Model-Based Approach for the Evaluation of Materials and Processes for Post-Combustion Carbon Dioxide Capture from Flue Gas by PSA/VSA Processes

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• 作者：George N. Nikolaidis ; Eustathios S. Kikkinides ; Michael C. Georgiadis
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2016
• 出版时间：January 27, 2016
• 年：2016
• 卷：55
• 期：3
• 页码：635-646
• 全文大小：563K
• ISSN：1520-5045

文摘

This work presents a mathematical modeling framework for the simulation and optimization of PSA/VSA processes for postcombustion CO₂ capture from dry flue gas (85% N₂, 15% CO₂). The modeling framework is first validated against literature data, illustrating good agreement in terms of several process performance indicators. Accordingly, the model is used to evaluate three available potential adsorbents for CO₂ capture, namely, zeolite 13X, activated carbon and metal organic framework (MOF), Mg-MOF-74. A two-bed configuration (six-step VSA cycle) with light product pressurization has been employed in all simulations. The results from systematic comparative simulations demonstrate that zeolite 13X has the best process performance among the three adsorbents, in terms of CO₂ purity and CO₂ recovery. On the other hand, Mg-MOF-74 appears to be a promising adsorbent for CO₂ capture, as it has considerably higher CO₂ productivity compared to the other two adsorbents. Furthermore, process optimization studies using zeolite 13X and Mg-MOF-74, have been performed to minimize energy consumption for specified minimum requirements in CO₂ purity and in CO₂ recovery at nearly atmospheric feed pressures. The optimization results indicate that the minimum target of 90% in CO₂ purity and 90% in CO₂ recovery is met for the VSA process under consideration for both adsorbents at different operating conditions resulting in different energy requirements. Thus, there is a complex relationship between optimal process performance indicators and operating conditions that varies among the different adsorbents and cannot be quantified by simple comparison of CO₂/N₂ adsorption isotherms and selectivity data. Evidently, detailed process modeling, simulation and optimization strategies, provide the most reliable way to evaluate both qualitatively and quantitatively potential adsorbents for CO₂ capture.