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Numerical modelling of the nearshore wave energy resources of Shandong peninsula, China

Author

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  • Liang, Bingchen
  • Fan, Fei
  • Yin, Zegao
  • Shi, Hongda
  • Lee, Dongyong

Abstract

In the present work, in order to investigate the nearshore wave energy resources, the third-generation wave model SWAN is utilised to simulate wave parameters of the Shandong peninsula in China for 16 years (1996–2011). The wind parameters used to simulate waves are obtained by the Weather Research & Forecasting Model (WRF). The modelling results of wave are validated by observation data. The spatial distributions of significant wave height and wave energy density are analysed under both extreme and mean wave conditions. The wave energy resources of the Chengshantou headland, with the highest wave energy density, the Langyatai headland and the Yellow River Delta are also studied in detail. For the above three sites, the mean month averaged wave energy is investigated, the wave energy resources are characterised in terms of wave state parameters, and wave energy roses are introduced. The values of extreme high and time-averaged nearshore wave energy density are 296 kW/m and 5.1 kW/m respectively.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:57:y:2013:i:c:p:330-338
    DOI: 10.1016/j.renene.2013.01.052
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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. Leijon, Mats & Bernhoff, Hans & Berg, Marcus & Ågren, Olov, 2003. "Economical considerations of renewable electric energy production—especially development of wave energy," Renewable Energy, Elsevier, vol. 28(8), pages 1201-1209.
    5. Rusu, Eugen & Guedes Soares, C., 2009. "Numerical modelling to estimate the spatial distribution of the wave energy in the Portuguese nearshore," Renewable Energy, Elsevier, vol. 34(6), pages 1501-1516.
    6. Henfridsson, Urban & Neimane, Viktoria & Strand, Kerstin & Kapper, Robert & Bernhoff, Hans & Danielsson, Oskar & Leijon, Mats & Sundberg, Jan & Thorburn, Karin & Ericsson, Ellerth & Bergman, Karl, 2007. "Wave energy potential in the Baltic Sea and the Danish part of the North Sea, with reflections on the Skagerrak," Renewable Energy, Elsevier, vol. 32(12), pages 2069-2084.
    7. Dunnett, David & Wallace, James S., 2009. "Electricity generation from wave power in Canada," Renewable Energy, Elsevier, vol. 34(1), pages 179-195.
    8. Lanfredi, N.W. & Pousa, J.L. & Mazio, C.A. & Dragani, W.C., 1992. "Wave-power potential along the coast of the province of Buenos Aires, Argentina," Energy, Elsevier, vol. 17(11), pages 997-1006.
    9. Rusu, Liliana & Guedes Soares, C., 2012. "Wave energy assessments in the Azores islands," Renewable Energy, Elsevier, vol. 45(C), pages 183-196.
    10. Iglesias, G. & López, M. & Carballo, R. & Castro, A. & Fraguela, J.A. & Frigaard, P., 2009. "Wave energy potential in Galicia (NW Spain)," Renewable Energy, Elsevier, vol. 34(11), pages 2323-2333.
    11. Iglesias, G. & Carballo, R., 2010. "Wave energy resource in the Estaca de Bares area (Spain)," Renewable Energy, Elsevier, vol. 35(7), pages 1574-1584.
    12. 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.
    13. Sivaramakrishnan, T.R., 1992. "Wave power over the indian seas during the southwest monsoon season," Energy, Elsevier, vol. 17(6), pages 625-627.
    14. 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.
    15. Clément, Alain & McCullen, Pat & Falcão, António & Fiorentino, Antonio & Gardner, Fred & Hammarlund, Karin & Lemonis, George & Lewis, Tony & Nielsen, Kim & Petroncini, Simona & Pontes, M. -Teresa & Sc, 2002. "Wave energy in Europe: current status and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(5), pages 405-431, October.
    16. Bernhoff, Hans & Sjöstedt, Elisabeth & Leijon, Mats, 2006. "Wave energy resources in sheltered sea areas: A case study of the Baltic Sea," Renewable Energy, Elsevier, vol. 31(13), pages 2164-2170.
    17. Folley, M. & Whittaker, T.J.T., 2009. "Analysis of the nearshore wave energy resource," Renewable Energy, Elsevier, vol. 34(7), pages 1709-1715.
    18. 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.
    19. Iglesias, G. & Carballo, R., 2010. "Wave energy and nearshore hot spots: The case of the SE Bay of Biscay," Renewable Energy, Elsevier, vol. 35(11), pages 2490-2500.
    20. Waters, Rafael & Engström, Jens & Isberg, Jan & Leijon, Mats, 2009. "Wave climate off the Swedish west coast," Renewable Energy, Elsevier, vol. 34(6), pages 1600-1606.
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