IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v43y2015icp381-387.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032114009307
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2014.11.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    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. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Ke & Zhang, Jianjun & Cai, Bofeng & Yu, Shengmin, 2019. "Emission factors of fugitive methane from underground coal mines in China: Estimation and uncertainty," Applied Energy, Elsevier, vol. 250(C), pages 273-282.
    2. Li, Y.L. & Chen, B. & Chen, G.Q., 2020. "Carbon network embodied in international trade: Global structural evolution and its policy implications," Energy Policy, Elsevier, vol. 139(C).
    3. Hadadpour, Sanaz & Etemad-Shahidi, Amir & Jabbari, Ebrahim & Kamranzad, Bahareh, 2014. "Wave energy and hot spots in Anzali port," Energy, Elsevier, vol. 74(C), pages 529-536.
    4. Wu, X.F. & Chen, G.Q., 2018. "Coal use embodied in globalized world economy: From source to sink through supply chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 978-993.
    5. Khojasteh, Danial & Khojasteh, Davood & Kamali, Reza & Beyene, Asfaw & Iglesias, Gregorio, 2018. "Assessment of renewable energy resources in Iran; with a focus on wave and tidal energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2992-3005.
    6. Carballo, R. & Sánchez, M. & Ramos, V. & Fraguela, J.A. & Iglesias, G., 2015. "The intra-annual variability in the performance of wave energy converters: A comparative study in N Galicia (Spain)," Energy, Elsevier, vol. 82(C), pages 138-146.
    7. Felice Arena & Valentina Laface & Giovanni Malara & Alessandra Romolo, 2015. "Estimation of Downtime and of Missed Energy Associated with a Wave Energy Converter by the Equivalent Power Storm Model," Energies, MDPI, vol. 8(10), pages 1-17, October.
    8. Du, Mingxi & Peng, Changhui & Wang, Xiaoge & Chen, Huai & Wang, Meng & Zhu, Qiuan, 2017. "Quantification of methane emissions from municipal solid waste landfills in China during the past decade," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 272-279.
    9. Jahangir, Mohammad Hossein & Mazinani, Mehran, 2020. "Evaluation of the convertible offshore wave energy capacity of the southern strip of the Caspian Sea," Renewable Energy, Elsevier, vol. 152(C), pages 331-346.
    10. Robertson, Bryson & Bailey, Helen & Buckham, Bradley, 2019. "Resource assessment parameterization impact on wave energy converter power production and mooring loads," Applied Energy, Elsevier, vol. 244(C), pages 1-15.
    11. Cuadra, L. & Salcedo-Sanz, S. & Nieto-Borge, J.C. & Alexandre, E. & Rodríguez, G., 2016. "Computational intelligence in wave energy: Comprehensive review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1223-1246.
    12. Wan, Yong & Zheng, Chongwei & Li, Ligang & Dai, Yongshou & Esteban, M. Dolores & López-Gutiérrez, José-Santos & Qu, Xiaojun & Zhang, Xiaoyu, 2020. "Wave energy assessment related to wave energy convertors in the coastal waters of China," Energy, Elsevier, vol. 202(C).
    13. Zhang, L.X. & Wang, C.B. & Bahaj, A.S., 2014. "Carbon emissions by rural energy in China," Renewable Energy, Elsevier, vol. 66(C), pages 641-649.
    14. Chen, Yilin & Shen, Huizhong & Zhong, Qirui & Chen, Han & Huang, Tianbo & Liu, Junfeng & Cheng, Hefa & Zeng, Eddy Y. & Smith, Kirk R. & Tao, Shu, 2016. "Transition of household cookfuels in China from 2010 to 2012," Applied Energy, Elsevier, vol. 184(C), pages 800-809.
    15. Khojasteh, Danial & Kamali, Reza, 2016. "Evaluation of wave energy absorption by heaving point absorbers at various hot spots in Iran seas," Energy, Elsevier, vol. 109(C), pages 629-640.
    16. Sanil Kumar, V. & Anoop, T.R., 2015. "Wave energy resource assessment for the Indian shelf seas," Renewable Energy, Elsevier, vol. 76(C), pages 212-219.
    17. Sun, Zuo-Yu & Li, Guo-Xiu, 2015. "On reliability and flexibility of sustainable energy application route for vehicles in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 830-846.
    18. Astariz, S. & Perez-Collazo, C. & Abanades, J. & Iglesias, G., 2015. "Co-located wave-wind farms: Economic assessment as a function of layout," Renewable Energy, Elsevier, vol. 83(C), pages 837-849.
    19. Lu, Hongfang & Xu, FengYing & Liu, Hongxiao & Wang, Jun & Campbell, Daniel E. & Ren, Hai, 2019. "Emergy-based analysis of the energy security of China," Energy, Elsevier, vol. 181(C), pages 123-135.
    20. Yuan, Zhiyi & Ou, Xunmin & Peng, Tianduo & Yan, Xiaoyu, 2019. "Life cycle greenhouse gas emissions of multi-pathways natural gas vehicles in china considering methane leakage," Applied Energy, Elsevier, vol. 253(C), pages 1-1.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:43:y:2015:i:c:p:381-387. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.