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Dynamic modelling and control of planar anode-supported solid oxide fuel cell
Authors:A Chaisantikulwat  C Diaz-Goano  ES Meadows
Affiliation:1. Department of High Temperature Electrochemical Processes (HiTEP), Institute of Power Engineering, Augustowka 36, 02-981 Warsaw, Poland;2. National Fuel Cell Research Center, University of California, Irvine, CA 92697-3550, United States;3. Department of Energy (DENERG), Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino 10129, Italy;4. Institute of Heat Engineering, Warsaw University of Technology, Nowowiejska 21/25, 00-665 Warsaw, Poland;5. Department of Energy Technology, Royal Institute of Technology, Brinellvägen 68, SE-100 44 Stockholm, Sweden;1. Department of Energy Sciences, Lund University, P.O. Box 118, SE- 221 00 Lund, Sweden;2. Department of Mechanical Engineering, Faculty of Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan;4. Department of Hydrogen Energy Systems, Graduate School of Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan;1. Department of Fluid Mechanics, Hochiminh City University of Technology, 268 Ly Thuong Kiet Street, 10th District, Hochiminh City, Viet Nam;2. Computational Engineering and Science Research Center (CESRC), University of Southern Queensland, Toowoomba, QLD, Australia
Abstract:Most solid oxide fuel cell (SOFC) modelling efforts emphasize steady-state cell operation. However, understanding the dynamic behaviour is essential to predict the performance and limitations of SOFC power systems. This article presents the development of a SOFC dynamic model and a feedback control scheme that can maintain output voltage despite load changes. Dynamic responses are determined as the solutions of coupled partial differential equations derived from conservation laws of charges, mass, momentum and energy. To obtain the performance curve, the dynamic model is subjected to varying load current for different fuel specifications. From such a model, the voltage responses to step changes in the fuel concentration and load current are determined. Low-order dynamic models that are sufficient for feedback control design are derived from the step responses. The development of the partial differential equation model is outlined and the limitations of the control system are discussed.
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