Model Reduction of a Solid Oxide Fuel Cell (SOFC) for Control Purposes

• Main Authors: Emad Mirabi, Mahmoud Reza Pishvaie, Mostafa Abbasian
• Format: Article
• Language: English
• Published: Iranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECR 2013-09-01
• Series: Iranian Journal of Chemistry & Chemical Engineering
• Subjects: sofc; model reduction; klg algorithm; distributed parameter systems (dps); state estimation
• Online Access: http://www.ijcce.ac.ir/article_5835_ecc039725668f2e178849a0783ae4312.pdf
• ISSN: 1021-9986; 1021-9986

Fuel cells belong to an avant-garde technology family for a wide variety of applications including micro-power, transportation power, stationary power for buildings and other distributed generation applications. The first objective of this contribution is to find a suitable reduced model of a Solid Oxide Fuel Cell (SOFC). The derived reduced model is then used to design a state estimator. In the first step, the distributed model of the SOFC that is derived using the first principle balance equations is solved by the method of lines. Since this model is too complex and sluggish for real-time applications, a representation of this model with lower number of states and good accuracy is needed. Karhunen-Loève-Galerkin (KLG) procedure is used to develop such a reduced model.