Modeling, simulation and advanced control of methanol production from variable synthesis gas feed

被引:56
作者
Abrol, Sidharth [1 ,2 ]
Hilton, Courtland M. [1 ,3 ]
机构
[1] Sundrop Fuels Inc, Louisville, CO 80027 USA
[2] Univ Delaware, Dept Chem Engn, Newark, DE 19716 USA
[3] Hilton Consultancy, Broomfield, CO 80020 USA
关键词
Modeling; Kinetics; Sequential-modular; Non-continuous; System identification; Model predictive control; PREDICTIVE CONTROL; DYNAMIC SIMULATION; IDENTIFICATION; LIMITATIONS; LOOP;
D O I
10.1016/j.compchemeng.2012.02.005
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A process relying on feedstock produced using a non-continuous energy source such as solar energy needs detailed understanding of the dynamics to define procedures for cycling and robust control design. In this work, methanol production from synthesis gas (or syngas) is studied. The syngas is (assumed to be) obtained from an intermittent upstream biomass-gasification process run by solar energy. Development of the methanol synthesis recycle-loop model is described in detail, along with several case studies performed using the steady-state and dynamic models for better understanding of the process behavior. A linear model predictive controller is designed to reject disturbances from a varying upstream syngas production process and track set point changes in the desired variables for methanol synthesis. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:117 / 131
页数:15
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