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Continuous spatial modelling to analyse planning and economic consequences of offshore wind energy

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  • Möller, Bernd

Abstract

Offshore wind resources appear abundant, but technological, economic and planning issues significantly reduce the theoretical potential. While massive investments are anticipated and planners and developers are scouting for viable locations and consider risk and impact, few studies simultaneously address potentials and costs together with the consequences of proposed planning in an analytical and continuous manner and for larger areas at once. Consequences may be investments short of efficiency and equity, and failed planning routines. A spatial resource economic model for the Danish offshore waters is presented, used to analyse area constraints, technological risks, priorities for development and opportunity costs of maintaining competing area uses. The SCREAM-offshore wind model (Spatially Continuous Resource Economic Analysis Model) uses raster-based geographical information systems (GIS) and considers numerous geographical factors, technology and cost data as well as planning information. Novel elements are weighted visibility analysis and geographically recorded shipping movements as variable constraints. A number of scenarios have been described, which include restrictions of using offshore areas, as well as alternative uses such as conservation and tourism. The results comprise maps, tables and cost-supply curves for further resource economic assessment and policy analysis. A discussion of parameter variations exposes uncertainties of technology development, environmental protection as well as competing area uses and illustrates how such models might assist in ameliorating public planning, while procuring decision bases for the political process. The method can be adapted to different research questions, and is largely applicable in other parts of the world.

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  • Möller, Bernd, 2011. "Continuous spatial modelling to analyse planning and economic consequences of offshore wind energy," Energy Policy, Elsevier, vol. 39(2), pages 511-517, February.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:2:p:511-517
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    1. 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.
    2. Mani, Swaminathan & Dhingra, Tarun, 2013. "Offshore wind energy policy for India—Key factors to be considered," Energy Policy, Elsevier, vol. 56(C), pages 672-683.
    3. Mani, Swaminathan & Dhingra, Tarun, 2013. "Critique of offshore wind energy policies of the UK and Germany—What are the lessons for India," Energy Policy, Elsevier, vol. 63(C), pages 900-909.
    4. Browning, Morgan S. & Lenox, Carol S., 2020. "Contribution of offshore wind to the power grid: U.S. air quality implications," Applied Energy, Elsevier, vol. 276(C).
    5. Drechsler, Martin & Ohl, Cornelia & Meyerhoff, Jürgen & Eichhorn, Marcus & Monsees, Jan, 2011. "Combining spatial modeling and choice experiments for the optimal spatial allocation of wind turbines," Energy Policy, Elsevier, vol. 39(6), pages 3845-3854, June.

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