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Joint analysis of resident complaints, meteorological, acoustic, and ground motion data to establish a robust annoyance evaluation of wind turbine emissions

Author

Listed:
  • Gaßner, Laura
  • Blumendeller, Esther
  • Müller, Florian J.Y.
  • Wigger, Maayen
  • Rettenmeier, Andreas
  • Cheng, Po Wen
  • Hübner, Gundula
  • Ritter, Joachim
  • Pohl, Johannes

Abstract

In order to advance the expansion of onshore wind energy, wind turbines (WTs) must be erected in often complex terrain. The orography and the associated meteorological conditions, as well as the complex propagation of sound and ground motion waves can lead to increased annoyance of residents.

Suggested Citation

  • Gaßner, Laura & Blumendeller, Esther & Müller, Florian J.Y. & Wigger, Maayen & Rettenmeier, Andreas & Cheng, Po Wen & Hübner, Gundula & Ritter, Joachim & Pohl, Johannes, 2022. "Joint analysis of resident complaints, meteorological, acoustic, and ground motion data to establish a robust annoyance evaluation of wind turbine emissions," Renewable Energy, Elsevier, vol. 188(C), pages 1072-1093.
    • Handle: RePEc:eee:renene:v:188:y:2022:i:c:p:1072-1093
    DOI: 10.1016/j.renene.2022.02.081
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    References listed on IDEAS

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    1. Pohl, Johannes & Rudolph, David & Lyhne, Ivar & Clausen, Niels-Erik & Aaen, Sara Bjørn & Hübner, Gundula & Kørnøv, Lone & Kirkegaard, Julia K., 2021. "Annoyance of residents induced by wind turbine obstruction lights: A cross-country comparison of impact factors," Energy Policy, Elsevier, vol. 156(C).
    2. Pohl, Johannes & Hübner, Gundula & Mohs, Anja, 2012. "Acceptance and stress effects of aircraft obstruction markings of wind turbines," Energy Policy, Elsevier, vol. 50(C), pages 592-600.
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    Cited by:

    1. Julien Walzberg & Annika Eberle, 2023. "Modeling Systems’ Disruption and Social Acceptance—A Proof-of-Concept Leveraging Reinforcement Learning," Sustainability, MDPI, vol. 15(13), pages 1-13, June.
    2. Müller, Florian Johannes Yanic & Leschinger, Valentin & Hübner, Gundula & Pohl, Johannes, 2023. "Understanding subjective and situational factors of wind turbine noise annoyance," Energy Policy, Elsevier, vol. 173(C).
    3. Yudi Xing & Xingyu Wang & Weijie Chen & Fan Tong & Weiyang Qiao, 2023. "Experimental Study on Wind Turbine Airfoil Trailing Edge Noise Reduction Using Wavy Leading Edges," Energies, MDPI, vol. 16(16), pages 1-15, August.

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