Nahyeon An , Boram Gu , Junghwan Kim , Seongbin Ga
{"title":"推进绿色氢气纯化:使用新型软件 pySembrane 对膜工艺进行多尺度评估","authors":"Nahyeon An , Boram Gu , Junghwan Kim , Seongbin Ga","doi":"10.1016/j.rser.2024.114998","DOIUrl":null,"url":null,"abstract":"<div><div>Membrane-based separation processes are increasingly recognized as effective purification systems for green hydrogen, produced through ammonia cracking technology. These processes are valued for their energy efficiency, operational simplicity, and selective capabilities, and they benefit significantly from simulation-based approaches. Such methodologies expedite the exploration and evaluation of various membrane materials and operational strategies, which are crucial for the rapid development and optimization of membrane systems. However, the application of these simulations is often limited due to restricted access to process simulations and compatibility issues with existing commercial software tools. Additionally, the absence of software capable of assessing material properties and calculating the economic impacts at different scales limits the integration of studies from the molecular to the plant level. To address these challenges, this study introduces pySembrane, an open-source Python-based simulation package designed to lower the barriers to entry for the development and analysis of membrane systems. PySembrane provides users with advanced tools for the analysis of membrane systems, including specialized functions for evaluating material properties and process economics. This study presents case studies that illustrate the use of pySembrane in the screening of membrane materials and the optimization of membrane-based separation processes for the purification of green hydrogen. It also presents a case study on the integration of the membrane-based separation process with other unit operations, such as compressors and catalytic reactors. These case studies demonstrate the effectiveness of pySembrane in advancing membrane materials and operational strategies for green hydrogen separation, highlighting its potential to enhance process efficiency and sustainability.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"208 ","pages":"Article 114998"},"PeriodicalIF":16.3000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancing green hydrogen purification: Multiscale evaluation of membrane processes using novel software, pySembrane\",\"authors\":\"Nahyeon An , Boram Gu , Junghwan Kim , Seongbin Ga\",\"doi\":\"10.1016/j.rser.2024.114998\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Membrane-based separation processes are increasingly recognized as effective purification systems for green hydrogen, produced through ammonia cracking technology. These processes are valued for their energy efficiency, operational simplicity, and selective capabilities, and they benefit significantly from simulation-based approaches. Such methodologies expedite the exploration and evaluation of various membrane materials and operational strategies, which are crucial for the rapid development and optimization of membrane systems. However, the application of these simulations is often limited due to restricted access to process simulations and compatibility issues with existing commercial software tools. Additionally, the absence of software capable of assessing material properties and calculating the economic impacts at different scales limits the integration of studies from the molecular to the plant level. To address these challenges, this study introduces pySembrane, an open-source Python-based simulation package designed to lower the barriers to entry for the development and analysis of membrane systems. PySembrane provides users with advanced tools for the analysis of membrane systems, including specialized functions for evaluating material properties and process economics. This study presents case studies that illustrate the use of pySembrane in the screening of membrane materials and the optimization of membrane-based separation processes for the purification of green hydrogen. It also presents a case study on the integration of the membrane-based separation process with other unit operations, such as compressors and catalytic reactors. These case studies demonstrate the effectiveness of pySembrane in advancing membrane materials and operational strategies for green hydrogen separation, highlighting its potential to enhance process efficiency and sustainability.</div></div>\",\"PeriodicalId\":418,\"journal\":{\"name\":\"Renewable and Sustainable Energy Reviews\",\"volume\":\"208 \",\"pages\":\"Article 114998\"},\"PeriodicalIF\":16.3000,\"publicationDate\":\"2024-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Renewable and Sustainable Energy Reviews\",\"FirstCategoryId\":\"1\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S136403212400724X\",\"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":"Renewable and Sustainable Energy Reviews","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S136403212400724X","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}
Advancing green hydrogen purification: Multiscale evaluation of membrane processes using novel software, pySembrane
Membrane-based separation processes are increasingly recognized as effective purification systems for green hydrogen, produced through ammonia cracking technology. These processes are valued for their energy efficiency, operational simplicity, and selective capabilities, and they benefit significantly from simulation-based approaches. Such methodologies expedite the exploration and evaluation of various membrane materials and operational strategies, which are crucial for the rapid development and optimization of membrane systems. However, the application of these simulations is often limited due to restricted access to process simulations and compatibility issues with existing commercial software tools. Additionally, the absence of software capable of assessing material properties and calculating the economic impacts at different scales limits the integration of studies from the molecular to the plant level. To address these challenges, this study introduces pySembrane, an open-source Python-based simulation package designed to lower the barriers to entry for the development and analysis of membrane systems. PySembrane provides users with advanced tools for the analysis of membrane systems, including specialized functions for evaluating material properties and process economics. This study presents case studies that illustrate the use of pySembrane in the screening of membrane materials and the optimization of membrane-based separation processes for the purification of green hydrogen. It also presents a case study on the integration of the membrane-based separation process with other unit operations, such as compressors and catalytic reactors. These case studies demonstrate the effectiveness of pySembrane in advancing membrane materials and operational strategies for green hydrogen separation, highlighting its potential to enhance process efficiency and sustainability.
期刊介绍:
The mission of Renewable and Sustainable Energy Reviews is to disseminate the most compelling and pertinent critical insights in renewable and sustainable energy, fostering collaboration among the research community, private sector, and policy and decision makers. The journal aims to exchange challenges, solutions, innovative concepts, and technologies, contributing to sustainable development, the transition to a low-carbon future, and the attainment of emissions targets outlined by the United Nations Framework Convention on Climate Change.
Renewable and Sustainable Energy Reviews publishes a diverse range of content, including review papers, original research, case studies, and analyses of new technologies, all featuring a substantial review component such as critique, comparison, or analysis. Introducing a distinctive paper type, Expert Insights, the journal presents commissioned mini-reviews authored by field leaders, addressing topics of significant interest. Case studies undergo consideration only if they showcase the work's applicability to other regions or contribute valuable insights to the broader field of renewable and sustainable energy. Notably, a bibliographic or literature review lacking critical analysis is deemed unsuitable for publication.