IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v169y2021icp843-854.html
   My bibliography  Save this article

Global oceanic wave energy resource dataset—with the Maritime Silk Road as a case study

Author

Listed:
  • Zheng, Chong-wei

Abstract

Construction of wave energy resource dataset (WERD) is the key base for achieving rational and efficient utilization of wave energy, which is beneficial for easing the energy crisis and protecting the fragile marine ecological environment. However, the research on the WERD construction is scarce. Even more, the existing WERD mainly contains the traditional focus of wave energy (climatic feature). This study proposed to create a global oceanic WERD, with the Maritime Silk Road as a case study, which comprehensively includes not only the traditional focus of wave energy, but also adds seven new modules: short-term forecast, climatic variation of wave energy, long-term projection of wave energy, wave energy classification, characteristics of swell energy, wave climate characteristics, as well as detailed study of wave energy of key nodes, in hope of providing scientific reference, data service and decision support for the site selection, daily operation and long term plan of wave energy development.

Suggested Citation

  • Zheng, Chong-wei, 2021. "Global oceanic wave energy resource dataset—with the Maritime Silk Road as a case study," Renewable Energy, Elsevier, vol. 169(C), pages 843-854.
    • Handle: RePEc:eee:renene:v:169:y:2021:i:c:p:843-854
    DOI: 10.1016/j.renene.2021.01.058
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148121000653
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2021.01.058?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. Shi, Jing & Guo, Jinmei & Zheng, Songtao, 2012. "Evaluation of hybrid forecasting approaches for wind speed and power generation time series," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3471-3480.
    2. 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.
    3. 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.
    4. Yan, Jie & Liu, Yongqian & Han, Shuang & Qiu, Meng, 2013. "Wind power grouping forecasts and its uncertainty analysis using optimized relevance vector machine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 613-621.
    5. White, Alexander & McTigue, Joshua & Markides, Christos, 2014. "Wave propagation and thermodynamic losses in packed-bed thermal reservoirs for energy storage," Applied Energy, Elsevier, vol. 130(C), pages 648-657.
    6. Reeve, D.E. & Chen, Y. & Pan, S. & Magar, V. & Simmonds, D.J. & Zacharioudaki, A., 2011. "An investigation of the impacts of climate change on wave energy generation: The Wave Hub, Cornwall, UK," Renewable Energy, Elsevier, vol. 36(9), pages 2404-2413.
    7. 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.
    8. Iglesias, G. & Carballo, R., 2010. "Wave energy resource in the Estaca de Bares area (Spain)," Renewable Energy, Elsevier, vol. 35(7), pages 1574-1584.
    9. Pierre Pinson & Henrik Madsen, 2012. "Adaptive modelling and forecasting of offshore wind power fluctuations with Markov‐switching autoregressive models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(4), pages 281-313, July.
    10. Rusu, Eugen & Onea, Florin, 2013. "Evaluation of the wind and wave energy along the Caspian Sea," Energy, Elsevier, vol. 50(C), pages 1-14.
    11. Lavidas, George & Venugopal, Vengatesan, 2018. "Application of numerical wave models at European coastlines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 489-500.
    12. Xiao, Ling & Wang, Jianzhou & Dong, Yao & Wu, Jie, 2015. "Combined forecasting models for wind energy forecasting: A case study in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 271-288.
    13. Ghosh, Soumya & Chakraborty, Tilottama & Saha, Satyabrata & Majumder, Mrinmoy & Pal, Manish, 2016. "Development of the location suitability index for wave energy production by ANN and MCDM techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1017-1028.
    14. 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.
    15. Iglesias, G. & Carballo, R., 2011. "Wave resource in El Hierro—an island towards energy self-sufficiency," Renewable Energy, Elsevier, vol. 36(2), pages 689-698.
    16. Rusu, Eugen & Guedes Soares, C., 2012. "Wave energy pattern around the Madeira Islands," Energy, Elsevier, vol. 45(1), pages 771-785.
    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. Han, Li & Romero, Carlos E. & Yao, Zheng, 2015. "Wind power forecasting based on principle component phase space reconstruction," Renewable Energy, Elsevier, vol. 81(C), pages 737-744.
    19. Debnath, Kumar Biswajit & Mourshed, Monjur, 2018. "Forecasting methods in energy planning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 297-325.
    20. 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.
    21. Salcedo-Sanz, Sancho & Deo, Ravinesh C. & Cornejo-Bueno, Laura & Camacho-Gómez, Carlos & Ghimire, Sujan, 2018. "An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia," Applied Energy, Elsevier, vol. 209(C), pages 79-94.
    22. Iglesias, G. & Carballo, R., 2010. "Offshore and inshore wave energy assessment: Asturias (N Spain)," Energy, Elsevier, vol. 35(5), pages 1964-1972.
    23. Emmanouil, George & Galanis, George & Kalogeri, Christina & Zodiatis, George & Kallos, George, 2016. "10-year high resolution study of wind, sea waves and wave energy assessment in the Greek offshore areas," Renewable Energy, Elsevier, vol. 90(C), pages 399-419.
    24. Carballo, R. & Iglesias, G., 2013. "Wave farm impact based on realistic wave-WEC interaction," Energy, Elsevier, vol. 51(C), pages 216-229.
    25. Widén, Joakim & Carpman, Nicole & Castellucci, Valeria & Lingfors, David & Olauson, Jon & Remouit, Flore & Bergkvist, Mikael & Grabbe, Mårten & Waters, Rafael, 2015. "Variability assessment and forecasting of renewables: A review for solar, wind, wave and tidal resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 356-375.
    26. Zheng, C.W. & Li, C.Y., 2017. "Propagation characteristic and intraseasonal oscillation of the swell energy of the Indian Ocean," Applied Energy, Elsevier, vol. 197(C), pages 342-353.
    27. Gunn, Kester & Stock-Williams, Clym, 2012. "Quantifying the global wave power resource," Renewable Energy, Elsevier, vol. 44(C), pages 296-304.
    28. Langodan, Sabique & Viswanadhapalli, Yesubabu & Dasari, Hari Prasad & Knio, Omar & Hoteit, Ibrahim, 2016. "A high-resolution assessment of wind and wave energy potentials in the Red Sea," Applied Energy, Elsevier, vol. 181(C), pages 244-255.
    29. Chiu, Forng-Chen & Huang, Wen-Yi & Tiao, Wen-Chuan, 2013. "The spatial and temporal characteristics of the wave energy resources around Taiwan," Renewable Energy, Elsevier, vol. 52(C), pages 218-221.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xueyan Li & Zhen Yu & Hengliang Qu & Moyao Yang & Hongyuan Shi & Zhenhua Zhang, 2023. "Experimental Study on the Aerodynamic Performance and Wave Energy Capture Efficiency of Square and Curved OWC Wave Energy Conversion Devices," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    2. Emilio García & Antonio Correcher & Eduardo Quiles & Fernando Tamarit & Francisco Morant, 2022. "Control and Supervision Requirements for Floating Hybrid Generator Systems," IJERPH, MDPI, vol. 19(19), pages 1-22, October.
    3. Fu, Yang & Ying, Feixiang & Huang, Lingling & Liu, Yang, 2023. "Multi-step-ahead significant wave height prediction using a hybrid model based on an innovative two-layer decomposition framework and LSTM," Renewable Energy, Elsevier, vol. 203(C), pages 455-472.
    4. Zheng, Zihao & Ali, Mumtaz & Jamei, Mehdi & Xiang, Yong & Abdulla, Shahab & Yaseen, Zaher Mundher & Farooque, Aitazaz A., 2023. "Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    5. Chongwei Zheng, 2023. "An Overview and Countermeasure of Global Wave Energy Classification," Sustainability, MDPI, vol. 15(12), pages 1-21, June.

