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Effect of the wake behind wind rotor on optimum energy output of wind farms

Author

Listed:
  • Husien, Walid
  • El-Osta, Wedad
  • Dekam, Elhadi

Abstract

This study deals with the modeling of the wake effect on the energy extracted from the wind farms. It covers the wake effect of the interaction of the upstream wind rotor with/without the upstream right and/or upstream left wind rotor. A mathematical model representing a single wake model based on the linear description of the wake is developed in order to predict the wind speed inside the wake region at any downstream distance within the wind farm. Two different types of turbines with diameters of 62 m and 100 m are considered. Accordingly the effect of the wake on the energy produced from the wind farms is estimated.

Suggested Citation

  • Husien, Walid & El-Osta, Wedad & Dekam, Elhadi, 2013. "Effect of the wake behind wind rotor on optimum energy output of wind farms," Renewable Energy, Elsevier, vol. 49(C), pages 128-132.
    • Handle: RePEc:eee:renene:v:49:y:2013:i:c:p:128-132
    DOI: 10.1016/j.renene.2012.01.048
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    Citations

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    Cited by:

    1. Jae-ho Jeong & Kwangtae Ha, 2020. "Evaluation of Wind Flow Characteristics by RANS-Based Numerical Site Calibration (NSC) Method with Met-Tower Measurements and Its Application to a Complex Terrain," Energies, MDPI, vol. 13(19), pages 1-16, October.
    2. Emin Sertaç Ari & Cevriye Gencer, 2020. "Proposal of a novel mixed integer linear programming model for site selection of a wind power plant based on power maximization with use of mixed type wind turbines," Energy & Environment, , vol. 31(5), pages 825-841, August.
    3. Jong-Hyeon Shin & Jong-Hwi Lee & Se-Myong Chang, 2019. "A Simplified Numerical Model for the Prediction of Wake Interaction in Multiple Wind Turbines," Energies, MDPI, vol. 12(21), pages 1-14, October.
    4. Zhang, Shaohai & Gao, Xiaoxia & Ma, Wanli & Lu, Hongkun & Lv, Tao & Xu, Shinai & Zhu, Xiaoxun & Sun, Haiying & Wang, Yu, 2023. "Derivation and verification of three-dimensional wake model of multiple wind turbines based on super-Gaussian function," Renewable Energy, Elsevier, vol. 215(C).
    5. Kim, Soo-Hyun & Shin, Hyung-Ki & Joo, Young-Chul & Kim, Keon-Hoon, 2015. "A study of the wake effects on the wind characteristics and fatigue loads for the turbines in a wind farm," Renewable Energy, Elsevier, vol. 74(C), pages 536-543.
    6. Watts, David & Oses, Nicolás & Pérez, Rodrigo, 2016. "Assessment of wind energy potential in Chile: A project-based regional wind supply function approach," Renewable Energy, Elsevier, vol. 96(PA), pages 738-755.
    7. Sturge, D. & While, A. & Howell, R., 2014. "Engineering and energy yield: The missing dimension of wind turbine assessment," Energy Policy, Elsevier, vol. 65(C), pages 245-250.
    8. Shen, Wen Zhong & Zhu, Wei Jun & Barlas, Emre & Li, Ye, 2019. "Advanced flow and noise simulation method for wind farm assessment in complex terrain," Renewable Energy, Elsevier, vol. 143(C), pages 1812-1825.
    9. Kuichao Ma & Huanqiang Zhang & Xiaoxia Gao & Xiaodong Wang & Heng Nian & Wei Fan, 2024. "Research on Evaluation Method of Wind Farm Wake Energy Efficiency Loss Based on SCADA Data Analysis," Sustainability, MDPI, vol. 16(5), pages 1-16, February.
    10. Wang, Qiang & Luo, Kun & Yuan, Renyu & Zhang, Sanxia & Fan, Jianren, 2019. "Wake and performance interference between adjacent wind farms: Case study of Xinjiang in China by means of mesoscale simulations," Energy, Elsevier, vol. 166(C), pages 1168-1180.

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