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A high-resolution, long-term wave resource assessment of Japan with wave–current effects

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  • Webb, A.
  • Waseda, T.
  • Kiyomatsu, K.

Abstract

The largest source of uncertainty in estimating annual energy production from a wave energy converter is natural variability. Standards recommend the collection of long-term on-site records, but with a concurrent requirement of dense data coverage, it becomes intractable to assess resources even at the feasibility development stage. Here, we provide uncertainty estimates of wave energy resources along the coast of Japan at 1 km resolution based on 21-year long numerical simulation, assuring a mean absolute percentage error of 4%. The uncertainties of the annual, seasonal and monthly climatologies are provided, and the epistemic uncertainty due to the effects of ocean current and finite depth on wave power estimation are quantified. Additionally, a significant wave height threshold is applied to exclude severe storm periods when devices are not in operation. The estimated total available wave power in Japan is 115.1 GW, whereas with a 3 m significant wave height threshold, it reduces to about 70 GW. Wave modeling under strong influence of ocean current is yet another source of epistemic uncertainty and the local and remote effects of strong current field are discussed. Results from the wave resource assessment are accessible to the public via a user-friendly web-based Geographical Information System, which was developed to help foster the use of marine renewable energy.

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  • Webb, A. & Waseda, T. & Kiyomatsu, K., 2020. "A high-resolution, long-term wave resource assessment of Japan with wave–current effects," Renewable Energy, Elsevier, vol. 161(C), pages 1341-1358.
    • Handle: RePEc:eee:renene:v:161:y:2020:i:c:p:1341-1358
    DOI: 10.1016/j.renene.2020.05.030
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    References listed on IDEAS

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    2. Yang, Zhaoqing & García Medina, Gabriel & Neary, Vincent S. & Ahn, Seongho & Kilcher, Levi & Bharath, Aidan, 2023. "Multi-decade high-resolution regional hindcasts for wave energy resource characterization in U.S. coastal waters," Renewable Energy, Elsevier, vol. 212(C), pages 803-817.
    3. Beya, Ignacio & Buckham, Bradley & Robertson, Bryson, 2021. "Impact of tidal currents and model fidelity on wave energy resource assessments," Renewable Energy, Elsevier, vol. 176(C), pages 50-66.
    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. Shi, Xueli & Li, Shaowu & Liang, Bingchen & Zhao, Jianchun & Liu, Ye & Wang, Zhenlu, 2023. "Numerical study on the impact of wave-current interaction on wave energy resource assessments in Zhoushan sea area, China," Renewable Energy, Elsevier, vol. 215(C).

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