Process Optimization of the Methanol Synthesis Using Different Local Optimization Algorithms

被引：5

作者：

Sundberg, Johannes ^{[1
]}

Rehfeldt, Sebastian ^{[1
]}

Peschel, Andreas ^{[2
]}

Klein, Harald ^{[1
]}

机构：

[1] Tech Univ Munich, Fak Maschinenwesen, Lehrstuhl Anlagen, Prozesstech, Boltzmannstr 15, D-85748 Garching, Germany

[2] Linde AG, Linde Engn Div, Dr Carl von Linde Str 6-14, D-82049 Pullach, Germany

来源：

CHEMIE INGENIEUR TECHNIK | 2017年 / 89卷 / 05期

关键词：

MATLAB; Methanol synthesis; Process design; Process optimization; Process simulation; DESIGN;

D O I：

10.1002/cite.201600108

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

Process optimization is often performed using process simulators with limited optimization functionality or algebraic modelling languages, which require time consuming model formulation and implementation. Here a hybrid approach is chosen as an alternative, which uses advantages of both methods: MATLAB as an optimization platform is coupled with the process simulator UniSim Design. The approach is evaluated using the example of the industrial methanol synthesis. For the optimization, gradient-based and derivative-free algorithms are applied and thereby existing work in this field is extended reasonably.

引用

页码：675 / 685

页数：11

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