Amine‐based chemical absorption has become the most mature technology among carbon dioxide capture processes, featuring the advantages of high separation efficiencies and its simplicity to attach it to existent industrial facilities. Nevertheless, further improvements on its performance are required in order to implement this technology to a wider extent. Energy expenditure at the solvent regeneration unit has been remarked as the major drawback of the process under discussion; therefore, the main objective of this work is to compute optimal operating policies which ensure minimum heat load at the reboiler along with reasonable removal efficiencies. A deterministic mathematical model of a reported pilot plant was deployed as the basis for the nonlinear programming optimization formulations, using a rate‐based approach and an eNRTL thermodynamic framework. Several optimization scenarios were studied to account for diverse capture targets and degrees of freedom. Furthermore, sensitivity analyses were performed to understand the stand‐alone effect of some variables on the process. Results reflect the importance of optimizing the complete plant to account for significant interactions between variables, as well as choosing an operational arrangement according to the separation goal demanded.

中文翻译：

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通过基于非平衡速率的建模方法优化胺-二氧化碳的捕集过程

基于胺的化学吸收已成为二氧化碳捕获过程中最成熟的技术，具有分离效率高的优点，并且易于将其连接到现有的工业设施。然而，为了更广泛地实施该技术，需要对其性能进行进一步的改进。溶剂再生单元的能量消耗已被标记为所讨论方法的主要缺点；因此，这项工作的主要目的是计算最佳操作策略，以确保再沸器的最小热负荷以及合理的去除效率。部署了报道的中试工厂的确定性数学模型，作为非线性规划优化公式的基础，使用基于比率的方法和eNRTL热力学框架。研究了几种优化方案以说明各种捕获目标和自由度。此外，进行了敏感性分析以了解某些变量对过程的独立影响。结果反映了优化整个工厂以解决变量之间的重大相互作用以及根据所需的分离目标选择运营安排的重要性。