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A review on the Spanish Method of visual impact assessment of wind farms: SPM2

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  • Manchado, Cristina
  • Gomez-Jauregui, Valentin
  • Otero, César

Abstract

This work offers a review of the so-called Spanish Method for the visual impact assessment of wind farms. The five coefficients originally proposed in the method have been analysed and discussed from several approaches: validity, efficiency, limitations and need of actualisation, among others. As a result, we establish a set of new proposals that update or modify the definition or calculation of these coefficients, but always trying to retain their original meaning. The work is complemented by a short case study in which we compare the values of the coefficients of the original Spanish Method with those arisen from our new proposal. The difference is often relevant, both in the numerical value of the coefficients and in the improvement of their ability to describe the visual effect. Finally, the new formulation of the Spanish Method opens a possibility for the public participation in several moments of the process.

Suggested Citation

  • Manchado, Cristina & Gomez-Jauregui, Valentin & Otero, César, 2015. "A review on the Spanish Method of visual impact assessment of wind farms: SPM2," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 756-767.
    • Handle: RePEc:eee:rensus:v:49:y:2015:i:c:p:756-767
    DOI: 10.1016/j.rser.2015.04.067
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    References listed on IDEAS

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    Cited by:

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    2. Szumilas-Kowalczyk, H. & Pevzner, N. & Giedych, R., 2020. "Long-term visual impacts of aging infrastructure: Challenges of decommissioning wind power infrastructure and a survey of alternative strategies," Renewable Energy, Elsevier, vol. 150(C), pages 550-560.
    3. Wróżyński, Rafał & Sojka, Mariusz & Pyszny, Krzysztof, 2016. "The application of GIS and 3D graphic software to visual impact assessment of wind turbines," Renewable Energy, Elsevier, vol. 96(PA), pages 625-635.
    4. Sklenicka, Petr & Zouhar, Jan, 2018. "Predicting the visual impact of onshore wind farms via landscape indices: A method for objectivizing planning and decision processes," Applied Energy, Elsevier, vol. 209(C), pages 445-454.
    5. Diego, Jesús C. & Bonete, Saray & Chías, Pilar, 2022. "VIA-7 Method: A seven perceptual parameters methodology for the assessment of visual impact caused by wind and solar facilities on the landscape in cultural heritage sites," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    6. Cuadra, L. & Ocampo-Estrella, I. & Alexandre, E. & Salcedo-Sanz, S., 2019. "A study on the impact of easements in the deployment of wind farms near airport facilities," Renewable Energy, Elsevier, vol. 135(C), pages 566-588.
    7. Ioannidis, R. & Mamassis, N. & Efstratiadis, A. & Koutsoyiannis, D., 2022. "Reversing visibility analysis: Towards an accelerated a priori assessment of landscape impacts of renewable energy projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    8. Manchado, Cristina & Gomez-Jauregui, Valentin & Lizcano, Piedad E. & Iglesias, Andres & Galvez, Akemi & Otero, Cesar, 2019. "Wind farm repowering guided by visual impact criteria," Renewable Energy, Elsevier, vol. 135(C), pages 197-207.

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