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Study on the wave climate variation to the renewable wave energy assessment

Author

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  • Ching-Piao, Tsai
  • Ching-Her, Hwang
  • Chien, Hwa
  • Hao-Yuan, Cheng

Abstract

To reduce the dependence on fossil fuel and imported energy resources, Taiwan has ever-increasing needs of renewable energy. With the rapid development of the technologies of wave energy converter, the wave energy source will be able to meet parts the demand. The Energy Research Laboratories of the Industrial Technology Research Institute, Taiwan (2005), based on the statistic of one-year wave data, stated that the mean wave energy at the northeast coast of Taiwan reaches 11.56 kW/m, giving it the potential of wave power utilization. However, one of the major obstacles with the wave energy utilization is lack of long-term ocean wave measurements. The long-term variations in wave parameters impose changes in wave energy converter outputs. Lack of long-term data makes it difficult to assess the cost-benefit of wave energy conversion projects for the policy and decision makers.

Suggested Citation

  • Ching-Piao, Tsai & Ching-Her, Hwang & Chien, Hwa & Hao-Yuan, Cheng, 2012. "Study on the wave climate variation to the renewable wave energy assessment," Renewable Energy, Elsevier, vol. 38(1), pages 50-61.
    • Handle: RePEc:eee:renene:v:38:y:2012:i:1:p:50-61
    DOI: 10.1016/j.renene.2011.06.041
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    References listed on IDEAS

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    1. Kerry Emanuel, 2005. "Increasing destructiveness of tropical cyclones over the past 30 years," Nature, Nature, vol. 436(7051), pages 686-688, August.
    2. Retzler, Chris, 2006. "Measurements of the slow drift dynamics of a model Pelamis wave energy converter," Renewable Energy, Elsevier, vol. 31(2), pages 257-269.
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    Cited by:

    1. Aboobacker, V.M. & Shanas, P.R. & Alsaafani, M.A. & Albarakati, Alaa M.A., 2017. "Wave energy resource assessment for Red Sea," Renewable Energy, Elsevier, vol. 114(PA), pages 46-58.
    2. Mirzaei, Ali & Tangang, Fredolin & Juneng, Liew, 2015. "Wave energy potential assessment in the central and southern regions of the South China Sea," Renewable Energy, Elsevier, vol. 80(C), pages 454-470.
    3. Shadman, Milad & Estefen, Segen F. & Rodriguez, Claudio A. & Nogueira, Izabel C.M., 2018. "A geometrical optimization method applied to a heaving point absorber wave energy converter," Renewable Energy, Elsevier, vol. 115(C), pages 533-546.
    4. Aboobacker, V.M., 2017. "Wave energy resource assessment for eastern Bay of Bengal and Malacca Strait," Renewable Energy, Elsevier, vol. 114(PA), pages 72-84.
    5. Kovaleva, Olga & Eelsalu, Maris & Soomere, Tarmo, 2017. "Hot-spots of large wave energy resources in relatively sheltered sections of the Baltic Sea coast," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 424-437.
    6. 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.
    7. Fadaeenejad, M. & Shamsipour, R. & Rokni, S.D. & Gomes, C., 2014. "New approaches in harnessing wave energy: With special attention to small islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 345-354.
    8. Soomere, Tarmo & Eelsalu, Maris, 2014. "On the wave energy potential along the eastern Baltic Sea coast," Renewable Energy, Elsevier, vol. 71(C), pages 221-233.
    9. Zhou, Guoqing & Huang, Jingjin & Zhang, Guangyun, 2015. "Evaluation of the wave energy conditions along the coastal waters of Beibu Gulf, China," Energy, Elsevier, vol. 85(C), pages 449-457.
    10. Mirzaei, Ali & Tangang, Fredolin & Juneng, Liew, 2014. "Wave energy potential along the east coast of Peninsular Malaysia," Energy, Elsevier, vol. 68(C), pages 722-734.

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