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Simultaneous Optimization of Heat-Integrated Extractive Distillation with a Recycle Feed Using Pseudo Transient Continuation Models
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2018-10-30 , DOI: 10.1021/acs.iecr.8b02728 Fenggang Cui 1 , Chengtian Cui 1 , Jinsheng Sun 1
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2018-10-30 , DOI: 10.1021/acs.iecr.8b02728 Fenggang Cui 1 , Chengtian Cui 1 , Jinsheng Sun 1
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This paper proposes a heat-integrated extractive distillation with a recycle feed (HIEDRF), including a extractive distillation column (EDC), solvent recovery column (SRC), and concentrator. Heat integration was easily achieved by coupling the SRC condenser and EDC reboiler. However, optimizing the complex HIEDRF is challenging, because the associated variables in both distillation and heat integration systems must be considered simultaneously. To solve this multivariable optimization problem, we developed a new pseudo transient continuation (PTC) model. Based on a mixed steady-state–time relaxation optimization algorithm, the associated PTC model was solved using Aspen Custom Modeler. Two case studies, acetone/methanol and methanol/toluene, were investigated. For the acetone/methanol system, the HIEDRF reduced energy consumption by around 27% and total annualized cost by around 16% with respect to both the conventional extractive distillation system and extractive distillation with a recycle feed. For the methanol/toluene system, the reductions were around 21% and 10%, respectively.
中文翻译：
使用伪瞬态连续模型同时优化带循环进料的热集成萃取蒸馏
本文提出了一种利用循环进料（HIEDRF）进行的热集成萃取蒸馏，包括萃取蒸馏塔（EDC），溶剂回收塔（SRC）和浓缩器。通过将SRC冷凝器和EDC再沸器耦合起来，可以轻松实现热集成。但是，优化复杂的HIEDRF具有挑战性，因为必须同时考虑蒸馏和热集成系统中的相关变量。为了解决这个多变量优化问题，我们开发了一个新的伪瞬态连续性（PTC）模型。基于混合稳态-时间松弛优化算法，使用Aspen Custom Modeler求解了相关的PTC模型。研究了两个案例研究：丙酮/甲醇和甲醇/甲苯。对于丙酮/甲醇系统，相对于传统的萃取蒸馏系统和带循环进料的萃取蒸馏，HIEDRF减少了约27％的能源消耗，并降低了约16％的年度总成本。对于甲醇/甲苯系统，减少量分别约为21％和10％。
更新日期：2018-10-31
中文翻译：
使用伪瞬态连续模型同时优化带循环进料的热集成萃取蒸馏
本文提出了一种利用循环进料（HIEDRF）进行的热集成萃取蒸馏，包括萃取蒸馏塔（EDC），溶剂回收塔（SRC）和浓缩器。通过将SRC冷凝器和EDC再沸器耦合起来，可以轻松实现热集成。但是，优化复杂的HIEDRF具有挑战性，因为必须同时考虑蒸馏和热集成系统中的相关变量。为了解决这个多变量优化问题，我们开发了一个新的伪瞬态连续性（PTC）模型。基于混合稳态-时间松弛优化算法，使用Aspen Custom Modeler求解了相关的PTC模型。研究了两个案例研究：丙酮/甲醇和甲醇/甲苯。对于丙酮/甲醇系统，相对于传统的萃取蒸馏系统和带循环进料的萃取蒸馏，HIEDRF减少了约27％的能源消耗，并降低了约16％的年度总成本。对于甲醇/甲苯系统，减少量分别约为21％和10％。
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