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Application of numerical wave models at European coastlines: A review

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  • Lavidas, George
  • Venugopal, Vengatesan

Abstract

Significant advancements have been made in the past few decades (since the 1980s) on detailed evaluation and quantification of wave resources globally. Larger availability and advances of computational resources have contributed to the utilisation of numerical wave models as powerful tools in climatic and energy studies. This review presents current state-of-the-art numerical tools and their status in the process of wave power assessments. We focus on the evolution of studies undertaken at the European coastline regions and the Black Sea.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:rensus:v:92:y:2018:i:c:p:489-500
    DOI: 10.1016/j.rser.2018.04.112
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    Citations

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    Cited by:

    1. Amarouche, Khalid & Akpınar, Adem & Bachari, Nour El Islam & Houma, Fouzia, 2020. "Wave energy resource assessment along the Algerian coast based on 39-year wave hindcast," Renewable Energy, Elsevier, vol. 153(C), pages 840-860.
    2. Carballo, R. & Arean, N. & Álvarez, M. & López, I. & Castro, A. & López, M. & Iglesias, G., 2019. "Wave farm planning through high-resolution resource and performance characterization," Renewable Energy, Elsevier, vol. 135(C), pages 1097-1107.
    3. Choupin, O. & Têtu, A. & Del Río-Gamero, B. & Ferri, F. & Kofoed, JP., 2022. "Premises for an annual energy production and capacity factor improvement towards a few optimised wave energy converters configurations and resources pairs," Applied Energy, Elsevier, vol. 312(C).
    4. Satymov, Rasul & Bogdanov, Dmitrii & Dadashi, Mojtaba & Lavidas, George & Breyer, Christian, 2024. "Techno-economic assessment of global and regional wave energy resource potentials and profiles in hourly resolution," Applied Energy, Elsevier, vol. 364(C).
    5. 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.
    6. Chutipat Foyhirun & Duangrudee Kositgittiwong & Chaiwat Ekkawatpanit, 2020. "Wave Energy Potential and Simulation on the Andaman Sea Coast of Thailand," Sustainability, MDPI, vol. 12(9), pages 1-18, May.
    7. George Lavidas & John K. Kaldellis, 2020. "Assessing Renewable Resources at the Saronikos Gulf for the Development of Multi-Generation Renewable Systems," Sustainability, MDPI, vol. 12(21), pages 1-22, November.
    8. 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.

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