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Using collaborative virtual environments to plan wind energy installations

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  • Bishop, Ian D.
  • Stock, Christian

Abstract

Countries around the world are introducing requirements to significantly increase their proportion of energy from renewable sources, such as wind. Poor siting or poor decision process will produce considerable local opposition delaying implementation and costing both proponents and the concerned public significant time, effort and stress. We propose that collaborative virtual environments have the advantage of allowing multiple involved parties to play out multiple planning scenarios and gather instant feedback in the process – ultimately with the goal of both effective energy generation and maintenance of local amenity. We have built a case study at the real wind turbine site of the Challicum Hills in Victoria, Australia. We use SIEVE (Spatial Information Exploration and Visualisation Environment) as a collaborative environment. SIEVE allows us to automatically build a virtual landscape model from the GIS data and then explore the model in 3D. Users get instant feedback about visible and audible impact (the simulation included attenuated wind turbine sounds). Edits can be performed in 3D and are saved into the GIS database. Finally, SIEVE allows collaborative planning where each participant can make and see changes and gather instant feedback on how these changes affect others (and if they meet resistance). Collaborative environments have the advantage that proposed changes are dynamic (compared to still images) and changes and feedback are directly linked (compared to an iterative planning process where planners develop plans without instant feedback).

Suggested Citation

  • Bishop, Ian D. & Stock, Christian, 2010. "Using collaborative virtual environments to plan wind energy installations," Renewable Energy, Elsevier, vol. 35(10), pages 2348-2355.
  • Handle: RePEc:eee:renene:v:35:y:2010:i:10:p:2348-2355
    DOI: 10.1016/j.renene.2010.04.003
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    References listed on IDEAS

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    6. Gorsevski, Pece V. & Cathcart, Steven C. & Mirzaei, Golrokh & Jamali, Mohsin M. & Ye, Xinyue & Gomezdelcampo, Enrique, 2013. "A group-based spatial decision support system for wind farm site selection in Northwest Ohio," Energy Policy, Elsevier, vol. 55(C), pages 374-385.
    7. Robert Newell & Colin Dring & Elvia Willyono, 2024. "Imagining Just and Sustainable Food Futures: Using Interactive Visualizations to Explore the Possible Land Uses and Food Systems Approaches in Revelstoke, Canada," Land, MDPI, vol. 13(9), pages 1-33, August.
    8. Teisl, Mario F. & Noblet, Caroline L. & Corey, Richard R. & Giudice, Nicholas A., 2018. "Seeing clearly in a virtual reality: Tourist reactions to an offshore wind project," Energy Policy, Elsevier, vol. 122(C), pages 601-611.
    9. Mekonnen, Addisu D. & Gorsevski, Pece V., 2015. "A web-based participatory GIS (PGIS) for offshore wind farm suitability within Lake Erie, Ohio," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 162-177.
    10. Sri Nikhil Gupta Gourisetti & Sraddhanjoli Bhadra & David Jonathan Sebastian-Cardenas & Md Touhiduzzaman & Osman Ahmed, 2023. "A Theoretical Open Architecture Framework and Technology Stack for Digital Twins in Energy Sector Applications," Energies, MDPI, vol. 16(13), pages 1-58, June.

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