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Adsorption Performance of 5A Molecular Sieve Zeolite in Water Vapor-Binary Gas Environment: Experimental and Modeling Evaluation
Journal of Industrial and Engineering Chemistry ( IF 5.9 ) Pub Date : 2018-08-01 , DOI: 10.1016/j.jiec.2018.03.014
Firas A. AbdulKareem , Azmi Mohd. Shariff , Sami Ullah , Tan Lian See , Lau Kok Keong , Nurhayati Mellon

Abstract In this work GERG2008 EoS was incorporated in a volumetric-gravimetric-chromatographic technique. The system utilized to measure in-mixtures components experimental selective isotherms individually, with the ability to analyze water vapor–gas components in the same mixture. 5A zeolite was used as a solid adsorbent for binary and ternary CO2/CH4/H2O mixtures adsorption at 50 °C and 70 °C temperature up to 10 bar pressure. Artificial neural network (ANN) modeling was applied to predict ternary and binary gaseous with the presence of water mixtures. This study delivered better clarification in the field of selectivity and reliability in the term of multicomponent and dual phase mixtures analysis.

中文翻译:

5A分子筛沸石在水汽-二元气体环境中的吸附性能:实验与建模评价

摘要 在这项工作中,GERG2008 EoS 被纳入体积重量色谱技术。该系统用于单独测量混合物组分的实验选择性等温线,能够分析同一混合物中的水蒸气-气体组分。5A 沸石用作固体吸附剂,用于二元和三元 CO2/CH4/H2O 混合物在 50 °C 和 70 °C 温度下,最高 10 bar 压力下的吸附。人工神经网络 (ANN) 建模用于预测存在水混合物的三元和二元气态。这项研究在多组分和双相混合物分析方面的选择性和可靠性领域提供了更好的澄清。
更新日期:2018-08-01
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