IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v242y2025ics096014812500151x.html
   My bibliography  Save this article

Regional assessment of extreme tropical cyclone waves for marine renewable energy development

Author

Listed:
  • Shao, Zhuxiao
  • Li, Jiaqian
  • Liang, Bingchen
  • Gao, Huijun

Abstract

Reasonable assessment of extreme tropical cyclone waves is of great significance to the development of marine renewable energy. However, the significant spatiotemporal variation of these waves poses a challenge to assessment. To cope with temporal variations, the peak over threshold method with flexible window is used to extract extreme samples, which makes full use of tropical cyclone samples. To cope with spatial variations, a regional extrapolation model is proposed by analysing the three-dimensional interrelation of the at-site probability distribution. In this model, a spatial control law is constructed based on site and wave characteristics to govern the local response of the probability distribution, and the valid sample information is added by trading space for time. By using this model, return significant wave heights with reduced uncertainty can be derived at sites with insufficient samples. In addition, the spatial distribution of return significant wave height for different return periods in the study region can also be derived, revealing the spatiotemporal characteristic of extreme tropical cyclone waves. These results provide important support for wave disaster prevention and farm deployment of marine renewable energy industry.

Suggested Citation

  • Shao, Zhuxiao & Li, Jiaqian & Liang, Bingchen & Gao, Huijun, 2025. "Regional assessment of extreme tropical cyclone waves for marine renewable energy development," Renewable Energy, Elsevier, vol. 242(C).
    • Handle: RePEc:eee:renene:v:242:y:2025:i:c:s096014812500151x
    DOI: 10.1016/j.renene.2025.122489
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014812500151X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2025.122489?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. Yong Woo Jeong & Woo Young Choi, 2024. "Point of Common Connection Voltage Modulated Direct Power Control with Disturbance Observer to Increase in Renewable Energy Acceptance in Power System," Energies, MDPI, vol. 17(21), pages 1-17, October.
    2. Campos, R.M. & Guedes Soares, C., 2018. "Spatial distribution of offshore wind statistics on the coast of Portugal using Regional Frequency Analysis," Renewable Energy, Elsevier, vol. 123(C), pages 806-816.
    3. Ilyas, Muhammad & Mu, Zongyu & Akhtar, Sadaf & Hassan, Hassan & Shahzad, Khurram & Aslam, Bilal & Maqsood, Shoaib, 2024. "Renewable energy, economic development, energy consumption and its impact on environmental quality: New evidence from South East Asian countries," Renewable Energy, Elsevier, vol. 223(C).
    4. Cristina Izaguirre & Fernando Méndez & Antonio Espejo & Inigo Losada & Borja Reguero, 2013. "Extreme wave climate changes in Central-South America," Climatic Change, Springer, vol. 119(2), pages 277-290, July.
    5. 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).
    6. 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).
    7. Samour, Ahmed & Shahzad, Umer & Mentel, Grzegorz, 2022. "Moving toward sustainable development: Assessing the impacts of taxation and banking development on renewable energy in the UAE," Renewable Energy, Elsevier, vol. 200(C), pages 706-713.
    8. Eugen Rusu, 2022. "Marine Renewable Energy: An Important Direction in Taking the Green Road towards a Low Carbon Future," Energies, MDPI, vol. 15(15), pages 1-3, July.
    9. Hong, Lixuan & Möller, Bernd, 2012. "An economic assessment of tropical cyclone risk on offshore wind farms," Renewable Energy, Elsevier, vol. 44(C), pages 180-192.
    10. Karunarathna, Harshinie & Maduwantha, Pravin & Kamranzad, Bahareh & Rathnasooriya, Harsha & de Silva, Kasun, 2020. "Evaluation of spatio-temporal variability of ocean wave power resource around Sri Lanka," Energy, Elsevier, vol. 200(C).
