Madupathi Madhu Mala , Aarti Tallam , Shiva Prasad Nandala , Sumana Chenna , Nettem V. Choudary , Sundergopal Sridhar
{"title":"Synthesis and characterization of polymeric membrane contactors for biogas upgrading: Experimental validation and AI-based performance prediction","authors":"Madupathi Madhu Mala , Aarti Tallam , Shiva Prasad Nandala , Sumana Chenna , Nettem V. Choudary , Sundergopal Sridhar","doi":"10.1016/j.jclepro.2025.146322","DOIUrl":null,"url":null,"abstract":"<div><div>Biogas is a vital renewable energy source that requires the efficient separation of acid gases, such as CO<sub>2</sub> and H<sub>2</sub>S, to enhance its energy value and prevent corrosion of equipment or pipelines. Gas–liquid membrane contactors (GLMCs) are emerging as the most promising option for upgrading biogas. This study aims to develop an efficient indigenous flat-sheet GLMC system for separating CO<sub>2</sub> from biogas using various hydrophobic porous membranes, including polyvinylidene fluoride, polyvinyl chloride, and polystyrene, using aqueous absorbents such as sodium hydroxide (NaOH) and monoethanolamine (MEA). The polymeric membranes were synthesized via the phase inversion technique and characterized for their structural and morphological properties, contact angle, surface roughness, crystallinity, and functional groups. The effects of the liquid absorbent's flow rate and concentration on CO<sub>2</sub> separation were also investigated. Results showed that the polystyrene membrane exhibited the highest CO<sub>2</sub> absorption flux of 10.71 × 10<sup>−2</sup> mol/m<sup>2</sup>·s when using 0.2 M NaOH as the absorbent, with constant gas and liquid flow rates of 0.4 L/min and 0.5 L/min, respectively. Furthermore, different AI models were developed using the experimental data to predict the mass transfer rate of CO<sub>2</sub> in the membrane contactor. A comparative assessment revealed that the extra trees regressor model was the most accurate model for predicting GLMC performance in biogas separation.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"522 ","pages":"Article 146322"},"PeriodicalIF":10.0000,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cleaner Production","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959652625016725","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Biogas is a vital renewable energy source that requires the efficient separation of acid gases, such as CO2 and H2S, to enhance its energy value and prevent corrosion of equipment or pipelines. Gas–liquid membrane contactors (GLMCs) are emerging as the most promising option for upgrading biogas. This study aims to develop an efficient indigenous flat-sheet GLMC system for separating CO2 from biogas using various hydrophobic porous membranes, including polyvinylidene fluoride, polyvinyl chloride, and polystyrene, using aqueous absorbents such as sodium hydroxide (NaOH) and monoethanolamine (MEA). The polymeric membranes were synthesized via the phase inversion technique and characterized for their structural and morphological properties, contact angle, surface roughness, crystallinity, and functional groups. The effects of the liquid absorbent's flow rate and concentration on CO2 separation were also investigated. Results showed that the polystyrene membrane exhibited the highest CO2 absorption flux of 10.71 × 10−2 mol/m2·s when using 0.2 M NaOH as the absorbent, with constant gas and liquid flow rates of 0.4 L/min and 0.5 L/min, respectively. Furthermore, different AI models were developed using the experimental data to predict the mass transfer rate of CO2 in the membrane contactor. A comparative assessment revealed that the extra trees regressor model was the most accurate model for predicting GLMC performance in biogas separation.
期刊介绍:
The Journal of Cleaner Production is an international, transdisciplinary journal that addresses and discusses theoretical and practical Cleaner Production, Environmental, and Sustainability issues. It aims to help societies become more sustainable by focusing on the concept of 'Cleaner Production', which aims at preventing waste production and increasing efficiencies in energy, water, resources, and human capital use. The journal serves as a platform for corporations, governments, education institutions, regions, and societies to engage in discussions and research related to Cleaner Production, environmental, and sustainability practices.