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Optimized Placement of Onshore Wind Farms Considering Topography

Author

Listed:
  • Xiawei Wu

    (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, No.2006, XiYuan Avenue, Chengdu 611731, China)

  • Weihao Hu

    (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, No.2006, XiYuan Avenue, Chengdu 611731, China)

  • Qi Huang

    (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, No.2006, XiYuan Avenue, Chengdu 611731, China)

  • Cong Chen

    (Public Health England/Health Data Insight Community Interest Company, Cambridge CB21 5XE, UK)

  • Zhe Chen

    (Department of Energy Technology, Aalborg University, Pontoppidanstraede 101, DK-9220 Aalborg, Denmark)

  • Frede Blaabjerg

    (Department of Energy Technology, Aalborg University, Pontoppidanstraede 101, DK-9220 Aalborg, Denmark)

Abstract

As the scale of onshore wind farms are increasing, the influence of wake behavior on power production becomes increasingly significant. Wind turbines sittings in onshore wind farms should take terrain into consideration including height change and slope curvature. However, optimized wind turbine (WT) placement for onshore wind farms considering both topographic amplitude and wake interaction is realistic. In this paper, an approach for optimized placement of onshore wind farms considering the topography as well as the wake effect is proposed. Based on minimizing the levelized production cost (LPC), the placement of WTs was optimized considering topography and the effect of this on WTs interactions. The results indicated that the proposed method was effective for finding the optimized layout for uneven onshore wind farms. The optimization method is applicable for optimized placement of onshore wind farms and can be extended to different topographic conditions.

Suggested Citation

  • Xiawei Wu & Weihao Hu & Qi Huang & Cong Chen & Zhe Chen & Frede Blaabjerg, 2019. "Optimized Placement of Onshore Wind Farms Considering Topography," Energies, MDPI, vol. 12(15), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2944-:d:253420
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    References listed on IDEAS

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    Cited by:

    1. Daniel Duda & Václav Uruba & Vitalii Yanovych, 2021. "Wake Width: Discussion of Several Methods How to Estimate It by Using Measured Experimental Data," Energies, MDPI, vol. 14(15), pages 1-19, August.
    2. Florin Onea & Andrés Ruiz & Eugen Rusu, 2020. "An Evaluation of the Wind Energy Resources along the Spanish Continental Nearshore," Energies, MDPI, vol. 13(15), pages 1-23, August.
    3. Waldemar Kuczyński & Katarzyna Wolniewicz & Henryk Charun, 2021. "Analysis of the Wind Turbine Selection for the Given Wind Conditions," Energies, MDPI, vol. 14(22), pages 1-16, November.
    4. Andrés Ruiz & Florin Onea & Eugen Rusu, 2020. "Study Concerning the Expected Dynamics of the Wind Energy Resources in the Iberian Nearshore," Energies, MDPI, vol. 13(18), pages 1-25, September.
    5. Katarzyna Wolniewicz & Adam Zagubień & Mirosław Wesołowski, 2021. "Energy and Acoustic Environmental Effective Approach for a Wind Farm Location," Energies, MDPI, vol. 14(21), pages 1-17, November.
    6. Chakib El Mokhi & Adnane Addaim, 2020. "Optimization of Wind Turbine Interconnections in an Offshore Wind Farm Using Metaheuristic Algorithms," Sustainability, MDPI, vol. 12(14), pages 1-24, July.

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