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Visibility analysis and visibility software for the optimisation of wind farm design

Author

Listed:
  • Manchado, Cristina
  • Otero, César
  • Gómez-Jáuregui, Valentín
  • Arias, Rubén
  • Bruschi, Viola
  • Cendrero, Antonio

Abstract

Some advances in our methodological approach for visibility analysis (VA) and some relevant improvements of the software tool (MOYSES v4.0) are presented. Usually visibility studies and Visual Impact Assessments (VIA) are expressed as reports that are carried out only when design of projected structures is already completed. The proposal presented here provides methods and tools that can help to measure and incorporate visibility as a part of the engineering design process. Different queries can be formulated and alternative solutions can be compared during the design stage. The tools are interactive and designers can use them to visually optimise their final solutions.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:60:y:2013:i:c:p:388-401
    DOI: 10.1016/j.renene.2013.05.026
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    References listed on IDEAS

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    1. 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.
    2. Gkeka-Serpetsidaki, Pandora & Papadopoulos, Stylianos & Tsoutsos, Theocharis, 2022. "Assessment of the visual impact of offshore wind farms," Renewable Energy, Elsevier, vol. 190(C), pages 358-370.
    3. Fernandez-Jimenez, L. Alfredo & Mendoza-Villena, Montserrat & Zorzano-Santamaria, Pedro & Garcia-Garrido, Eduardo & Lara-Santillan, Pedro & Zorzano-Alba, Enrique & Falces, Alberto, 2015. "Site selection for new PV power plants based on their observability," Renewable Energy, Elsevier, vol. 78(C), pages 7-15.
    4. 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.
    5. Skenteris, Konstantinos & Mirasgedis, Sevastianos & Tourkolias, Christos, 2019. "Implementing hedonic pricing models for valuing the visual impact of wind farms in Greece," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 248-258.
    6. Griffin, Robert & Chaumont, Nicolas & Denu, Douglas & Guerry, Anne & Kim, Choong-Ki & Ruckelshaus, Mary, 2015. "Incorporating the visibility of coastal energy infrastructure into multi-criteria siting decisions," Marine Policy, Elsevier, vol. 62(C), pages 218-223.
    7. Betakova, Vendula & Vojar, Jiri & Sklenicka, Petr, 2015. "Wind turbines location: How many and how far?," Applied Energy, Elsevier, vol. 151(C), pages 23-31.
    8. 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).
    9. 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.
    10. José F. Herbert-Acero & Oliver Probst & Pierre-Elouan Réthoré & Gunner Chr. Larsen & Krystel K. Castillo-Villar, 2014. "A Review of Methodological Approaches for the Design and Optimization of Wind Farms," Energies, MDPI, vol. 7(11), pages 1-87, October.
    11. Meza, Carlos Germán & Zuluaga Rodríguez, Catalina & D'Aquino, Camila Agner & Amado, Nilton Bispo & Rodrigues, Alcantaro & Sauer, Ildo Luis, 2019. "Toward a 100% renewable island: A case study of Ometepe's energy mix," Renewable Energy, Elsevier, vol. 132(C), pages 628-648.

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