{"title":"Aspen Adsorption simulation breakthrough curve to determine adsorption time in CH4/N2 adsorption separation by activated carbon","authors":"Youhan Chen, Yunfeng Hu","doi":"10.1016/j.jtice.2025.106065","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Pressure swing adsorption (PSA) is a crucial technology for CH₄/N₂ gas separation. While Aspen Adsorption numerical simulation offers an efficient approach to studying this process, precise guidelines for parameter setting are lacking. This study aims to address this gap using activated carbon as an adsorbent.</div></div><div><h3>Methods</h3><div>Aspen Adsorption simulations were used to develop breakthrough curves and virtual tower models for CH₄/N₂ separation. The study analyzed the impact of adsorption time on product purity and recovery. Additionally, concentration curves were examined to determine their influence on adsorption time setting.</div></div><div><h3>Significant Findings</h3><div>The optimal adsorption time for CH₄/N₂ adsorption on activated carbon was determined to be 850 s, which corresponds to the initial change in slope of the concentration curve. At this point, the system achieves optimal performance, with a CH₄ purity of 82.3 % and a recovery rate of 95.4 %. Furthermore, near the initial slope change (850 s), the concentration curve stabilizes, and the bed utilization rate reaches a higher level. To prevent output gas contamination, the step conversion process should be initiated before the breakthrough point (1450 s). This study provides valuable guidelines for optimizing pressure swing adsorption operations in CH₄/N₂ separation using activated carbon.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"171 ","pages":"Article 106065"},"PeriodicalIF":6.3000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Taiwan Institute of Chemical Engineers","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S187610702500118X","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/3 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Pressure swing adsorption (PSA) is a crucial technology for CH₄/N₂ gas separation. While Aspen Adsorption numerical simulation offers an efficient approach to studying this process, precise guidelines for parameter setting are lacking. This study aims to address this gap using activated carbon as an adsorbent.
Methods
Aspen Adsorption simulations were used to develop breakthrough curves and virtual tower models for CH₄/N₂ separation. The study analyzed the impact of adsorption time on product purity and recovery. Additionally, concentration curves were examined to determine their influence on adsorption time setting.
Significant Findings
The optimal adsorption time for CH₄/N₂ adsorption on activated carbon was determined to be 850 s, which corresponds to the initial change in slope of the concentration curve. At this point, the system achieves optimal performance, with a CH₄ purity of 82.3 % and a recovery rate of 95.4 %. Furthermore, near the initial slope change (850 s), the concentration curve stabilizes, and the bed utilization rate reaches a higher level. To prevent output gas contamination, the step conversion process should be initiated before the breakthrough point (1450 s). This study provides valuable guidelines for optimizing pressure swing adsorption operations in CH₄/N₂ separation using activated carbon.
期刊介绍:
Journal of the Taiwan Institute of Chemical Engineers (formerly known as Journal of the Chinese Institute of Chemical Engineers) publishes original works, from fundamental principles to practical applications, in the broad field of chemical engineering with special focus on three aspects: Chemical and Biomolecular Science and Technology, Energy and Environmental Science and Technology, and Materials Science and Technology. Authors should choose for their manuscript an appropriate aspect section and a few related classifications when submitting to the journal online.