Dynamic Multi-Objective Optimization of Autocatalytic Esterification in a Semi-Batch Reactor,Chemical Engineering & Technology

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Dynamic Multi-Objective Optimization of Autocatalytic Esterification in a Semi-Batch Reactor
Chemical Engineering & Technology ( IF 1.8 ) Pub Date : 2022-07-18 , DOI: 10.1002/ceat.202200019
Fakhrony Sholahudin Rohman _{1,

2} , Khairul Azly Zahan _{3,

4} , Norashid Aziz ₁

Affiliation

The catalytic esterification of -butyl propionate in a semi-batch reactor is examined using dynamic, nonlinear programming-based optimization. To solve the conflicting bi-objective of minimizing the final time t_f and maximizing the conversion X_c, the ε-constraint, weighted sum, and NSGA-II (non-dominated sorting genetic algorithm II) techniques were implemented. By computing performance measurements like hypervolume, pure diversity, and spacing, these multi-objective optimization techniques were compared to the characteristics of the Pareto solution. Each Pareto solution point comprises a unique combination of optimal feed flow rate and temperature trajectories. These solutions provide various options for evaluating trade-offs while establishing the best operating strategy.

中文翻译：

半间歇式反应器中自催化酯化的动态多目标优化

使用基于动态、非线性编程的优化来检查半间歇式反应器中丙酸丁酯的催化酯化。为了解决最小化最终时间t _f和最大化转换X _c的冲突双目标，ε-实施了约束、加权和和 NSGA-II（非支配排序遗传算法 II）技术。通过计算超容量、纯多样性和间距等性能度量，将这些多目标优化技术与帕累托解的特征进行比较。每个帕累托解点都包含最佳进料流速和温度轨迹的独特组合。这些解决方案为评估权衡提供了各种选择，同时建立了最佳运营策略。

更新日期：2022-07-18

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