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Advanced wave energy conversion technologies for sustainable and smart sea: A comprehensive review
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China.ORCID iD: 0000-0002-6279-4446
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
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2025 (English)In: Renewable energy, ISSN 0960-1481, E-ISSN 1879-0682, Vol. 238, article id 121980Article in journal (Refereed) Published
Abstract [en]

The world's oceans, covering approximately 71 % of the Earth's surface, harbor vast wave energy resources, offering a potential solution to the pressing energy crisis and environmental pollution caused by fossil fuel combustion. In recent years, there has been a global surge in exploration and development of wave energy conversion technologies, aimed at effectively harnessing wave energy to realizing sustainable and intelligent sea solutions. This comprehensive review examines the advancements, challenges and future research directions of current mainstream wave energy conversion technologies. Firstly, the distribution of global wave resources and energy conversion process involved in wave energy extraction are analyzed. Subsequently, various wave energy conversion technologies are meticulously classified based on their power take-off systems, and the strengths and challenges of each category are comprehensively investigated. Especially, a universal standard consisting of 5 key indicators has been established to evaluate and compare the characteristics of various wave energy conversion technologies based on different transduction mechanisms, providing comprehensive and intuitive valid references for developers with different needs. The evaluation reveals that the wave energy converters based on hybrid systems demonstrate significant promise as conversion technologies. Moreover, the review presents a summary and analysis of the latest advancements in the application of artificial intelligence within wave energy conversion technologies. This emerging integration of artificial intelligence showcases promising development and potential for further enhancing wave energy conversion systems. Lastly, the review explores the application and future research directions of wave energy conversion technologies. Notably, the investigation highlights the potential of developing a multi-energy complementary power generation system that can concurrently harness multiple renewable energy sources coexisting at sea. This concept represents a promising avenue for future research and development.

Place, publisher, year, edition, pages
Elsevier Ltd , 2025. Vol. 238, article id 121980
Keywords [en]
Artificial intelligence integration, Power take-off system, Sustainable and smart sea, Technical comparison and analysis, Wave energy, Wave energy conversion technology, Wave energy conversion, Comparison and analysis, Energy conversion technologies, Intelligence integration, Power take-off systems, Technical comparison and analyze, alternative energy, artificial intelligence, exploration, fossil fuel, power generation, Wave power
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-69258DOI: 10.1016/j.renene.2024.121980Scopus ID: 2-s2.0-85210142055OAI: oai:DiVA.org:mdh-69258DiVA, id: diva2:1918131
Available from: 2024-12-04 Created: 2024-12-04 Last updated: 2024-12-04Bibliographically approved

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Li, HailongShi, XiaodanYan, Jinyue

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