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Variation of the wave energy and significant wave height in the China Sea and adjacent waters

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  • Zheng, Chong Wei
  • Li, Chong Yin

Abstract

Given the current background of ongoing environmental and resource issues, the increased exploitation of clean and renewable energy could help to alleviate the energy crisis, as well as contributing to emissions reduction and environmental protection, and so promote future sustainable development. This study explores to reveal the climatic long term trends of the China Sea wave power and significant wave height (SWH) for the period 1988–2011, using a WAVEWATCH-III (WW3) hindcast wave data. The regional difference and seasonal difference of the variation are also presented firstly. Results show that, (1) The China Sea exhibits a significant overall increasing trend in the wave power density (0.2012 (kW/m)/yr) and the SWH (1.52cm/yr) for the period 1988 to 2011. (2) There is a noticeable increasing trend in most parts of the China Sea, of 0.1–0.7 (kW/m)/yr in wave power density and 0.5–4.5cm/yr in SWH. Areas with strong increasing trend distribute in the Ryukyu Islands waters, Taiwan Strait and north of the South China Sea (SCS), especially in the Dongsha Islands waters. (3) There is a noticeable seasonal difference in the variation of both SWH and wave power density. The variation in different waters is dominated by the different seasons. The increasing trend of SWH in DJF and MAM is obviously stronger than that in JJA and SON. The increasing trend of wave power density in DJF is stronger than that in other seasons.

Suggested Citation

  • Zheng, Chong Wei & Li, Chong Yin, 2015. "Variation of the wave energy and significant wave height in the China Sea and adjacent waters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 381-387.
    • Handle: RePEc:eee:rensus:v:43:y:2015:i:c:p:381-387
    DOI: 10.1016/j.rser.2014.11.001
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    References listed on IDEAS

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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. Saidur, R. & Islam, M.R. & Rahim, N.A. & Solangi, K.H., 2010. "A review on global wind energy policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1744-1762, September.
    3. Rashid, Ali & Hasanzadeh, Smaeyl, 2011. "Status and potentials of offshore wave energy resources in Chahbahar area (NW Omman Sea)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4876-4883.
    4. Liu, Wen & Lund, Henrik & Mathiesen, Brian Vad & Zhang, Xiliang, 2011. "Potential of renewable energy systems in China," Applied Energy, Elsevier, vol. 88(2), pages 518-525, February.
    5. Zhang, Bo & Chen, G.Q., 2014. "Methane emissions in China 2007," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 886-902.
    6. Zhang, Bo & Chen, G.Q. & Li, J.S. & Tao, L., 2014. "Methane emissions of energy activities in China 1980–2007," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 11-21.
    7. Akpınar, Adem & Kömürcü, Murat İhsan, 2013. "Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data," Applied Energy, Elsevier, vol. 101(C), pages 502-512.
    8. Lenee-Bluhm, Pukha & Paasch, Robert & Özkan-Haller, H. Tuba, 2011. "Characterizing the wave energy resource of the US Pacific Northwest," Renewable Energy, Elsevier, vol. 36(8), pages 2106-2119.
    Full references (including those not matched with items on IDEAS)

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