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Wind farm repowering guided by visual impact criteria

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  • Manchado, Cristina
  • Gomez-Jauregui, Valentin
  • Lizcano, Piedad E.
  • Iglesias, Andres
  • Galvez, Akemi
  • Otero, Cesar

Abstract

Within a repowering context, this paper opens a new field of application for visibility and Visual Impact Assessment (VIA) procedures in the decision-making process typical of the design stage of Wind Farms (WF). The proposed methodology presents a test capable of reporting on the visual sustainability of different layouts. It is called Equivalent Visual Impact (EVI). To work with EVI, visibility data have to be numerically available at a level of each pixel and each Wind Turbine (WT). This is called High Resolution Data (HRD). The paper shows how these ideas, EVI and HRD, were applied to a real repowering experience; the result was that the WF could sustain an increment in its power by 37.25% with no additional visual effects. Other associated consequences are discussed.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:135:y:2019:i:c:p:197-207
    DOI: 10.1016/j.renene.2018.12.007
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    References listed on IDEAS

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    1. Ladenburg, Jacob & Möller, Bernd, 2011. "Attitude and acceptance of offshore wind farms—The influence of travel time and wind farm attributes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4223-4235.
    2. Otero, César & Manchado, Cristina & Arias, Rubén & Bruschi, Viola M. & Gómez-Jáuregui, Valentín & Cendrero, Antonio, 2012. "Wind energy development in Cantabria, Spain. Methodological approach, environmental, technological and social issues," Renewable Energy, Elsevier, vol. 40(1), pages 137-149.
    3. Manchado, Cristina & Otero, César & Gómez-Jáuregui, Valentín & Arias, Rubén & Bruschi, Viola & Cendrero, Antonio, 2013. "Visibility analysis and visibility software for the optimisation of wind farm design," Renewable Energy, Elsevier, vol. 60(C), pages 388-401.
    4. Bishop, Ian D. & Miller, David R., 2007. "Visual assessment of off-shore wind turbines: The influence of distance, contrast, movement and social variables," Renewable Energy, Elsevier, vol. 32(5), pages 814-831.
    5. Molina-Ruiz, José & Martínez-Sánchez, María José & Pérez-Sirvent, Carmen & Tudela-Serrano, Mari Luz & García Lorenzo, Mari Luz, 2011. "Developing and applying a GIS-assisted approach to evaluate visual impact in wind farms," Renewable Energy, Elsevier, vol. 36(3), pages 1125-1132.
    6. González, Javier Serrano & Gonzalez Rodriguez, Angel G. & Mora, José Castro & Santos, Jesús Riquelme & Payan, Manuel Burgos, 2010. "Optimization of wind farm turbines layout using an evolutive algorithm," Renewable Energy, Elsevier, vol. 35(8), pages 1671-1681.
    7. 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.
    8. Ladenburg, Jacob & Dubgaard, Alex, 2007. "Willingness to pay for reduced visual disamenities from offshore wind farms in Denmark," Energy Policy, Elsevier, vol. 35(8), pages 4059-4071, August.
    9. Ladenburg, Jacob, 2009. "Visual impact assessment of offshore wind farms and prior experience," Applied Energy, Elsevier, vol. 86(3), pages 380-387, March.
    10. Tsoutsos, Theocharis & Tsouchlaraki, Androniki & Tsiropoulos, Manolis & Serpetsidakis, Michalis, 2009. "Visual impact evaluation of a wind park in a Greek island," Applied Energy, Elsevier, vol. 86(4), pages 546-553, April.
    11. Hurtado, Juan Pablo & Fernández, Joaquín & Parrondo, Jorge L. & Blanco, Eduardo, 2004. "Spanish method of visual impact evaluation in wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(5), pages 483-491, October.
    12. 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.
    13. Sunak, Yasin & Madlener, Reinhard, 2016. "The impact of wind farm visibility on property values: A spatial difference-in-differences analysis," Energy Economics, Elsevier, vol. 55(C), pages 79-91.
    14. Ashuri, T. & Zaaijer, M.B. & Martins, J.R.R.A. & van Bussel, G.J.W. & van Kuik, G.A.M., 2014. "Multidisciplinary design optimization of offshore wind turbines for minimum levelized cost of energy," Renewable Energy, Elsevier, vol. 68(C), pages 893-905.
    15. Torres Sibille, Ana del Carmen & Cloquell-Ballester, Víctor-Andrés & Cloquell-Ballester, Vicente-Agustín & Darton, Richard, 2009. "Development and validation of a multicriteria indicator for the assessment of objective aesthetic impact of wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(1), pages 40-66, January.
    16. Kapetanakis, I.A. & Kolokotsa, D. & Maria, E.A., 2014. "Parametric analysis and assessment of the photovoltaics' landscape integration: Technical and legal aspects," Renewable Energy, Elsevier, vol. 67(C), pages 207-214.
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    3. 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.
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    5. Hanna Szumilas-Kowalczyk & Renata Giedych, 2022. "Analysis of Regulatory Possibilities and Obstacles to Expand Renewable Energy and Preserve Landscape Quality in the Silesian Voivodship," Resources, MDPI, vol. 11(2), pages 1-32, February.
    6. Alphan, H., 2021. "Modelling potential visibility of wind turbines: A geospatial approach for planning and impact mitigation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).

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