Downscaling wave energy converters for optimum performance in low-energy seas
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DOI: 10.1016/j.renene.2020.12.092
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- Dallavalle, Elisa & Zanuttigh, Barbara & Contestabile, Pasquale & Giuggioli, Alessandro & Speranza, Davide, 2023. "Improved methodology for the optimal mixing of renewable energy sources and application to a multi-use offshore platform," Renewable Energy, Elsevier, vol. 210(C), pages 575-590.
- Liang, Hongjian & Qin, Hao & Su, Haowen & Wen, Zhixuan & Mu, Lin, 2024. "Environmental-Sensing and adaptive optimization of wave energy converter based on deep reinforcement learning and computational fluid dynamics," Energy, Elsevier, vol. 297(C).
- Majidi, Ajab Gul & Ramos, Victor & Amarouche, Khalid & Rosa Santos, Paulo & das Neves, Luciana & Taveira-Pinto, Francisco, 2023. "Assessing the impact of wave model calibration in the uncertainty of wave energy estimation," Renewable Energy, Elsevier, vol. 212(C), pages 415-429.
- Manuel Corrales-Gonzalez & George Lavidas & Giovanni Besio, 2023. "Feasibility of Wave Energy Harvesting in the Ligurian Sea, Italy," Sustainability, MDPI, vol. 15(11), pages 1-22, June.
- 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.
- Foteinis, Spyros, 2022. "Wave energy converters in low energy seas: Current state and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
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Keywords
Wave energy converter; Optimum scale; Production performance; Black sea;All these keywords.
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