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Energy and Acoustic Environmental Effective Approach for a Wind Farm Location

Author

Listed:
  • Katarzyna Wolniewicz

    (Faculty of Civil Engineering, Environmental and Geodetic Sciences, Koszalin University of Technology, ul. Śniadeckich 2, 75-453 Koszalin, Poland)

  • Adam Zagubień

    (Faculty of Civil Engineering, Environmental and Geodetic Sciences, Koszalin University of Technology, ul. Śniadeckich 2, 75-453 Koszalin, Poland)

  • Mirosław Wesołowski

    (Faculty of Civil Engineering, Environmental and Geodetic Sciences, Koszalin University of Technology, ul. Śniadeckich 2, 75-453 Koszalin, Poland)

Abstract

The justification for the construction of a wind farm depends primarily on two factors. The first one is the availability of the area with significant windiness; the second one is the environmental conditions in the selected location. The aim of this paper was to demonstrate the need for parallel noise and energy analyses during the design of a turbine location and selection of its type on the wind farm. The noise analyses were performed according to ISO 9613-2. A detailed analysis of wind conditions in a given location is a basic activity to determine the profitability of a wind power plant foundation. The main environmental impact of WF is noise emission. The examples of wind turbines’ selection optimally utilizing wind resources in two particular locations are presented. Six wind turbines were analyzed for each location. The choice of a wind turbine for the examined location was determined by the parameters of the device, the results of annual wind measurements, and acceptable noise levels in the environment. The three devices that met the acoustic criteria and the most energy efficient ones are indicated. We describe how a proper process of selecting a type of WT for a specific location should proceed.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7290-:d:671702
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    References listed on IDEAS

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    1. Wais, Piotr, 2017. "Two and three-parameter Weibull distribution in available wind power analysis," Renewable Energy, Elsevier, vol. 103(C), pages 15-29.
    2. Wais, Piotr, 2017. "A review of Weibull functions in wind sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1099-1107.
    3. Rajper, Samina & Amin, Imran J., 2012. "Optimization of wind turbine micrositing: A comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5485-5492.
    4. 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.
    5. Jung-Tae Lee & Hyun-Goo Kim & Yong-Heack Kang & Jin-Young Kim, 2019. "Determining the Optimized Hub Height of Wind Turbine Using the Wind Resource Map of South Korea," Energies, MDPI, vol. 12(15), pages 1-13, July.
    6. Liu, W.Y., 2017. "A review on wind turbine noise mechanism and de-noising techniques," Renewable Energy, Elsevier, vol. 108(C), pages 311-320.
    7. Enevoldsen, Peter & Permien, Finn-Hendrik & Bakhtaoui, Ines & Krauland, Anna-Katharina von & Jacobson, Mark Z. & Xydis, George & Sovacool, Benjamin K. & Valentine, Scott V. & Luecht, Daniel & Oxley, G, 2019. "How much wind power potential does europe have? Examining european wind power potential with an enhanced socio-technical atlas," Energy Policy, Elsevier, vol. 132(C), pages 1092-1100.
    8. Yang, Kyoungboo & Kwak, Gyeongil & Cho, Kyungho & Huh, Jongchul, 2019. "Wind farm layout optimization for wake effect uniformity," Energy, Elsevier, vol. 183(C), pages 983-995.
    9. Hansen, Joachim Toftegaard & Mahak, Mahak & Tzanakis, Iakovos, 2021. "Numerical modelling and optimization of vertical axis wind turbine pairs: A scale up approach," Renewable Energy, Elsevier, vol. 171(C), pages 1371-1381.
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    Cited by:

    1. Artur Amsharuk & Grażyna Łaska, 2022. "A Review: Existing Methods for Solving Spatial Planning Problems for Wind Turbines in Poland," Energies, MDPI, vol. 15(23), pages 1-20, November.
    2. Adam Zagubień & Katarzyna Wolniewicz, 2022. "Energy Efficiency of Small Wind Turbines in an Urbanized Area—Case Studies," Energies, MDPI, vol. 15(14), pages 1-15, July.
    3. Artur Amsharuk & Grażyna Łaska, 2023. "The Approach to Finding Locations for Wind Farms Using GIS and MCDA: Case Study Based on Podlaskie Voivodeship, Poland," Energies, MDPI, vol. 16(20), pages 1-24, October.
    4. 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.

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