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Exploring the potential of wind energy for a coastal state

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  • Yue, Cheng-Dar
  • Yang, Min-How

Abstract

Adequate recognition of the wind energy potential of coastal states may have far-reaching effects on the development of the energy systems of these countries. This study evaluates wind energy resources in Taiwan with the aid of a geographic information system (GIS), which allows local potentials and restrictions such as climate conditions, land uses, and ecological environments to be considered. The findings unveiled in this study suggest a significant role for offshore wind energy resources, which may constitute between 94% and 98% of overall wind resources in Taiwan. Total power yield from wind energy could reach between 150 and 165 TWh, which would have, respectively, accounted for between 62% and 68% of Taiwan's total power generation of 243 TWh in 2007. Based on the Taiwan's current emission factor of electricity, wind energy has the potential to reduce CO2 emissions by between 94 and 102 million ton per year in Taiwan, which is, respectively, equivalent to 28% and 31% of the national net equivalent CO2 emissions released in 2002. However, the challenge of managing the variability of wind power has to be addressed before the considerable contribution of wind energy to domestic energy supply and CO2 reduction can be realized.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:enepol:v:37:y:2009:i:10:p:3925-3940
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    1. Elsner, Paul & Suarez, Suzette, 2019. "Renewable energy from the high seas: Geo-spatial modelling of resource potential and legal implications for developing offshore wind projects beyond the national jurisdiction of coastal States," Energy Policy, Elsevier, vol. 128(C), pages 919-929.
    2. Yeo, In-Ae & Yee, Jurng-Jae, 2014. "A proposal for a site location planning model of environmentally friendly urban energy supply plants using an environment and energy geographical information system (E-GIS) database (DB) and an artifi," Applied Energy, Elsevier, vol. 119(C), pages 99-117.
    3. Russell McKenna & Stefan Pfenninger & Heidi Heinrichs & Johannes Schmidt & Iain Staffell & Katharina Gruber & Andrea N. Hahmann & Malte Jansen & Michael Klingler & Natascha Landwehr & Xiaoli Guo Lars', 2021. "Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments," Papers 2103.09781, arXiv.org.
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    5. Dong, Cong & Huang, Guohe (Gordon) & Cheng, Guanhui, 2021. "Offshore wind can power Canada," Energy, Elsevier, vol. 236(C).
    6. Kao, Shih-Ming & Pearre, Nathaniel S., 2017. "Administrative arrangement for offshore wind power developments in Taiwan: Challenges and prospects," Energy Policy, Elsevier, vol. 109(C), pages 463-472.
    7. 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.
    8. Watts, David & Oses, Nicolás & Pérez, Rodrigo, 2016. "Assessment of wind energy potential in Chile: A project-based regional wind supply function approach," Renewable Energy, Elsevier, vol. 96(PA), pages 738-755.
    9. 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.
    10. Yue, Cheng-Dar & Huang, Guo-Rong, 2011. "An evaluation of domestic solar energy potential in Taiwan incorporating land use analysis," Energy Policy, Elsevier, vol. 39(12), pages 7988-8002.
    11. Díaz, H. & Guedes Soares, C., 2020. "An integrated GIS approach for site selection of floating offshore wind farms in the Atlantic continental European coastline," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    12. Langer, Jannis & Zaaijer, Michiel & Quist, Jaco & Blok, Kornelis, 2023. "Introducing site selection flexibility to technical and economic onshore wind potential assessments: New method with application to Indonesia," Renewable Energy, Elsevier, vol. 202(C), pages 320-335.
    13. Deveci, Muhammet & Cali, Umit & Kucuksari, Sadik & Erdogan, Nuh, 2020. "Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland," Energy, Elsevier, vol. 198(C).
    14. McKenna, Russell & Pfenninger, Stefan & Heinrichs, Heidi & Schmidt, Johannes & Staffell, Iain & Bauer, Christian & Gruber, Katharina & Hahmann, Andrea N. & Jansen, Malte & Klingler, Michael & Landwehr, 2022. "High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs," Renewable Energy, Elsevier, vol. 182(C), pages 659-684.
    15. Fueyo, Norberto & Sanz, Yosune & Rodrigues, Marcos & Montañés, Carlos & Dopazo, César, 2011. "The use of cost-generation curves for the analysis of wind electricity costs in Spain," Applied Energy, Elsevier, vol. 88(3), pages 733-740, March.
    16. Gil-García, Isabel C. & Ramos-Escudero, Adela & García-Cascales, M.S. & Dagher, Habib & Molina-García, A., 2022. "Fuzzy GIS-based MCDM solution for the optimal offshore wind site selection: The Gulf of Maine case," Renewable Energy, Elsevier, vol. 183(C), pages 130-147.
    17. Yue, Cheng-Dar & Chen, Chung-Sheng & Lee, Yu-Chen, 2016. "Integration of optimal combinations of renewable energy sources into the energy supply of Wang-An Island," Renewable Energy, Elsevier, vol. 86(C), pages 930-942.
    18. Cheng-Dar Yue & I-Chun Wang & Jhou-Sheng Huang, 2022. "Feasibility of Replacing Nuclear and Fossil Fuel Energy with Offshore Wind Energy: A Case for Taiwan," Energies, MDPI, vol. 15(7), pages 1-20, March.
    19. Wu, Yuan-Kang & Han, Gia-Yo & Lee, Ching-Yin, 2013. "Planning 10 onshore wind farms with corresponding interconnection network and power system analysis for low-carbon-island development on Penghu Island, Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 531-540.
    20. Elsner, Paul, 2019. "Continental-scale assessment of the African offshore wind energy potential: Spatial analysis of an under-appreciated renewable energy resource," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 394-407.
    21. 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.
    22. 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.
    23. Peters, Jared L. & Remmers, Tiny & Wheeler, Andrew J. & Murphy, Jimmy & Cummins, Valerie, 2020. "A systematic review and meta-analysis of GIS use to reveal trends in offshore wind energy research and offer insights on best practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    24. Sofia Spyridonidou & Dimitra G. Vagiona & Eva Loukogeorgaki, 2020. "Strategic Planning of Offshore Wind Farms in Greece," Sustainability, MDPI, vol. 12(3), pages 1-20, January.

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