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Assessment of wind and wave energy in China seas under climate change based on CMIP6 climate model

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  • Xu, Jie
  • Li, Jiangxia
  • Pan, Shunqi
  • Yao, Yu
  • Chen, Long
  • Wu, Zhiyuan

Abstract

With the intensification of global warming, the distribution of marine renewable energy resources are changing. In this study, the wind and wave energy resources in the coastal waters of China under four combined climate change scenarios and the Shared Socioeconomic Pathways (SSPs), namely SSP126, SSP245, SSP370, and SSP585 are investigated. The wind data from the latest Coupled Model Intercomparison Project (CMIP6) climate model is analyzed with Multi-model ensemble (MME) approach, which is consequently used to generate the wave data by the FVCOM-SWAVE wave model for historical conditions (2000–2014) and further climate scenarios (2080–2100). The impact of the climate change scenarios on the wind and wave energy generation performance is also assessed using the Total Harmonic Distortion (THD) index. The results indicate that with the increase of the greenhouse gas emissions, the wind energy increases in the northern South China Sea, the Bohai Sea and the Yellow Sea, and the wave energy increases in the Bohai Sea, the Yellow Sea and the northern South China Sea, while a slight decrease is found in the southern South China Sea. The performance of the wind and wave energy generation is affected by the future climate change scenarios, where the wind energy generation is found to be more stable than the wave energy at the study site. The results from this study provide useful guidance for the future deployment of wind and wave energy in the China's coastal waters.

Suggested Citation

  • Xu, Jie & Li, Jiangxia & Pan, Shunqi & Yao, Yu & Chen, Long & Wu, Zhiyuan, 2024. "Assessment of wind and wave energy in China seas under climate change based on CMIP6 climate model," Energy, Elsevier, vol. 310(C).
    • Handle: RePEc:eee:energy:v:310:y:2024:i:c:s0360544224029827
    DOI: 10.1016/j.energy.2024.133207
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    1. Ribal, Agustinus & Babanin, Alexander V. & Zieger, Stefan & Liu, Qingxiang, 2020. "A high-resolution wave energy resource assessment of Indonesia," Renewable Energy, Elsevier, vol. 160(C), pages 1349-1363.
    2. Christie, David & Neill, Simon P. & Arnold, Peter, 2023. "Characterising the wave energy resource of Lanzarote, Canary Islands," Renewable Energy, Elsevier, vol. 206(C), pages 1198-1211.
    3. Sun, Peidong & Xu, Bin & Wang, Jichao, 2022. "Long-term trend analysis and wave energy assessment based on ERA5 wave reanalysis along the Chinese coastline," Applied Energy, Elsevier, vol. 324(C).
    4. 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.
    5. Astariz, S. & Iglesias, G., 2015. "The economics of wave energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 397-408.
    6. Rusu, Eugen & Onea, Florin, 2019. "A parallel evaluation of the wind and wave energy resources along the Latin American and European coastal environments," Renewable Energy, Elsevier, vol. 143(C), pages 1594-1607.
    7. Li, Jiangxia & Pan, Shunqi & Chen, Yongping & Yao, Yu & Xu, Conghao, 2022. "Assessment of combined wind and wave energy in the tropical cyclone affected region:An application in China seas," Energy, Elsevier, vol. 260(C).
    8. Wen, Yi & Kamranzad, Bahareh & Lin, Pengzhi, 2021. "Assessment of long-term offshore wind energy potential in the south and southeast coasts of China based on a 55-year dataset," Energy, Elsevier, vol. 224(C).
    9. Carvalho, D. & Rocha, A. & Costoya, X. & deCastro, M. & Gómez-Gesteira, M., 2021. "Wind energy resource over Europe under CMIP6 future climate projections: What changes from CMIP5 to CMIP6," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    10. Costoya, X. & deCastro, M. & Santos, F. & Sousa, M.C. & Gómez-Gesteira, M., 2019. "Projections of wind energy resources in the Caribbean for the 21st century," Energy, Elsevier, vol. 178(C), pages 356-367.
    11. Li, Delei & Geyer, Beate & Bisling, Peter, 2016. "A model-based climatology analysis of wind power resources at 100-m height over the Bohai Sea and the Yellow Sea," Applied Energy, Elsevier, vol. 179(C), pages 575-589.
    12. Liu, Jin & Meucci, Alberto & Liu, Qingxiang & Babanin, Alexander V. & Ierodiaconou, Daniel & Xu, Xingkun & Young, Ian R., 2023. "A high-resolution wave energy assessment of south-east Australia based on a 40-year hindcast," Renewable Energy, Elsevier, vol. 215(C).
    13. Pourali, Mahmoud & Kavianpour, Mohamad Reza & Kamranzad, Bahareh & Alizadeh, Mohamad Javad, 2023. "Future variability of wave energy in the Gulf of Oman using a high resolution CMIP6 climate model," Energy, Elsevier, vol. 262(PB).
    14. Rusu, Liliana, 2019. "The wave and wind power potential in the western Black Sea," Renewable Energy, Elsevier, vol. 139(C), pages 1146-1158.
    15. Rusu, Eugen & Onea, Florin, 2019. "An assessment of the wind and wave power potential in the island environment," Energy, Elsevier, vol. 175(C), pages 830-846.
    16. 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.
    17. 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.
    18. Laface, Valentina & Arena, Felice, 2023. "Extremes and resource assessment of wind and waves in central Mediterranean Sea," Energy, Elsevier, vol. 278(PA).
    19. Rusu, Liliana, 2020. "A projection of the expected wave power in the Black Sea until the end of the 21st century," Renewable Energy, Elsevier, vol. 160(C), pages 136-147.
    20. Ahn, Seongho & Neary, Vincent S. & Haas, Kevin A., 2022. "Global wave energy resource classification system for regional energy planning and project development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    21. Neary, Vincent S. & Ahn, Seongho, 2023. "Global atlas of extreme significant wave heights and relative risk ratios," Renewable Energy, Elsevier, vol. 208(C), pages 130-140.
    22. Lira-Loarca, Andrea & Ferrari, Francesco & Mazzino, Andrea & Besio, Giovanni, 2021. "Future wind and wave energy resources and exploitability in the Mediterranean Sea by 2100," Applied Energy, Elsevier, vol. 302(C).
    23. 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.
    24. Nguyen, Khanh Q., 2007. "Wind energy in Vietnam: Resource assessment, development status and future implications," Energy Policy, Elsevier, vol. 35(2), pages 1405-1413, February.
    25. Zhang, Shuangyi & Li, Xichen, 2021. "Future projections of offshore wind energy resources in China using CMIP6 simulations and a deep learning-based downscaling method," Energy, Elsevier, vol. 217(C).
    26. Hong, Lixuan & Möller, Bernd, 2011. "Offshore wind energy potential in China: Under technical, spatial and economic constraints," Energy, Elsevier, vol. 36(7), pages 4482-4491.
    27. 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.
    28. Kilcher, Levi & García Medina, Gabriel & Yang, Zhaoqing, 2023. "A scalable wave resource assessment methodology: Application to U.S. waters," Renewable Energy, Elsevier, vol. 217(C).
    29. 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.
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    Keywords

    Climate change; CMIP6; China seas; Wave energy; Wind energy;
    All these keywords.

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