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Dynamic self-adjusting classification for global wave energy resources under different requirements

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  • Zheng, Chong-wei

Abstract

This study designs a wave energy classification scheme that comprehensively considers energy, environmental risk and cost factors. Furthermore, by rationally adjusting, adding or deleting the weights of related parameters, a dynamic self-adjusting energy classification under different requirements is proposed to satisfy different wave energy projects or equipments. A global ocean wave energy classification is performed as a case study. According to the results, the global wave energy classes are generally optimistic, and most of the global ocean is energy-rich. The regional differences in the wave energy classes obtained by the new scheme are obvious compared to those obtained by the traditional scheme. Significant differences in the wave energy classification results are observed under different requirements. The extents of energy-poor areas in the global ocean are the smallest when focusing on cost factors and the largest when focusing on resource output. The extents of energy-rich regions above class 6 are the widest when focusing on self-sufficiency and the smallest when considering cost factors. Regardless of the demand, the energy classes in the Southern Hemisphere are always higher than those in the Northern Hemisphere, and those in the eastern ocean regions are always higher than those in the western parts.

Suggested Citation

  • Zheng, Chong-wei, 2021. "Dynamic self-adjusting classification for global wave energy resources under different requirements," Energy, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:energy:v:236:y:2021:i:c:s0360544221017734
    DOI: 10.1016/j.energy.2021.121525
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    1. Iglesias, G. & Carballo, R., 2011. "Choosing the site for the first wave farm in a region: A case study in the Galician Southwest (Spain)," Energy, Elsevier, vol. 36(9), pages 5525-5531.
    2. Glendenning, I., 1977. "Ocean wave power," Applied Energy, Elsevier, vol. 3(3), pages 197-222, July.
    3. Martinez, A. & Iglesias, G., 2020. "Wave exploitability index and wave resource classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    4. Liang, Bingchen & Fan, Fei & Yin, Zegao & Shi, Hongda & Lee, Dongyong, 2013. "Numerical modelling of the nearshore wave energy resources of Shandong peninsula, China," Renewable Energy, Elsevier, vol. 57(C), pages 330-338.
    5. Reguero, B.G. & Losada, I.J. & Méndez, F.J., 2015. "A global wave power resource and its seasonal, interannual and long-term variability," Applied Energy, Elsevier, vol. 148(C), pages 366-380.
    6. Iglesias, G. & Carballo, R., 2010. "Offshore and inshore wave energy assessment: Asturias (N Spain)," Energy, Elsevier, vol. 35(5), pages 1964-1972.
    7. Iglesias, G. & Carballo, R., 2010. "Wave energy resource in the Estaca de Bares area (Spain)," Renewable Energy, Elsevier, vol. 35(7), pages 1574-1584.
    8. Fairley, Iain & Lewis, Matthew & Robertson, Bryson & Hemer, Mark & Masters, Ian & Horrillo-Caraballo, Jose & Karunarathna, Harshinie & Reeve, Dominic E., 2020. "A classification system for global wave energy resources based on multivariate clustering," Applied Energy, Elsevier, vol. 262(C).
    9. Gunn, Kester & Stock-Williams, Clym, 2012. "Quantifying the global wave power resource," Renewable Energy, Elsevier, vol. 44(C), pages 296-304.
    Full references (including those not matched with items on IDEAS)

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