect of a Wind Turbine on the Atmospheric Boundary Layer

Author

Listed:
  • Vladislav N. Kovalnogov

    (Laboratory of Inter-Disciplinary Problems in Energy Production, Ulyanovsk State Technical University, 32 Severny Venetz Street, 432027 Ulyanovsk, Russia)

  • Ruslan V. Fedorov

    (Laboratory of Inter-Disciplinary Problems in Energy Production, Ulyanovsk State Technical University, 32 Severny Venetz Street, 432027 Ulyanovsk, Russia)

  • Andrei V. Chukalin

    (Laboratory of Inter-Disciplinary Problems in Energy Production, Ulyanovsk State Technical University, 32 Severny Venetz Street, 432027 Ulyanovsk, Russia)

  • Ekaterina V. Tsvetova

    (Laboratory of Inter-Disciplinary Problems in Energy Production, Ulyanovsk State Technical University, 32 Severny Venetz Street, 432027 Ulyanovsk, Russia)

  • Mariya I. Kornilova

    (Laboratory of Inter-Disciplinary Problems in Energy Production, Ulyanovsk State Technical University, 32 Severny Venetz Street, 432027 Ulyanovsk, Russia)

Abstract

Wind power engineering is one of the environmentally safe areas of energy and certainly makes a significant contribution to the fight against CO 2 emissions. The study of the air masses movement in the zone of wind turbines and their influence on the boundary layer of the atmosphere is a fundamental basis for the efficient use of wind energy. The paper considers the theory of the movement of air masses in the rotation zone of a wind turbine, and presents an analytical review of applied methods for modeling the atmospheric boundary layer and its interaction with a wind turbine. The results of modeling the boundary layer in the wind turbine zone using the STAR CCM+ software product are presented. The wind speed and intensity of turbulence in the near and far wake of the wind turbine at nominal load parameters are investigated. There is a significant decrease in the average wind speed in the near wake of the wind generator by 3 m/s and an increase in turbulent intensity by 18.3%. When considering the long-distance track behind the wind turbine, there is a decrease in the average speed by 0.6 m/s, while the percentage taken from the average value of the turbulent intensity is 7.2% higher than in the section in front of the wind generator. The influence of a wind turbine on the change in the temperature stratification of the boundary layer is considered. The experiments revealed a temperature change (up to 0.5 K), which is insignificant, but at night the stratification reaches large values due to an increase in the temperature difference in the surface boundary layer. In the long term, the research will contribute to the sustainable and efficient development of regional wind energy.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8196-:d:961955
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    References listed on IDEAS

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    1. 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.
    2. Tristan Revaz & Fernando Porté-Agel, 2021. "Large-Eddy Simulation of Wind Turbine Flows: A New Evaluation of Actuator Disk Models," Energies, MDPI, vol. 14(13), pages 1-22, June.
    3. 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).
    4. Narbel, Patrick A. & Hansen, Jan Petter, 2014. "Estimating the cost of future global energy supply," Discussion Papers 2014/14, Norwegian School of Economics, Department of Business and Management Science.
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    Cited by:

    1. Vladislav N. Kovalnogov & Ruslan V. Fedorov & Andrei V. Chukalin & Mariya I. Kornilova & Tamara V. Karpukhina & Anton V. Petrov, 2023. "Application of Intelligent and Digital Technologies to the Tasks of Wind Energy," Energies, MDPI, vol. 16(1), pages 1-16, January.

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