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Impacts of Global Climate Change on the Future Ocean Wave Power Potential: A Case Study from the Indian Ocean

Author

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  • Harshinie Karunarathna

    (Zienkiewicz Centre for Computational Engineering, College of Engineering, Bay Campus, Swansea University, Swansea SA1 8 EN, UK)

  • Pravin Maduwantha

    (Department of Civil Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka)

  • Bahareh Kamranzad

    (Graduate School of Advanced Integrated Studies in Human Survivability (GSAIS), Kyoto University, Yoshida-Nakaadachi 1, Sakyo-ku, Kyoto 606-8306, Japan
    Hakubi Center for Advanced Research, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto 606-8501, Japan)

  • Harsha Rathnasooriya

    (Department of Civil Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka)

  • Kasun De Silva

    (Department of Civil Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka)

Abstract

This study investigates the impacts of global climate change on the future wave power potential, taking Sri Lanka as a case study from the northern Indian Ocean. The geographical location of Sri Lanka, which receives long-distance swell waves generated in the Southern Indian Ocean, favors wave energy-harvesting. Waves projected by a numerical wave model developed using Simulating Waves Nearshore Waves (SWAN) wave model, which is forced by atmospheric forcings generated by an Atmospheric Global Climate Model (AGCM) within two time slices that represent “present” and “future” (end of century) wave climates, are used to evaluate and compare present and future wave power potential around Sri Lanka. The results reveal that there will be a 12–20% reduction in average available wave power along the south-west and south-east coasts of Sri Lanka in future. This reduction is due mainly to changes to the tropical south-west monsoon system because of global climate change. The available wave power resource attributed to swell wave component remains largely unchanged. Although a detailed analysis of monthly and annual average wave power under both “present” and “future” climates reveals a strong seasonal and some degree of inter-annual variability of wave power, a notable decadal-scale trend of variability is not visible during the simulated 25-year periods. Finally, the results reveal that the wave power attributed to swell waves are very stable over the long term.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:3028-:d:370415
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    References listed on IDEAS

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    1. Borja G. Reguero & Iñigo J. Losada & Fernando J. Méndez, 2019. "A recent increase in global wave power as a consequence of oceanic warming," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
    2. 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.
    3. Reguero, B.G. & Losada, I.J. & Méndez, F.J., 2015. "A global wave power resource and its seasonal, interannual and long-term variability," Applied Energy, Elsevier, vol. 148(C), pages 366-380.
    4. 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.
    5. Ozkan, Cigdem & Mayo, Talea, 2019. "The renewable wave energy resource in coastal regions of the Florida peninsula," Renewable Energy, Elsevier, vol. 139(C), pages 530-537.
    6. 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).
    7. Bahareh Kamranzad & George Lavidas & Kaoru Takara, 2020. "Spatio-Temporal Assessment of Climate Change Impact on Wave Energy Resources Using Various Time Dependent Criteria," Energies, MDPI, vol. 13(3), pages 1-12, February.
    8. Neill, Simon P. & Vögler, Arne & Goward-Brown, Alice J. & Baston, Susana & Lewis, Matthew J. & Gillibrand, Philip A. & Waldman, Simon & Woolf, David K., 2017. "The wave and tidal resource of Scotland," Renewable Energy, Elsevier, vol. 114(PA), pages 3-17.
    9. 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.
    10. Mackay, Edward B.L. & Bahaj, AbuBakr S. & Challenor, Peter G., 2010. "Uncertainty in wave energy resource assessment. Part 1: Historic data," Renewable Energy, Elsevier, vol. 35(8), pages 1792-1808.
    11. Hughes, Michael G. & Heap, Andrew D., 2010. "National-scale wave energy resource assessment for Australia," Renewable Energy, Elsevier, vol. 35(8), pages 1783-1791.
    12. Leijon, Mats & Bernhoff, Hans & Berg, Marcus & Ågren, Olov, 2003. "Economical considerations of renewable electric energy production—especially development of wave energy," Renewable Energy, Elsevier, vol. 28(8), pages 1201-1209.
    13. Sierra, J.P. & Casas-Prat, M. & Campins, E., 2017. "Impact of climate change on wave energy resource: The case of Menorca (Spain)," Renewable Energy, Elsevier, vol. 101(C), pages 275-285.
    14. Sierra, Joan Pau & White, Adam & Mösso, Cesar & Mestres, Marc, 2017. "Assessment of the intra-annual and inter-annual variability of the wave energy resource in the Bay of Biscay (France)," Energy, Elsevier, vol. 141(C), pages 853-868.
    15. Mark A. Hemer & Yalin Fan & Nobuhito Mori & Alvaro Semedo & Xiaolan L. Wang, 2013. "Projected changes in wave climate from a multi-model ensemble," Nature Climate Change, Nature, vol. 3(5), pages 471-476, May.
    16. Cuttler, Michael V.W. & Hansen, Jeff E. & Lowe, Ryan J., 2020. "Seasonal and interannual variability of the wave climate at a wave energy hotspot off the southwestern coast of Australia," Renewable Energy, Elsevier, vol. 146(C), pages 2337-2350.
    17. 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.
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