Yang Chen , Wenshan Guo , Huu Hao Ngo , Zhuo Chen , Chunhai Wei , Xuan Thanh Bui , Tra Van Tung , Huiying Zhang
{"title":"通过生命周期分析评估氢气生产的方法","authors":"Yang Chen , Wenshan Guo , Huu Hao Ngo , Zhuo Chen , Chunhai Wei , Xuan Thanh Bui , Tra Van Tung , Huiying Zhang","doi":"10.1016/j.scitotenv.2025.179355","DOIUrl":null,"url":null,"abstract":"<div><div>As global energy demand increases and reliance on fossil fuels becomes unsustainable, hydrogen presents a promising clean energy alternative due to its high energy density and potential for significant CO<sub>2</sub> emission reductions. However, current hydrogen production methods largely depend on fossil fuels, contributing to considerable CO<sub>2</sub> emissions and underscoring the need to transition to renewable energy sources and improved production technologies. Life Cycle Analysis (LCA) is essential for evaluating and optimizing hydrogen production by assessing environmental impacts such as Global Warming Potential (GWP), energy consumption, toxicity, and water usage. The key findings indicate that energy sources and feedstocks heavily influence the environmental impacts of hydrogen production. Hydrogen production from renewable energy sources, particularly wind, solar, and hydropower, demonstrates significantly lower environmental impacts than grid electricity and fossil fuel-based methods. Conversely, hydrogen production from grid electricity primarily derived from fossil fuels shows a high GWP. Furthermore, challenges related to data accuracy, economic analysis integration, and measuring mixed gases are discussed. Future research should focus on improving data accuracy, assessing the impact of technological advancements, and exploring new hydrogen production methods. Harmonizing assessment methodologies across different production pathways and standardizing functional units, such as “1 kg of hydrogen produced, “ are critical for enabling transparent and consistent sustainability evaluations. Techniques such as stochastic modelling and Monte Carlo simulations can improve uncertainty management and enhance the reliability of LCA results.</div></div>","PeriodicalId":422,"journal":{"name":"Science of the Total Environment","volume":"977 ","pages":"Article 179355"},"PeriodicalIF":8.0000,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ways to assess hydrogen production via life cycle analysis\",\"authors\":\"Yang Chen , Wenshan Guo , Huu Hao Ngo , Zhuo Chen , Chunhai Wei , Xuan Thanh Bui , Tra Van Tung , Huiying Zhang\",\"doi\":\"10.1016/j.scitotenv.2025.179355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>As global energy demand increases and reliance on fossil fuels becomes unsustainable, hydrogen presents a promising clean energy alternative due to its high energy density and potential for significant CO<sub>2</sub> emission reductions. However, current hydrogen production methods largely depend on fossil fuels, contributing to considerable CO<sub>2</sub> emissions and underscoring the need to transition to renewable energy sources and improved production technologies. Life Cycle Analysis (LCA) is essential for evaluating and optimizing hydrogen production by assessing environmental impacts such as Global Warming Potential (GWP), energy consumption, toxicity, and water usage. The key findings indicate that energy sources and feedstocks heavily influence the environmental impacts of hydrogen production. Hydrogen production from renewable energy sources, particularly wind, solar, and hydropower, demonstrates significantly lower environmental impacts than grid electricity and fossil fuel-based methods. Conversely, hydrogen production from grid electricity primarily derived from fossil fuels shows a high GWP. Furthermore, challenges related to data accuracy, economic analysis integration, and measuring mixed gases are discussed. Future research should focus on improving data accuracy, assessing the impact of technological advancements, and exploring new hydrogen production methods. Harmonizing assessment methodologies across different production pathways and standardizing functional units, such as “1 kg of hydrogen produced, “ are critical for enabling transparent and consistent sustainability evaluations. Techniques such as stochastic modelling and Monte Carlo simulations can improve uncertainty management and enhance the reliability of LCA results.</div></div>\",\"PeriodicalId\":422,\"journal\":{\"name\":\"Science of the Total Environment\",\"volume\":\"977 \",\"pages\":\"Article 179355\"},\"PeriodicalIF\":8.0000,\"publicationDate\":\"2025-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science of the Total Environment\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S004896972500991X\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science of the Total Environment","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S004896972500991X","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Ways to assess hydrogen production via life cycle analysis
As global energy demand increases and reliance on fossil fuels becomes unsustainable, hydrogen presents a promising clean energy alternative due to its high energy density and potential for significant CO2 emission reductions. However, current hydrogen production methods largely depend on fossil fuels, contributing to considerable CO2 emissions and underscoring the need to transition to renewable energy sources and improved production technologies. Life Cycle Analysis (LCA) is essential for evaluating and optimizing hydrogen production by assessing environmental impacts such as Global Warming Potential (GWP), energy consumption, toxicity, and water usage. The key findings indicate that energy sources and feedstocks heavily influence the environmental impacts of hydrogen production. Hydrogen production from renewable energy sources, particularly wind, solar, and hydropower, demonstrates significantly lower environmental impacts than grid electricity and fossil fuel-based methods. Conversely, hydrogen production from grid electricity primarily derived from fossil fuels shows a high GWP. Furthermore, challenges related to data accuracy, economic analysis integration, and measuring mixed gases are discussed. Future research should focus on improving data accuracy, assessing the impact of technological advancements, and exploring new hydrogen production methods. Harmonizing assessment methodologies across different production pathways and standardizing functional units, such as “1 kg of hydrogen produced, “ are critical for enabling transparent and consistent sustainability evaluations. Techniques such as stochastic modelling and Monte Carlo simulations can improve uncertainty management and enhance the reliability of LCA results.
期刊介绍:
The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere.
The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.