Development of physical models for the process control of a molten carbonate fuel cell system

被引:21
作者
Mangold, M
Sheng, M
Heidebrecht, P
Kienle, A
Sundmacher, K
机构
[1] Max Planck Inst Dynam Complex Tech Syst, D-39106 Magdeburg, Germany
[2] Univ Magdeburg, Chair Automatizat & Modelling, D-39106 Magdeburg, Germany
[3] Univ Magdeburg, Ctr Proc Syst Engn, D-39106 Magdeburg, Germany
关键词
molten carbonate fuel cell; mathematical modeling; dynamic simulation; model reduction; observer; process control; Karhunen-Loeve decomposition;
D O I
10.1016/j.ces.2004.08.019
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The subject of the paper is the development of suitable models for the process design and process control of molten carbonate fuel cell (MCFC) systems. In a first step, a rigorous dynamic, spatially distributed model of an MCFC is derived from first principles. As this model is too complex for most process control purposes, a reduced model is developed in the following. The reduced model is derived from the spatially distributed reference model of the cell by applying the Karhunen-Loeve-Galerkin procedure. The reduced model is of considerably lower order than the original one and requires much less computational time. The applicability of the reduced model to process control problems is demonstrated by using it in the framework of a state and parameter estimator. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:4847 / 4852
页数:6
相关论文
共 10 条
[1]   Finite-dimensional approximation and control of non-linear parabolic PDE systems [J].
Baker, J ;
Christofides, PD .
INTERNATIONAL JOURNAL OF CONTROL, 2000, 73 (05) :439-456
[2]   Operating experience with a 250 kWel molten carbonate fuel cell (MCFC) power plant [J].
Bischoff, M ;
Huppmann, G .
JOURNAL OF POWER SOURCES, 2002, 105 (02) :216-221
[3]  
Finlayson BA., 1972, Method of Weighted Residuals and Variational Principles
[4]  
FRIEDLAND B, 1996, CONTROL HDB, P607
[5]   Molten carbonate fuel cell (MCFC) with internal reforming: model-based analysis of cell dynamics [J].
Heidebrecht, P ;
Sundmacher, K .
CHEMICAL ENGINEERING SCIENCE, 2003, 58 (3-6) :1029-1036
[6]  
Heidebrecht P, 2003, FUEL CELLS, V2, P166
[7]   Low-order control-relevant models for a class of distributed parameter systems [J].
Hoo, KA ;
Zheng, DG .
CHEMICAL ENGINEERING SCIENCE, 2001, 56 (23) :6683-6710
[8]  
Loeve M, 1955, PROBABILITY THEORY
[9]   Nonlinear Model Reduction of a Two-Dimensional MCFC Model with Internal Reforming [J].
Mangold, M. ;
Sheng, M. .
FUEL CELLS, 2004, 4 (1-2) :68-77
[10]  
Park SH, 1996, MOL CELLS, V6, P51