IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v340y2025ics0360544225048480.html

The climatic mutation in the long-term trends of wind and wave energies in the south China sea

Author

Listed:
  • Tong, Yifeng
  • Sun, Weiyi
  • Li, Junmin
  • Chen, Wuyang
  • Li, Yineng
  • Li, Bo
  • Li, Shaotian
  • Shi, Ping

Abstract

A precise understanding of long-term trends in wind and wave energy and their underlying mechanisms is essential for the planning and sustainable development of marine renewable energy resources. Based on 45 years (1980–2024) of continuous model reanalysis data, this study systematically investigates the long-term trend, climate mutation, and their associations with large-scale climate variability for wind and wave energies in the South China Sea (SCS). The results reveal significant seasonal and spatial heterogeneity in wind and wave energy trends, with two notable climate mutations identified around 1995 and 2005. Around 1995, the springtime trend of wave energy shifted from increasing to decreasing. Besides, the growth trend in the northern SCS and the decline trend in the southern SCS both slowed down for the summertime wind energy. A further intensification in the wintertime trends of both wind and wave energy occurred around 2005. These trend mutations are strongly linked to broader climate variability, particularly through changes in the amplitude of the Niño 3.4 index, which affected the frequency of strong wind events, and the phase transitions in the Pacific Decadal Oscillation and Atlantic Multidecadal Oscillation, which modulated the intensity of the SCS monsoon system and regional wind fields over the western Pacific. By detecting and quantifying the spatiotemporal variability of the energies' trend mutations and establishing robust connections with climate indices, this study provides critical insights for regional energy resource planning, climate risk assessment, and the development of adaptive policy strategies.

Suggested Citation

  • Tong, Yifeng & Sun, Weiyi & Li, Junmin & Chen, Wuyang & Li, Yineng & Li, Bo & Li, Shaotian & Shi, Ping, 2025. "The climatic mutation in the long-term trends of wind and wave energies in the south China sea," Energy, Elsevier, vol. 340(C).
  • Handle: RePEc:eee:energy:v:340:y:2025:i:c:s0360544225048480
    DOI: 10.1016/j.energy.2025.139206
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225048480
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.139206?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

    for a different version of it.

