Computational evaluation of micropores wetting effect on the removal process of CO₂ through the membrane contactor.

IF 3.9 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Reports Pub Date : 2025-01-04 DOI:10.1038/s41598-024-84774-6

Abdulrahman Sumayli, Zakarya Ahmed, Vicky Jain, R Roopashree, Anjan Kumar, Aditya Kashyap, Mukesh Kumari, Sofia Gupta, G V Siva Prasad, Munthar Kadhim Abosaoda

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引用次数: 0

Abstract

In the current years, gas-liquid membrane contactors (GLMCs) have been introduced as a promising, versatile and easy-to-operate technology for mitigating the emission of major greenhouse contaminants (i.e., CO₂ and H₂S) to the ecosystem. This paper tries to computationally study the role of membrane pores wettability on the removal performance of CO₂ inside the HFMC. To fulfill this purpose, a mathematical model based on finite element procedure (FEP) has been employed to solve the momentum and mass transport equations in the partial-wetting (50% wetting of micropores) and non-wetting (0% wetting of micropores) modes of membrane during operation. Additionally, a comprehensive simulation was ensembled to predict the results. In this research, 2-amino-2-methyl-l-propanol (AMP) has been employed as a relatively novel alkanolamine absorbent to separate CO₂ form CO₂/N₂ mixture. Analysis of the results implied that the wetting of membrane micropores significantly deteriorated the removal efficiency due to the enhancing mass transfer resistance towards transferring CO₂ (75% in the non-wetting mode > 8% considering 50% wetting of micropores).

查看原文本刊更多论文

微孔润湿对膜接触器去除CO2过程影响的计算评价。

近年来，气液膜接触器（glmc）作为一种有前途的、通用的、易于操作的技术被引入，用于减少主要温室污染物（即CO2和H2S）向生态系统的排放。本文试图通过计算研究膜孔润湿性对HFMC内部CO2去除性能的影响。为了实现这一目的，采用基于有限元程序（FEP）的数学模型求解了膜在运行过程中部分润湿（微孔润湿50%）和非润湿（微孔润湿0%）两种模式下的动量和质量输运方程。此外，还进行了综合模拟以预测结果。在本研究中，2-氨基-2-甲基-l-丙醇（AMP）作为一种相对较新的烷醇胺吸附剂用于从CO2/N2混合物中分离CO2。分析结果表明，膜微孔的润湿显著降低了去除效率，因为膜微孔对CO2的传质阻力增强（非润湿模式下为75%，考虑微孔润湿50%时为8%）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Scientific Reports Natural Science Disciplines-

CiteScore

7.50

自引率

4.30%

发文量

19567

审稿时长

3.9 months

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