TY - JOUR ID - 5835 TI - Model Reduction of a Solid Oxide Fuel Cell (SOFC) for Control Purposes JO - Iranian Journal of Chemistry and Chemical Engineering JA - IJCCE LA - en SN - 1021-9986 AU - Mirabi, Emad AU - Pishvaie, Mahmoud Reza AU - Abbasian, Mostafa AD - Department of Chemical Engineering, Tarbiat Modares University, Tehran, I.R. IRAN AD - Chemical and Petroleum Engineering Department, Sharif University of Technology, Tehran, I.R. IRAN AD - Department of Chemical Engineering, Isfahan University, Isfahan, I.R. IRAN Y1 - 2013 PY - 2013 VL - 32 IS - 3 SP - 91 EP - 105 KW - SOFC KW - Model reduction KW - KLG algorithm KW - Distributed Parameter Systems (DPS) KW - State Estimation DO - 10.30492/ijcce.2013.5835 N2 - 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. UR - https://ijcce.ac.ir/article_5835.html L1 - https://ijcce.ac.ir/article_5835_ecc039725668f2e178849a0783ae4312.pdf ER -