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Temporal-spatial distribution of wave energy: A case study of Beibu Gulf, China

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  • Zhou, Guoqing
  • Huang, Jingjin
  • Yue, Tao
  • Luo, Qingli
  • Zhang, Guangyun

Abstract

This paper develops the temporal-spatial distribution of wave energy at the Beibu Gulf at a monthly, seasonal, and annual base using the Simulated WAves Nearshore (SWAN) model, which is called third generation wave prediction model. The model is forced with the ECMWF ERA Interim wind field data covering 34 years at a time interval of 6 h. Wave parameters, including significant wave height (Hs), peak wave period (Tp), and wave direction (θ) are simulated by SWAN model. Simulated data are validated against the altimeter data using Bias, MSE, and R, and the validation results show that the simulated data can effectively be used to calculate the wave energy in Beibu Gulf. This paper highlights the temporal-spatial distributions of monthly, seasonal, and annual of wave energy. The results reveal that (1) the wave energy propagations in inner waters are dominantly along northeast and west-northwest; (2) the high-energy areas are located at the middle and the southern Beibu Gulf; (3) the biggest monthly wave energy is from January through March with approximately 2.5 kW/m, and the biggest seasonal wave energy is from winter through spring with approximately 1.7 kW/m, and the biggest annual wave energy is about 1.5 kW/m. Additionally, the quantitative analysis, in which the total storage of wave energy vs. the percentage of wave energy greater than 2 kW/m is mapped at a 0.5° × 0.5° grid, identifies those grids used for wave energy convertor deployment. Finally some suggestions are drawn up for decision-makers of the local government.

Suggested Citation

  • Zhou, Guoqing & Huang, Jingjin & Yue, Tao & Luo, Qingli & Zhang, Guangyun, 2015. "Temporal-spatial distribution of wave energy: A case study of Beibu Gulf, China," Renewable Energy, Elsevier, vol. 74(C), pages 344-356.
    • Handle: RePEc:eee:renene:v:74:y:2015:i:c:p:344-356
    DOI: 10.1016/j.renene.2014.08.014
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    as
    1. Hughes, Michael G. & Heap, Andrew D., 2010. "National-scale wave energy resource assessment for Australia," Renewable Energy, Elsevier, vol. 35(8), pages 1783-1791.
    2. Saket, A. & Etemad-Shahidi, A., 2012. "Wave energy potential along the northern coasts of the Gulf of Oman, Iran," Renewable Energy, Elsevier, vol. 40(1), pages 90-97.
    3. Kim, Gunwoo & Jeong, Weon Mu & Lee, Kwang Soo & Jun, Kicheon & Lee, Myung Eun, 2011. "Offshore and nearshore wave energy assessment around the Korean Peninsula," Energy, Elsevier, vol. 36(3), pages 1460-1469.
    4. Iglesias, G. & Carballo, R., 2009. "Wave energy potential along the Death Coast (Spain)," Energy, Elsevier, vol. 34(11), pages 1963-1975.
    5. Liberti, Luca & Carillo, Adriana & Sannino, Gianmaria, 2013. "Wave energy resource assessment in the Mediterranean, the Italian perspective," Renewable Energy, Elsevier, vol. 50(C), pages 938-949.
    6. Rusu, Liliana & Guedes Soares, C., 2012. "Wave energy assessments in the Azores islands," Renewable Energy, Elsevier, vol. 45(C), pages 183-196.
    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. Arinaga, Randi A. & Cheung, Kwok Fai, 2012. "Atlas of global wave energy from 10 years of reanalysis and hindcast data," Renewable Energy, Elsevier, vol. 39(1), pages 49-64.
    9. Rusu, Eugen & Onea, Florin, 2013. "Evaluation of the wind and wave energy along the Caspian Sea," Energy, Elsevier, vol. 50(C), pages 1-14.
    10. Stopa, Justin E. & Filipot, Jean-François & Li, Ning & Cheung, Kwok Fai & Chen, Yi-Leng & Vega, Luis, 2013. "Wave energy resources along the Hawaiian Island chain," Renewable Energy, Elsevier, vol. 55(C), pages 305-321.
    11. Stopa, Justin E. & Cheung, Kwok Fai & Chen, Yi-Leng, 2011. "Assessment of wave energy resources in Hawaii," Renewable Energy, Elsevier, vol. 36(2), pages 554-567.
    12. Rusu, Eugen & Guedes Soares, C., 2012. "Wave energy pattern around the Madeira Islands," Energy, Elsevier, vol. 45(1), pages 771-785.
    13. Defne, Zafer & Haas, Kevin A. & Fritz, Hermann M., 2009. "Wave power potential along the Atlantic coast of the southeastern USA," Renewable Energy, Elsevier, vol. 34(10), pages 2197-2205.
    14. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2014. "Wave energy conditions in the western French coast," Renewable Energy, Elsevier, vol. 62(C), pages 155-163.
    15. 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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    7. Kamranzad, Bahareh & Etemad-Shahidi, Amir & Chegini, Vahid, 2016. "Sustainability of wave energy resources in southern Caspian Sea," Energy, Elsevier, vol. 97(C), pages 549-559.
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