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Numerical study to estimate the wave energy under Wave-Current Interaction in the Qingdao coast, China

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  • Liang, Bingchen
  • Shao, Zhuxiao
  • Wu, Yajie
  • Shi, Hongda
  • Liu, Zhen

Abstract

The purpose of this study is to characterize how the Wave-Current Interaction (WCI) at a specific location modifies the wave energy available for conversion. In this work, a third generation spectral model MIKE21 SW (version 2014) is utilized to investigate the wave energy resources under WCI in the Qingdao coast. This model can directly calculate the wave power in terms of the wave spectrum, which improves the accuracy of the wave energy estimation, especially in the nearshore zones. Here, the models run for coupled (waves and currents) and uncoupled (only waves) modes over the whole year of 2014 with the same model setup, except the tide currents setting. The results indicate that the annual mean differences between coupled and uncoupled models are mainly occurred in the nearshore zones, varying up to 100% when the WCI effect is neglected. Further investigations reveal that those differences can be attributed to the tidal level, the strength of currents and the relative wave direction, which may cause underestimation or overestimation of the wave energy resources. This work confirmed that the WCI should be considered when performing estimation of the wave energy resources in the shallow nearshore zones with macro tidal range and current.

Suggested Citation

  • Liang, Bingchen & Shao, Zhuxiao & Wu, Yajie & Shi, Hongda & Liu, Zhen, 2017. "Numerical study to estimate the wave energy under Wave-Current Interaction in the Qingdao coast, China," Renewable Energy, Elsevier, vol. 101(C), pages 845-855.
    • Handle: RePEc:eee:renene:v:101:y:2017:i:c:p:845-855
    DOI: 10.1016/j.renene.2016.09.015
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    1. 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.
    2. Hashemi, M. Reza & Grilli, Stéphan T. & Neill, Simon P., 2016. "A simplified method to estimate tidal current effects on the ocean wave power resource," Renewable Energy, Elsevier, vol. 96(PA), pages 257-269.
    3. 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.
    4. Neill, Simon P. & Lewis, Matt J. & Hashemi, M. Reza & Slater, Emma & Lawrence, John & Spall, Steven A., 2014. "Inter-annual and inter-seasonal variability of the Orkney wave power resource," Applied Energy, Elsevier, vol. 132(C), pages 339-348.
    5. Wang, Zhifeng & Dong, Sheng & Li, Xue & Guedes Soares, C., 2016. "Assessments of wave energy in the Bohai Sea, China," Renewable Energy, Elsevier, vol. 90(C), pages 145-156.
    6. Neill, Simon P. & Hashemi, M. Reza, 2013. "Wave power variability over the northwest European shelf seas," Applied Energy, Elsevier, vol. 106(C), pages 31-46.
    7. 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.
    8. 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.
    9. Dunnett, David & Wallace, James S., 2009. "Electricity generation from wave power in Canada," Renewable Energy, Elsevier, vol. 34(1), pages 179-195.
    10. Rusu, Liliana & Guedes Soares, C., 2012. "Wave energy assessments in the Azores islands," Renewable Energy, Elsevier, vol. 45(C), pages 183-196.
    11. 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.
    12. Ayat, Berna, 2013. "Wave power atlas of Eastern Mediterranean and Aegean Seas," Energy, Elsevier, vol. 54(C), pages 251-262.
    13. 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.
    14. Liang, Bingchen & Fan, Fei & Liu, Fushun & Gao, Shanhong & Zuo, Hongyan, 2014. "22-Year wave energy hindcast for the China East Adjacent Seas," Renewable Energy, Elsevier, vol. 71(C), pages 200-207.
    15. Barbariol, Francesco & Benetazzo, Alvise & Carniel, Sandro & Sclavo, Mauro, 2013. "Improving the assessment of wave energy resources by means of coupled wave-ocean numerical modeling," Renewable Energy, Elsevier, vol. 60(C), pages 462-471.
    16. Wu, Shuping & Liu, Chuanyu & Chen, Xinping, 2015. "Offshore wave energy resource assessment in the East China Sea," Renewable Energy, Elsevier, vol. 76(C), pages 628-636.
    17. Yaakob, Omar & Hashim, Farah Ellyza & Mohd Omar, Kamaludin & Md Din, Ami Hassan & Koh, Kho King, 2016. "Satellite-based wave data and wave energy resource assessment for South China Sea," Renewable Energy, Elsevier, vol. 88(C), pages 359-371.
    18. Folley, M. & Whittaker, T.J.T., 2009. "Analysis of the nearshore wave energy resource," Renewable Energy, Elsevier, vol. 34(7), pages 1709-1715.
    19. Rusu, Eugen & Guedes Soares, C., 2013. "Coastal impact induced by a Pelamis wave farm operating in the Portuguese nearshore," Renewable Energy, Elsevier, vol. 58(C), pages 34-49.
    20. Hashemi, M. Reza & Neill, Simon P., 2014. "The role of tides in shelf-scale simulations of the wave energy resource," Renewable Energy, Elsevier, vol. 69(C), pages 300-310.
    21. 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.
    22. 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.
    23. 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.
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    2. Hong, Ji-Seok & Moon, Jae-Hong & Kim, Taekyun & Cho, Il-Hyoung & Choi, Jongsu & Park, Ji Yong, 2021. "Response of wave energy to tidal currents in the western sea of Jeju Island, Korea," Renewable Energy, Elsevier, vol. 172(C), pages 564-573.
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    5. Shao, Zhuxiao & Gao, Huijun & Liang, Bingchen & Lee, Dongyoung, 2022. "Potential, trend and economic assessments of global wave power," Renewable Energy, Elsevier, vol. 195(C), pages 1087-1102.

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