    References listed on IDEAS

    as
    1. 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).
    2. Sun, Ze & Zhang, Haicheng & Xu, Daolin & Liu, Xiaolong & Ding, Jun, 2020. "Assessment of wave power in the South China Sea based on 26-year high-resolution hindcast data," Energy, Elsevier, vol. 197(C).
    3. George Lavidas & Vengatesan Venugopal, 2018. "Energy Production Benefits by Wind and Wave Energies for the Autonomous System of Crete," Energies, MDPI, vol. 11(10), pages 1-14, October.
    4. 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.
    5. 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).
    6. P Patel, Ravi & Nagababu, Garlapati & Kachhwaha, Surendra Singh & V V Arun Kumar, Surisetty & M, Seemanth, 2022. "Combined wind and wave resource assessment and energy extraction along the Indian coast," Renewable Energy, Elsevier, vol. 195(C), pages 931-945.
    7. Yong Wan & Chenqing Fan & Yongshou Dai & Ligang Li & Weifeng Sun & Peng Zhou & Xiaojun Qu, 2018. "Assessment of the Joint Development Potential of Wave and Wind Energy in the South China Sea," Energies, MDPI, vol. 11(2), pages 1-26, February.
    8. Chen, Xinping & Wang, Kaimin & Zhang, Zenghai & Zeng, Yindong & Zhang, Yao & O'Driscoll, Kieran, 2017. "An assessment of wind and wave climate as potential sources of renewable energy in the nearshore Shenzhen coastal zone of the South China Sea," Energy, Elsevier, vol. 134(C), pages 789-801.
    9. Portilla-Yandún, Jesús & Acero, Wilson Guachamín & Soria, Rafael & Bravo, Jorge & Alvarez, Ricardo & Paredes, Ruben & Arias, Mijail, 2025. "Spectral and Entropy-based Wave Energy resource assessment: A global view, and point analysis at the Galapagos Islands," Renewable Energy, Elsevier, vol. 246(C).
    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. Li, Junmin & Tong, Yifeng & Li, Shaotian & Chen, Wuyang & Li, Yineng & Li, Bo & Sun, Weiyi & Shi, Ping, 2026. "Wave energy assessments around Hainan Island based on a fine-resolution model: the long-term trend and climatic mutation," Renewable Energy, Elsevier, vol. 257(C).
    2. Kamranzad, Bahareh & Lin, Pengzhi, 2020. "Sustainability of wave energy resources in the South China Sea based on five decades of changing climate," Energy, Elsevier, vol. 210(C).
    3. Kamranzad, Bahareh & Lin, Pengzhi & Iglesias, Gregorio, 2021. "Combining methodologies on the impact of inter and intra-annual variation of wave energy on selection of suitable location and technology," Renewable Energy, Elsevier, vol. 172(C), pages 697-713.
    4. 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).
    5. Wen, Yi & Kamranzad, Bahareh & Lin, Pengzhi, 2022. "Joint exploitation potential of offshore wind and wave energy along the south and southeast coasts of China," Energy, Elsevier, vol. 249(C).
    6. 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).
    7. 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).
    8. Shi, Xueli & Wei, Maoxing & Lin, Yuan & Zheng, Siming & Chen, Jiawang & He, Fang, 2026. "Hotspot selection and complementarity for combined offshore wind and wave energy utilization in the China East Adjacent Seas," Energy, Elsevier, vol. 342(C).
    9. Sun, Ze & Zhang, Haicheng & Liu, Xiaolong & Ding, Jun & Xu, Daolin & Cai, Zhiwen, 2021. "Wave energy assessment of the Xisha Group Islands zone for the period 2010–2019," Energy, Elsevier, vol. 220(C).
    10. Shi, Xueli & Chen, Jiawang & Gao, Qiaoling & Tang, Ping & He, Fang, 2026. "Complementary value of wave and tidal current energy in the power grid and their impact on balanced energy demand," Renewable Energy, Elsevier, vol. 261(C).
    11. Tunde Aderinto & Hua Li, 2020. "Effect of Spatial and Temporal Resolution Data on Design and Power Capture of a Heaving Point Absorber," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
    12. Chen, Weixing & Zhou, Boen & Huang, Hao & Lu, Yunfei & Li, Shaoxun & Gao, Feng, 2022. "Design, modeling and performance analysis of a deployable WEC for ocean robots," Applied Energy, Elsevier, vol. 327(C).
    13. Yuan, Ning & Zhang, Xuecheng & Shi, Luming & Shi, Hongda & Liang, Bingchen & Wang, Zhenlu & Xia, Haofeng, 2026. "Projected increases in wave energy magnitude and variability in the Yellow and Bohai Seas under a high-emission climate scenario," Renewable Energy, Elsevier, vol. 261(C).
    14. Gao, Junyao & Huang, Weiqing & Qian, Yu, 2026. "Efficient evaluation of wind energy and carbon mitigation potential under land resource constraints via deep learning," Energy, Elsevier, vol. 345(C).
    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. Yong Wan & Chenqing Fan & Jie Zhang & Junmin Meng & Yongshou Dai & Ligang Li & Weifeng Sun & Peng Zhou & Jing Wang & Xudong Zhang, 2017. "Wave Energy Resource Assessment off the Coast of China around the Zhoushan Islands," Energies, MDPI, vol. 10(9), pages 1-25, September.
    17. Rusu, Liliana & Guedes Soares, C., 2012. "Wave energy assessments in the Azores islands," Renewable Energy, Elsevier, vol. 45(C), pages 183-196.
    18. Halliday, J. Ross & Dorrell, David G. & Wood, Alan R., 2011. "An application of the Fast Fourier Transform to the short-term prediction of sea wave behaviour," Renewable Energy, Elsevier, vol. 36(6), pages 1685-1692.
    19. Pasquale Contestabile & Enrico Di Lauro & Paolo Galli & Cesare Corselli & Diego Vicinanza, 2017. "Offshore Wind and Wave Energy Assessment around Malè and Magoodhoo Island (Maldives)," Sustainability, MDPI, vol. 9(4), pages 1-24, April.
    20. 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).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:energy:v:340:y:2025:i:c:s0360544225048480. 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/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.