Control Relevant Model of Amine Scrubbing for CO2 Capture from Power Plants

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• 作者：Matthew S. Walters ; Yu-Jeng Lin ; Darshan J. Sachde ; Thomas F. Edgar ; Gary T. Rochelle
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2016
• 出版时间：February 17, 2016
• 年：2016
• 卷：55
• 期：6
• 页码：1690-1700
• 全文大小：755K
• ISSN：1520-5045

文摘

A low-order amine scrubbing model was developed for an intercooled absorber and advanced flash stripper configuration with piperazine solvent. The low-order lumped parameter model uses semi-empirical thermodynamics and rate-based mass transfer and embeds reaction kinetics in a constant overall transfer coefficient. The predicted off-design steady state of this model is compared to a high-order Aspen Plus simulation for 100–85% power plant load. The difference in CO₂ removal rate between the two models is less than 1% when power plant load is greater than 94%. The removal rate is systematically overpredicted in the low-order model because a constant CO₂ mass transfer coefficient in the absorber leads to an overprediction of absorber performance at part-load operation. Compared to pilot plant data, the low-order model captures the dynamic response of a step change in the stripper pressure control valve. The characteristic time of the total CO₂ inventory is found to be 77 min, compared to a total liquid residence time of 48 min. The low-order model sufficiently represents process behavior and will be used in future work to screen regulatory process control strategies.