Manfeng Li , Juncheng Yang , Mehdi Mehrpooya , Zhanjun Guo , Tianbiao He
{"title":"可再生能源和LNG冷能驱动的离网绿色制氢和液化系统:综合4E分析与优化","authors":"Manfeng Li , Juncheng Yang , Mehdi Mehrpooya , Zhanjun Guo , Tianbiao He","doi":"10.1016/j.apenergy.2025.125882","DOIUrl":null,"url":null,"abstract":"<div><div>To address the growing demand for sustainable hydrogen production and reduce the carbon footprint of hydrogen liquefaction, an off-grid system integrating renewable energy, liquefied natural gas cold energy and organic Rankine cycle is proposed. The renewable energy generation and proton exchange membrane electrolyzer hydrogen production processes are modeled in TRNSYS, while the hydrogen liquefaction and the organic Rankine cycle are simulated using ASPEN HYSYS. The Particle Swarm Optimization algorithm is used to optimize the hydrogen liquefaction process by evaluating various configurations based on energy efficiency, environmental impact, exergy efficiency, and economic feasibility. The optimization results show that the system achieves a reduction in specific energy consumption from 7.948 <span><math><mi>kWh</mi><mo>/</mo><msub><mi>kg</mi><msub><mi>LH</mi><mn>2</mn></msub></msub></math></span> to 6.937 <span><math><mi>kWh</mi><mo>/</mo><msub><mi>kg</mi><msub><mi>LH</mi><mn>2</mn></msub></msub></math></span>. Within the 4E analytical framework, Case 10 achieves the highest energy efficiency at 23.55 %, whereas Case 1 demonstrates the most significant pollutant reduction, decreasing emissions by 2.901 % relative to the reference system. Case 11 exhibits the best exergy efficiency at 26.61 %, while Case 8 optimizes economic viability with the lowest initial investment, featuring a dynamic payback period of 3.56 years and a levelized hydrogen production cost of 1.1 $/<span><math><msub><mi>kg</mi><msub><mi>LH</mi><mn>2</mn></msub></msub></math></span>. From a dual-criterion perspective, Case 8 outperforms others in life cycle cost and emission reduction performance, while Case 10 maintains superior energy and exergy efficiency. Significantly, Case 5 emerges as the Pareto-optimal solution under equally weighted multi-criteria evaluation, balancing all performance indices with minimal trade-off compromise. This integrated system provides a promising solution for utilizing offshore renewable energy in hydrogen production, offering a low-emission and sustainable fuel pathway.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"392 ","pages":"Article 125882"},"PeriodicalIF":10.1000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Off-grid green hydrogen production and liquefaction system driven by renewable energy and LNG cold energy: A comprehensive 4E analysis and optimization\",\"authors\":\"Manfeng Li , Juncheng Yang , Mehdi Mehrpooya , Zhanjun Guo , Tianbiao He\",\"doi\":\"10.1016/j.apenergy.2025.125882\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>To address the growing demand for sustainable hydrogen production and reduce the carbon footprint of hydrogen liquefaction, an off-grid system integrating renewable energy, liquefied natural gas cold energy and organic Rankine cycle is proposed. The renewable energy generation and proton exchange membrane electrolyzer hydrogen production processes are modeled in TRNSYS, while the hydrogen liquefaction and the organic Rankine cycle are simulated using ASPEN HYSYS. The Particle Swarm Optimization algorithm is used to optimize the hydrogen liquefaction process by evaluating various configurations based on energy efficiency, environmental impact, exergy efficiency, and economic feasibility. The optimization results show that the system achieves a reduction in specific energy consumption from 7.948 <span><math><mi>kWh</mi><mo>/</mo><msub><mi>kg</mi><msub><mi>LH</mi><mn>2</mn></msub></msub></math></span> to 6.937 <span><math><mi>kWh</mi><mo>/</mo><msub><mi>kg</mi><msub><mi>LH</mi><mn>2</mn></msub></msub></math></span>. Within the 4E analytical framework, Case 10 achieves the highest energy efficiency at 23.55 %, whereas Case 1 demonstrates the most significant pollutant reduction, decreasing emissions by 2.901 % relative to the reference system. Case 11 exhibits the best exergy efficiency at 26.61 %, while Case 8 optimizes economic viability with the lowest initial investment, featuring a dynamic payback period of 3.56 years and a levelized hydrogen production cost of 1.1 $/<span><math><msub><mi>kg</mi><msub><mi>LH</mi><mn>2</mn></msub></msub></math></span>. From a dual-criterion perspective, Case 8 outperforms others in life cycle cost and emission reduction performance, while Case 10 maintains superior energy and exergy efficiency. Significantly, Case 5 emerges as the Pareto-optimal solution under equally weighted multi-criteria evaluation, balancing all performance indices with minimal trade-off compromise. This integrated system provides a promising solution for utilizing offshore renewable energy in hydrogen production, offering a low-emission and sustainable fuel pathway.</div></div>\",\"PeriodicalId\":246,\"journal\":{\"name\":\"Applied Energy\",\"volume\":\"392 \",\"pages\":\"Article 125882\"},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2025-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Energy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0306261925006129\",\"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":"Applied Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306261925006129","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}
Off-grid green hydrogen production and liquefaction system driven by renewable energy and LNG cold energy: A comprehensive 4E analysis and optimization
To address the growing demand for sustainable hydrogen production and reduce the carbon footprint of hydrogen liquefaction, an off-grid system integrating renewable energy, liquefied natural gas cold energy and organic Rankine cycle is proposed. The renewable energy generation and proton exchange membrane electrolyzer hydrogen production processes are modeled in TRNSYS, while the hydrogen liquefaction and the organic Rankine cycle are simulated using ASPEN HYSYS. The Particle Swarm Optimization algorithm is used to optimize the hydrogen liquefaction process by evaluating various configurations based on energy efficiency, environmental impact, exergy efficiency, and economic feasibility. The optimization results show that the system achieves a reduction in specific energy consumption from 7.948 to 6.937 . Within the 4E analytical framework, Case 10 achieves the highest energy efficiency at 23.55 %, whereas Case 1 demonstrates the most significant pollutant reduction, decreasing emissions by 2.901 % relative to the reference system. Case 11 exhibits the best exergy efficiency at 26.61 %, while Case 8 optimizes economic viability with the lowest initial investment, featuring a dynamic payback period of 3.56 years and a levelized hydrogen production cost of 1.1 $/. From a dual-criterion perspective, Case 8 outperforms others in life cycle cost and emission reduction performance, while Case 10 maintains superior energy and exergy efficiency. Significantly, Case 5 emerges as the Pareto-optimal solution under equally weighted multi-criteria evaluation, balancing all performance indices with minimal trade-off compromise. This integrated system provides a promising solution for utilizing offshore renewable energy in hydrogen production, offering a low-emission and sustainable fuel pathway.
期刊介绍:
Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.