An MPCC Reactive Distillation Optimization Model for Multi-Objective Fischer–Tropsch Synthesis

In the design of a reactive distillation column, aspects such as column configuration, catalyst loading, tray temperature, and side extraction rates should be well considered. Though preferences in Fischer–Tropsch (FT) synthesis may vary, it is acknowledged that the final product contains a wide ran...

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Veröffentlicht in:Computer Aided Chemical Engineering Jg. 46; S. 451 - 456
Hauptverfasser: Zhang, Yizu, Masuku, Cornelius M., Biegler, Lorenz T.
Format: Buchkapitel
Sprache:Englisch
Veröffentlicht: 2019
Schlagworte:
Equation-Oriented Optimization Framework
Low-Temperature Fischer–Tropsch
Mathematical Programming with Complementarity Constraints
Process Intensification
Vapor–Liquid Equilibrium Modeling
Process Intensification
Low-Temperature Fischer–Tropsch
Vapor–Liquid Equilibrium Modeling
Equation-Oriented Optimization Framework
Mathematical Programming with Complementarity Constraints
ISBN:9780128186343, 0128186348
ISSN:1570-7946
Online-Zugang:Volltext
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Zusammenfassung:In the design of a reactive distillation column, aspects such as column configuration, catalyst loading, tray temperature, and side extraction rates should be well considered. Though preferences in Fischer–Tropsch (FT) synthesis may vary, it is acknowledged that the final product contains a wide range of hydrocarbons including fuel gas, gasoline, diesel, and linear wax. We previously developed an equation-oriented framework for optimal synthesis of integrated reactive distillation systems for FT processes (Zhang et al., 2018). Here, we extend the mass, equilibrium, summation, and heat equations to a mathematical programming with complementarity constraints model to deal with possible dry trays in the non-reactive sections. The purpose of describing disappearing phases is to avoid in-feasibilities due to multiple bilinear terms in the model for complicated model structures. The model is implemented by solving initialization steps and a sequence of nonlinear programming problems to determine an optimal structure and operating conditions. Design specifications for multiple products could be set as individual objectives to determine design limits. Moreover, a balance of multi-objectives could be reached by formulating the reactive distillation model as a multi-objective optimization problem. In this work, we employ the augmented ε-constraint method. The results show that significant design insights can be gained from the Pareto-optimal front regarding acceptable tradeoffs amongst various objectives.
ISBN:9780128186343
0128186348
ISSN:1570-7946
DOI:10.1016/B978-0-12-818634-3.50076-X