    11. Pes, Marcelo P. & Pereira, Enio B. & Marengo, Jose A. & Martins, Fernando R. & Heinemann, Detlev & Schmidt, Michael, 2017. "Climate trends on the extreme winds in Brazil," Renewable Energy, Elsevier, vol. 109(C), pages 110-120.
    12. deCastro, M. & Rusu, L. & Arguilé-Pérez, B. & Ribeiro, A. & Costoya, X. & Carvalho, D. & Gómez-Gesteira, M., 2024. "Different approaches to analyze the impact of future climate change on the exploitation of wave energy," Renewable Energy, Elsevier, vol. 220(C).
    13. Wu, Wei & Tang, Xiaoping & Lv, Jiake & Yang, Chao & Liu, Hongbin, 2021. "Potential of Bayesian additive regression trees for predicting daily global and diffuse solar radiation in arid and humid areas," Renewable Energy, Elsevier, vol. 177(C), pages 148-163.
    14. Haselsteiner, Andreas F. & Thoben, Klaus-Dieter, 2020. "Predicting wave heights for marine design by prioritizing extreme events in a global model," Renewable Energy, Elsevier, vol. 156(C), pages 1146-1157.
    15. 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.
    16. Belaïd, Fateh & Al-Sarihi, Aisha & Al-Mestneer, Raed, 2023. "Balancing climate mitigation and energy security goals amid converging global energy crises: The role of green investments," Renewable Energy, Elsevier, vol. 205(C), pages 534-542.
    17. 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.
    18. David Randell & Graham Feld & Kevin Ewans & Philip Jonathan, 2015. "Distributions of return values for ocean wave characteristics in the South China Sea using directional–seasonal extreme value analysis," Environmetrics, John Wiley & Sons, Ltd., vol. 26(6), pages 442-450, September.
    19. Kresning, Boma & Hashemi, M. Reza & Shirvani, Amin & Hashemi, Javad, 2024. "Uncertainty of extreme wind and wave loads for marine renewable energy farms in hurricane-prone regions," Renewable Energy, Elsevier, vol. 220(C).
    20. López, Iraide & Andreu, Jon & Ceballos, Salvador & Martínez de Alegría, Iñigo & Kortabarria, Iñigo, 2013. "Review of wave energy technologies and the necessary power-equipment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 413-434.
    21. Fairley, I. & Karunarathna, H. & Masters, I., 2018. "The influence of waves on morphodynamic impacts of energy extraction at a tidal stream turbine site in the Pentland Firth," Renewable Energy, Elsevier, vol. 125(C), pages 630-647.
    22. Yang, Shaobo & Deng, Zegui & Li, Xingfei & Zheng, Chongwei & Xi, Lintong & Zhuang, Jucheng & Zhang, Zhenquan & Zhang, Zhiyou, 2021. "A novel hybrid model based on STL decomposition and one-dimensional convolutional neural networks with positional encoding for significant wave height forecast," Renewable Energy, Elsevier, vol. 173(C), pages 531-543.
    23. Agrawal, Alok & Sandhu, Kanwarjit Singh, 2016. "Most influential parametrical and data needs for realistic wind speed prediction," Renewable Energy, Elsevier, vol. 94(C), pages 452-465.
    24. Harshinie Karunarathna & Pravin Maduwantha & Bahareh Kamranzad & Harsha Rathnasooriya & Kasun De Silva, 2020. "Impacts of Global Climate Change on the Future Ocean Wave Power Potential: A Case Study from the Indian Ocean," Energies, MDPI, vol. 13(11), pages 1-22, June.
    25. 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.
    26. Agarwal, Atul & Venugopal, Vengatesan & Harrison, Gareth P., 2013. "The assessment of extreme wave analysis methods applied to potential marine energy sites using numerical model data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 244-257.
    27. Caballero, Mariah D. & Gunda, Thushara & McDonald, Yolanda J., 2023. "Energy justice & coastal communities: The case for Meaningful Marine Renewable Energy Development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    28. 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).
    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. Liang, Bingchen & Zhang, Xianghe & Shao, Zhuxiao & Gao, Huijun, 2025. "Response of wave energy to tidal influence along the coast of Shandong Peninsula, China," Energy, Elsevier, vol. 320(C).
