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Offshore wind farm site selection study around Jeju Island, South Korea

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  • Kim, Taeyun
  • Park, Jeong-Il
  • Maeng, Junho

Abstract

This study suggests strategies for conducting an offshore wind farm site selection and evaluates feasible offshore wind farm sites in the coastal areas of Jeju Island, South Korea. The site selection criteria are classified into four categories: energy resources and economics, conservation areas and landscape protection, human activities, and the marine environment and marine ecology. We used marine spatial techniques from GIS and the investigated resources available in the country. The results indicate that offshore wind farms can be located along a wide range of the eastern and western coasts of Jeju Island, considering energy resources and economics only. However, when considering the four categories presented in this study, the number of feasible offshore wind farm sites was significantly less than when only energy resources and economics were considered. The data and analysis presented in this study will be useful for the offshore wind farm site selection around Jeju Island, and it will also contribute to minimizing the environmental impacts and reducing the social conflicts between stakeholders.

Suggested Citation

  • Kim, Taeyun & Park, Jeong-Il & Maeng, Junho, 2016. "Offshore wind farm site selection study around Jeju Island, South Korea," Renewable Energy, Elsevier, vol. 94(C), pages 619-628.
    • Handle: RePEc:eee:renene:v:94:y:2016:i:c:p:619-628
    DOI: 10.1016/j.renene.2016.03.083
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    References listed on IDEAS

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    1. Ming, Zeng & Ximei, Liu & Yulong, Li & Lilin, Peng, 2014. "Review of renewable energy investment and financing in China: Status, mode, issues and countermeasures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 23-37.
    2. Hong, Lixuan & Möller, Bernd, 2011. "Offshore wind energy potential in China: Under technical, spatial and economic constraints," Energy, Elsevier, vol. 36(7), pages 4482-4491.
    3. Schillings, Christoph & Wanderer, Thomas & Cameron, Lachlan & van der Wal, Jan Tjalling & Jacquemin, Jerome & Veum, Karina, 2012. "A decision support system for assessing offshore wind energy potential in the North Sea," Energy Policy, Elsevier, vol. 49(C), pages 541-551.
    4. Punt, Maarten J. & Groeneveld, Rolf A. & van Ierland, Ekko C. & Stel, Jan H., 2009. "Spatial planning of offshore wind farms: A windfall to marine environmental protection?," Ecological Economics, Elsevier, vol. 69(1), pages 93-103, November.
    5. Kim, Gunwoo & Lee, Myung Eun & Lee, Kwang Soo & Park, Jin-Soon & Jeong, Weon Mu & Kang, Sok Kuh & Soh, Jae-Gwi & Kim, Hanna, 2012. "An overview of ocean renewable energy resources in Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2278-2288.
    6. Gullberg, Anne Therese & Ohlhorst, Dörte & Schreurs, Miranda, 2014. "Towards a low carbon energy future – Renewable energy cooperation between Germany and Norway," Renewable Energy, Elsevier, vol. 68(C), pages 216-222.
    7. Yue, Cheng-Dar & Yang, Min-How, 2009. "Exploring the potential of wind energy for a coastal state," Energy Policy, Elsevier, vol. 37(10), pages 3925-3940, October.
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