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Process Synthesis, Modeling and Optimization of Continuous Cooling Crystallization with Heat Integration—Application to the Chilled Ammonia CO2 Capture Process
Industrial & Engineering Chemistry Research ( IF 4.2 ) Pub Date : 2018-08-17 , DOI: 10.1021/acs.iecr.8b01993
Federico Milella 1 , Matteo Gazzani 2 , Daniel Sutter 1 , Marco Mazzotti 1
Affiliation  

A systematic method is presented to design multistage continuous crystallization processes with heat integration. A general method has been applied to a specific case, namely the integrated absorption-based process for postcombustion CO2 capture in which solid formation is exploited. At first, a set of viable process flow schemes based on different equipment configurations for crystallization has been selected. Then, a rate-based model capable of describing the phenomena occurring during crystallization and dissolution of particles coupled with heat transfer has been developed for design and optimization purposes. Because of the broad design space and the interplay between unit operations, the mathematical model stands out as the key tool for the assessment of the process feasibility. Furthermore, a multiobjective optimization of the solid handling section has been performed, the aim of which is twofold: identifying optimal operating conditions and gathering information on the effect of and the synergy among the different design variables on the process performance. The results are evaluated on the basis of key performance indicators such as productivity and specific energy penalty, as well as of the particle size distribution of the crystals obtained during crystallization.

中文翻译:

热集成的连续冷却结晶过程综合,建模与优化—在冷氨CO 2捕集工艺中的应用

提出了一种系统的方法来设计具有热集成的多阶段连续结晶过程。一种通用方法已应用于特定情况,即燃烧后CO 2的基于吸收的集成过程捕获其中利用了固体形成的物质。首先,基于结晶的不同设备配置,选择了一套可行的工艺流程方案。然后,为了设计和优化的目的,已经开发了一种基于速率的模型,该模型能够描述在颗粒的结晶和溶解过程中发生的现象以及热传递。由于广阔的设计空间和单元操作之间的相互作用,因此数学模型是评估过程可行性的关键工具。此外,已经对固体处理部分进行了多目标优化,其目的是双重的:确定最佳操作条件并收集有关不同设计变量对过程性能的影响和协同作用的信息。
更新日期:2018-08-17
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