    2. 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.
    3. 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).
    4. Shi, Xueli & Liang, Bingchen & Du, Shengtao & Shao, Zhuxiao & Li, Shaowu, 2022. "Wave energy assessment in the China East Adjacent Seas based on a 25-year wave-current interaction numerical simulation," Renewable Energy, Elsevier, vol. 199(C), pages 1381-1407.
    5. 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.
    6. Tang, Shengming & Guo, Yun & Wang, Xu & Zhu, Rong & Tang, Jie & Zhang, Shuai, 2023. "Evaluation and impact factors of Doppler wind lidar during Super Typhoon Lekima (2019)," Renewable Energy, Elsevier, vol. 205(C), pages 305-316.
    7. 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).
    8. 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).
    9. Yao, Ganzhou & Luo, Zirong & Lu, Zhongyue & Wang, Mangkuan & Shang, Jianzhong & Guerrerob, Josep M., 2023. "Unlocking the potential of wave energy conversion: A comprehensive evaluation of advanced maximum power point tracking techniques and hybrid strategies for sustainable energy harvesting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    10. Xu, Xingkun & Sasmal, Kaushik & Wen, Yi & Xu, Haihua & Ma, Peifeng & Tkalich, Pavel & Lin, Pengzhi, 2024. "An integrated approach for the decision of wave energy converter deployment based on forty-five-years high-resolution wave climate modeling," Energy, Elsevier, vol. 305(C).
    11. Jin, Xin & Zhang, Zhaolong & Shi, Xiaoqiang & Ju, Wenbin, 2014. "A review on wind power industry and corresponding insurance market in China: Current status and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1069-1082.
    12. Mojtaba Qolipour & Ali Mostafaeipour & Mohammad Saidi-Mehrabad & Hamid R Arabnia, 2019. "Prediction of wind speed using a new Grey-extreme learning machine hybrid algorithm: A case study," Energy & Environment, , vol. 30(1), pages 44-62, February.
    13. Wang, Mangkuan & Shang, Jianzhong & Luo, Zirong & Lu, Zhongyue & Yao, Ganzhou, 2023. "Theoretical and numerical studies on improving absorption power of multi-body wave energy convert device with nonlinear bistable structure," Energy, Elsevier, vol. 282(C).
    14. Li, Pin & He, Qi & Zhang, Jinsuo & Xia, Qiyuan, 2024. "Analyzing the impact of energy synergy and renewable energy generation on energy security: Empirical evidence from China's Yangtze River Delta region," Energy, Elsevier, vol. 302(C).
    15. Degirmenci, Tunahan & Yavuz, Hakan, 2024. "Environmental taxes, R&D expenditures and renewable energy consumption in EU countries: Are fiscal instruments effective in the expansion of clean energy?," Energy, Elsevier, vol. 299(C).
    16. Nicholas Bamegne Nambie & Philomena Dadzie & Dorcas Oye Haywood-Dadzie, 2023. "Measuring the Effect of Income Inequality, Financial Inclusion, Investment, and Unemployment, on Economic Growth in Africa: A Moderating Role of Digital Financial Technology," International Journal of Economics and Financial Issues, Econjournals, vol. 13(4), pages 111-124, July.
    17. Naeem, Muhammad Abubakr & Arfaoui, Nadia, 2023. "Exploring downside risk dependence across energy markets: Electricity, conventional energy, carbon, and clean energy during episodes of market crises," Energy Economics, Elsevier, vol. 127(PB).
    18. Jahangir, Mohammad Hossein & Hosseini, Seyed Sina & Mehrpooya, Mehdi, 2018. "A detailed theoretical modeling and parametric investigation of potential power in heaving buoys," Energy, Elsevier, vol. 154(C), pages 201-209.
    19. Feng, Jiayu & Gao, Jintong & Hu, Bin & Wang, Ruzhu & Xu, Zhenyuan, 2024. "A mass-coupled hybrid absorption-compression heat pump with output temperature of 200 °C," Energy, Elsevier, vol. 312(C).
    20. Fouz, D.M. & Carballo, R. & López, I. & González, X.P. & Iglesias, G., 2023. "A methodology for cost-effective analysis of hydrokinetic energy projects," Energy, Elsevier, vol. 282(C).

    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:242:y:2025:i:c:s096014812500151x. 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.