{"title":"海洋可再生能源:进展、挑战和可扩展可持续性的途径","authors":"Enwei Tang , Junyao Gao , Weiqing Huang , Yu Qian","doi":"10.1016/j.energy.2025.138083","DOIUrl":null,"url":null,"abstract":"<div><div>The escalating demand for electricity and increasingly adverse impacts of climate change necessitate urgent advancement in the development and utilization of Marine Renewable Energy (MRE). From 2011 to 2024, significant technological progress has been achieved in MRE exploitation. This study analyzes relevant studies during this 14-year period, providing a comprehensive review encompassing current developments, existing challenges, and optimization strategies, with particular emphasis on artificial intelligence (AI) applications and potential within this field. Among various MRE types, offshore wind energy demonstrates the most mature development level, while other energy forms exhibit relatively lower conversion efficiency and economic viability. The inherent power generation fluctuations and surplus electricity production in renewable energy systems can be effectively addressed through Hybrid Renewable Energy system (HRES) and novel energy storage technologies (hydrogen, ammonia, methanol). The high costs associated with MRE development have consistently been a primary constraint limiting progress in this field, while artificial intelligence (AI) demonstrates significant potential for reducing costs and enhancing power generation efficiency. However, in application scenarios lacking sufficient, high-quality data, it is necessary to combine methods such as first-principles modeling. Additionally, the integration of circular economy theory with life cycle assessment (LCA) applied to large-scale MRE power generation platforms or farms is another key optimization strategy. As future MRE power facilities inevitably trend toward higher efficiency and larger scales, investigating the environmental impacts of this progression on marine ecosystems constitutes essential work that cannot be overlooked in future research.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"335 ","pages":"Article 138083"},"PeriodicalIF":9.4000,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Marine renewable energy: Progress, challenges, and pathways to scalable sustainability\",\"authors\":\"Enwei Tang , Junyao Gao , Weiqing Huang , Yu Qian\",\"doi\":\"10.1016/j.energy.2025.138083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The escalating demand for electricity and increasingly adverse impacts of climate change necessitate urgent advancement in the development and utilization of Marine Renewable Energy (MRE). From 2011 to 2024, significant technological progress has been achieved in MRE exploitation. This study analyzes relevant studies during this 14-year period, providing a comprehensive review encompassing current developments, existing challenges, and optimization strategies, with particular emphasis on artificial intelligence (AI) applications and potential within this field. Among various MRE types, offshore wind energy demonstrates the most mature development level, while other energy forms exhibit relatively lower conversion efficiency and economic viability. The inherent power generation fluctuations and surplus electricity production in renewable energy systems can be effectively addressed through Hybrid Renewable Energy system (HRES) and novel energy storage technologies (hydrogen, ammonia, methanol). The high costs associated with MRE development have consistently been a primary constraint limiting progress in this field, while artificial intelligence (AI) demonstrates significant potential for reducing costs and enhancing power generation efficiency. However, in application scenarios lacking sufficient, high-quality data, it is necessary to combine methods such as first-principles modeling. Additionally, the integration of circular economy theory with life cycle assessment (LCA) applied to large-scale MRE power generation platforms or farms is another key optimization strategy. As future MRE power facilities inevitably trend toward higher efficiency and larger scales, investigating the environmental impacts of this progression on marine ecosystems constitutes essential work that cannot be overlooked in future research.</div></div>\",\"PeriodicalId\":11647,\"journal\":{\"name\":\"Energy\",\"volume\":\"335 \",\"pages\":\"Article 138083\"},\"PeriodicalIF\":9.4000,\"publicationDate\":\"2025-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0360544225037259\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360544225037259","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Marine renewable energy: Progress, challenges, and pathways to scalable sustainability
The escalating demand for electricity and increasingly adverse impacts of climate change necessitate urgent advancement in the development and utilization of Marine Renewable Energy (MRE). From 2011 to 2024, significant technological progress has been achieved in MRE exploitation. This study analyzes relevant studies during this 14-year period, providing a comprehensive review encompassing current developments, existing challenges, and optimization strategies, with particular emphasis on artificial intelligence (AI) applications and potential within this field. Among various MRE types, offshore wind energy demonstrates the most mature development level, while other energy forms exhibit relatively lower conversion efficiency and economic viability. The inherent power generation fluctuations and surplus electricity production in renewable energy systems can be effectively addressed through Hybrid Renewable Energy system (HRES) and novel energy storage technologies (hydrogen, ammonia, methanol). The high costs associated with MRE development have consistently been a primary constraint limiting progress in this field, while artificial intelligence (AI) demonstrates significant potential for reducing costs and enhancing power generation efficiency. However, in application scenarios lacking sufficient, high-quality data, it is necessary to combine methods such as first-principles modeling. Additionally, the integration of circular economy theory with life cycle assessment (LCA) applied to large-scale MRE power generation platforms or farms is another key optimization strategy. As future MRE power facilities inevitably trend toward higher efficiency and larger scales, investigating the environmental impacts of this progression on marine ecosystems constitutes essential work that cannot be overlooked in future research.
期刊介绍:
Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics.
The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management.
Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.