Modeling, Simulation, and Optimization of Postcombustion CO2 Capture for Variable Feed Concentration and Flow Rate. 1. Chemical Absorption and Membrane Processes

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• 作者：M. M. Faruque Hasan ; Richard C. Baliban ; Josephine A. Elia ; Christodoulos A. Floudas
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2012
• 出版时间：December 5, 2012
• 年：2012
• 卷：51
• 期：48
• 页码：15642-15664
• 全文大小：873K
• 年卷期：v.51,no.48(December 5, 2012)
• ISSN：1520-5045

文摘

Studies on leading technologies for industrial CO₂ capture are performed. Each technology includes flue gas dehydration, capture of at least 90% of CO₂ from the feed, and compression to almost pure CO₂ for sequestration at 150 bar. This paper presents the modeling, simulation, optimization, and energy integration of a monoethanolamine (MEA)-based chemical absorption process and a multistage membrane process over a range of feed compositions (1鈥?0% CO₂, 5.5鈥?5% H₂O, 5.5% O₂, and the balance N₂) and flow rates (0.1, 1, 5, and 10 kmol/s). A superstructure of process alternatives is developed to select the optimum dehydration strategy for the feed to each process. A rigorous simulation-based optimization model is proposed to determine the minimum annualized cost of the MEA-absorption process. The MEA-absorption process is energy integrated through heat exchanger network optimization. A novel mathematical model is developed for the optimization of multistage and multicomponent separation of CO₂ using membranes, which can be also used for a range of membrane-based gas separation applications. The results showing the optimum investment, operating, and total costs provide a quantitative approach toward technology comparison and scaling up the absorption- and membrane-based CO₂ capture from various CO₂ emitting industries. Explicit expressions for the investment and operating costs of each alternative postcombustion CO₂ capture process as functions of feed flow rate and CO₂ composition are also developed for the first time. This may assist the decision-makers in selecting the cost-appropriate technology for comprehensive carbon management by taking the diverse emission scenarios into consideration.