    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. Sierra, J.P. & Mösso, C. & González-Marco, D., 2014. "Wave energy resource assessment in Menorca (Spain)," Renewable Energy, Elsevier, vol. 71(C), pages 51-60.
    2. Zheng, Chong Wei & Wang, Qing & Li, Chong Yin, 2017. "An overview of medium- to long-term predictions of global wave energy resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1492-1502.
    3. Morim, Joao & Cartwright, Nick & Etemad-Shahidi, Amir & Strauss, Darrell & Hemer, Mark, 2016. "Wave energy resource assessment along the Southeast coast of Australia on the basis of a 31-year hindcast," Applied Energy, Elsevier, vol. 184(C), pages 276-297.
    4. Lin, Yifan & Dong, Sheng & Wang, Zhifeng & Guedes Soares, C., 2019. "Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids," Renewable Energy, Elsevier, vol. 136(C), pages 275-295.
    5. Bento, A. Rute & Martinho, Paulo & Guedes Soares, C., 2018. "Wave energy assessement for Northern Spain from a 33-year hindcast," Renewable Energy, Elsevier, vol. 127(C), pages 322-333.
    6. 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.
    7. 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.
    8. 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.
    9. Bingölbali, Bilal & Jafali, Halid & Akpınar, Adem & Bekiroğlu, Serkan, 2020. "Wave energy potential and variability for the south west coasts of the Black Sea: The WEB-based wave energy atlas," Renewable Energy, Elsevier, vol. 154(C), pages 136-150.
    10. Sierra, J.P. & González-Marco, D. & Sospedra, J. & Gironella, X. & Mösso, C. & Sánchez-Arcilla, A., 2013. "Wave energy resource assessment in Lanzarote (Spain)," Renewable Energy, Elsevier, vol. 55(C), pages 480-489.
    11. 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).
    12. Carballo, R. & Sánchez, M. & Ramos, V. & Taveira-Pinto, F. & Iglesias, G., 2014. "A high resolution geospatial database for wave energy exploitation," Energy, Elsevier, vol. 68(C), pages 572-583.
    13. Besio, G. & Mentaschi, L. & Mazzino, A., 2016. "Wave energy resource assessment in the Mediterranean Sea on the basis of a 35-year hindcast," Energy, Elsevier, vol. 94(C), pages 50-63.
    14. Iglesias, G. & Carballo, R., 2014. "Wave farm impact: The role of farm-to-coast distance," Renewable Energy, Elsevier, vol. 69(C), pages 375-385.
    15. 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.
    16. Veigas, M. & López, M. & Iglesias, G., 2014. "Assessing the optimal location for a shoreline wave energy converter," Applied Energy, Elsevier, vol. 132(C), pages 404-411.
    17. James Allen & Konstantinos Sampanis & Jian Wan & Deborah Greaves & Jon Miles & Gregorio Iglesias, 2016. "Laboratory Tests in the Development of WaveCat," Sustainability, MDPI, vol. 8(12), pages 1-12, December.
    18. Sierra, J.P. & Martín, C. & Mösso, C. & Mestres, M. & Jebbad, R., 2016. "Wave energy potential along the Atlantic coast of Morocco," Renewable Energy, Elsevier, vol. 96(PA), pages 20-32.
    19. 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.
    20. Astariz, S. & Iglesias, G., 2015. "The economics of wave energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 397-408.

    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:renene:v:169:y:2021:i:c:p:843-854. 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.journals.elsevier.com/renewable-energy .

    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.