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Assessing offshore wind potential

Author

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  • Adelaja, Adesoji
  • McKeown, Charles
  • Calnin, Benjamin
  • Hailu, Yohannes

Abstract

Quantifying wind potential is a pivotal initial step in developing and articulating a state’s policies and strategies for offshore wind industry development. This is particularly important in the Great Lakes States where lessons from other offshore environments are not directly applicable. This paper presents the framework developed for conducting a preliminary assessment of offshore wind potential. Information on lake bathymetry and wind resources were combined in simulating alternative scenarios of technically feasible turbine construction depths and distance concerns by stakeholders. These yielded estimates of developable offshore wind areas and potential power generation. While concerns about the visibility of turbines from shore reduce the power that can be generated, engineering solutions that increase the depths at which turbines can be sited increase such potential power output. This paper discusses the costs associated with technical limitations on depth and the social costs related to public sentiments about distance from the shoreline, as well as the possible tradeoffs. The results point to a very large untapped energy resource in the Michigan’s Great Lakes, large enough to prompt policy action from the state government.

Suggested Citation

  • Adelaja, Adesoji & McKeown, Charles & Calnin, Benjamin & Hailu, Yohannes, 2012. "Assessing offshore wind potential," Energy Policy, Elsevier, vol. 42(C), pages 191-200.
    • Handle: RePEc:eee:enepol:v:42:y:2012:i:c:p:191-200
    DOI: 10.1016/j.enpol.2011.11.072
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    1. 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.
    2. Adelaja, Soji & Shaw, Judy & Beyea, Wayne & Charles McKeown, J.D., 2010. "Renewable energy potential on brownfield sites: A case study of Michigan," Energy Policy, Elsevier, vol. 38(11), pages 7021-7030, November.
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    2. Dong, Cong & Huang, Guohe (Gordon) & Cheng, Guanhui, 2021. "Offshore wind can power Canada," Energy, Elsevier, vol. 236(C).
    3. Li, Jiale & Yu, Xiong (Bill), 2018. "Onshore and offshore wind energy potential assessment near Lake Erie shoreline: A spatial and temporal analysis," Energy, Elsevier, vol. 147(C), pages 1092-1107.
    4. Waewsak, Jompob & Landry, Mathieu & Gagnon, Yves, 2015. "Offshore wind power potential of the Gulf of Thailand," Renewable Energy, Elsevier, vol. 81(C), pages 609-626.
    5. 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.
    6. Zountouridou, E.I. & Kiokes, G.C. & Chakalis, S. & Georgilakis, P.S. & Hatziargyriou, N.D., 2015. "Offshore floating wind parks in the deep waters of Mediterranean Sea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 433-448.
    7. Jessica Kersey & Natalie D. Popovich & Amol A. Phadke, 2022. "Rapid battery cost declines accelerate the prospects of all-electric interregional container shipping," Nature Energy, Nature, vol. 7(7), pages 664-674, July.
    8. Rohan Zafar Butt & Syed Ali Abbas Kazmi & Mohammed Alghassab & Zafar A. Khan & Abdullah Altamimi & Muhammad Imran & Fahad F. Alruwaili, 2022. "Techno-Economic and Environmental Impact Analysis of Large-Scale Wind Farms Integration in Weak Transmission Grid from Mid-Career Repowering Perspective," Sustainability, MDPI, vol. 14(5), pages 1-31, February.
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    10. Dhunny, A.Z. & Timmons, D.S. & Allam, Z. & Lollchund, M.R. & Cunden, T.S.M., 2020. "An economic assessment of near-shore wind farm development using a weather research forecast-based genetic algorithm model," Energy, Elsevier, vol. 201(C).
    11. Senthilkumar Subramanian & Chandramohan Sankaralingam & Rajvikram Madurai Elavarasan & Raghavendra Rajan Vijayaraghavan & Kannadasan Raju & Lucian Mihet-Popa, 2021. "An Evaluation on Wind Energy Potential Using Multi-Objective Optimization Based Non-Dominated Sorting Genetic Algorithm III," Sustainability, MDPI, vol. 13(1), pages 1-29, January.
    12. Dimitra G. Vagiona & Manos Kamilakis, 2018. "Sustainable Site Selection for Offshore Wind Farms in the South Aegean—Greece," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    13. Sylvester Stallone Pereira de Azevedo & Amaro Olimpio Pereira Junior & Neilton Fidelis da Silva & Renato Samuel Barbosa de Araújo & Antonio Aldísio Carlos Júnior, 2020. "Assessment of Offshore Wind Power Potential along the Brazilian Coast," Energies, MDPI, vol. 13(10), pages 1-24, May.

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