Novel Shortcut Estimation Method for Regeneration Energy of Amine Solvents in an Absorption-Based Carbon Capture Process
Novel Shortcut Estimation Method for Regeneration Energy of Amine Solvents in an Absorption-Based Carbon Capture Process
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DOI：
10.1021/es504684x
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发表时间：
2015-02-03
影响因子：
11.4
通讯作者：
Lee, Kwang Soon
中科院分区：
文献类型：
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作者：
Kim, Huiyong;Hwang, Sung June;Lee, Kwang Soon
在各种二氧化碳捕集工艺中，水基胺吸收工艺被认为是近期部署最有希望的。然而，新开发的溶剂的性能评估仍然需要复杂且耗时的程序，例如中试工厂或开发严格的模拟器。在工艺开发的早期阶段，缺乏准确、简单的能源性能计算方法，导致经济上可行的二氧化碳捕集工艺的开发时间延长并增加了费用。本文提出了一种新颖但简单的方法来可靠地计算标准胺基碳捕获过程中的再生能量。仔细检查汽提塔行为并利用汽提塔周围的能量平衡方程，可以仅使用气液平衡和热量数据来计算再生能量。通过与两种著名溶剂单乙醇胺（MEA）和哌嗪（PZ）的严格模拟进行比较，证实了所提出方法的可靠性。与之前的研究相比，该方法可以更简单、更快、更准确地预测各种运行条件下的再生能量。这使得能够更快、更精确地筛选各种溶剂并更快地优化工艺变量，并最终加速经济上可部署的二氧化碳捕集工艺的开发。
Among various CO2 capture processes, the aqueous amine-based absorption process is considered the most promising for near-term deployment. However, the performance evaluation of newly developed solvents still requires complex and time-consuming procedures, such as pilot plant tests or the development of a rigorous simulator. Absence of accurate and simple calculation methods for the energy performance at an early stage of process development has lengthened and increased expense of the development of economically feasible CO2 capture processes. In this paper, a novel but simple method to reliably calculate the regeneration energy in a standard amine-based carbon capture process is proposed. Careful examination of stripper behaviors and exploitation of energy balance equations around the stripper allowed for calculation of the regeneration energy using only vapor-liquid equilibrium and caloric data. Reliability of the proposed method was confirmed by comparing to rigorous simulations for two well-known solvents, monoethanolamine (MEA) and piperazine (PZ). The proposed method can predict the regeneration energy at various operating conditions with greater simplicity, greater speed, and higher accuracy than those proposed in previous studies. This enables faster and more precise screening of various solvents and faster optimization of process variables and can eventually accelerate the development of economically deployable CO2 capture processes.