Recent progress on equation-oriented optimization of complex chemical processes

Kang, Yuyang; Luo, Yiqing; Yuan, Xin

doi:10.1016/j.cjche.2021.10.018

Cited by 7 publications

(1 citation statement)

References 54 publications

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“…To tackle the convergence difficulty of the discretization method, Tsay et al presented a pseudo-transient (PT) modeling − -assisted discretization method to simulate and optimize two periodic processes, i.e., pressure swing adsorption and simulated moving bed chromatography, and demonstrated the robustness and efficiency of this approach in solving BVPs. The method does not intend to solve the discretized equation systems simultaneously; rather, it introduces an additional integration time domain and converts the discretized equation systems into constraint-initially-relaxed partial differential and algebraic equations (PDAEs) whose attractors are the same as the steady-state solution of the original model.…”

Section: Introductionmentioning

confidence: 99%

Pseudo-Transient Modeling-Assisted Rigorous Optimization of Cyclic Distillation Considering Tray Hydraulics

Kang

Luo

Yuan

2023

Ind. Eng. Chem. Res.

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Cyclic distillation is a novel process intensification of distillation with higher separation efficiency. However, its efficient simulation and rigorous optimization have been challenging because a coupled boundary value problem must be solved. This study proposes a novel simulation and optimization approach for cyclic distillation based on the pseudo-transient modeling-assisted discretization method. This method involves discretizing the original dynamic model as an algebraic equation system and then reformulating it as a pseudo-transient model to address the convergence difficulty. Optimization of cyclic distillation was achieved for the first time using a gradient-based optimization method while considering tray hydraulics. The proposed method is shown by illustrating examples more efficiently than conventional methods. Optimization results indicate that the process cost is negatively correlated with the vapor flow period duration, one of the decision variables; however, the process cost could not further reduce at the optimal point due to activation of the weeping constraint provided by the hydraulic model.

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