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Development of a Reduced-Order Model for Control of Solid Oxide Fuel Cell (SOFC) Systems

Mirabi, Emad | 2010

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 41358 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Pishvaie, Mahmoud Reza
  7. Abstract:
  8. In this thesis, a reduced model of a distributed one-dimensional Solid Oxide Fuel Cell (SOFC) system is presented. Consequently the reduced model is used to estimate the states of the exact model. The reduced model is derived using the exact solution of the distributed model and implementing the Karhunen-Loève-Galerkin procedure. To achieve an exact solution of the distributed model, method of lines is used. In the method of lines, accuracy of the solution depends on the number of grid points. To increase the accuracy, the number of grid points should be increased which will lead to a high order dynamic model. Such a model is not suitable for state estimation, optimization or control purposes where repetitive calculation of the model is required. This model is therefore used in developing the reduced model as well as in assessing the accuracy of it. Accuracy and calculation time of the reduced model are assessed and analyzed with proper indices. In the sequel, the developed reduced model is used to estimate the states of the system (exact model). A Luenberger-like observer based on the reduced model (which is a nonlinear model) is designed. Its gain matrix is calculated by applying the linear methods. The designed observer is examined by simulation and good results are obtained. This study is accomplished using MATLAB software.
  9. Keywords:
  10. Fuel Cell ; Galerkin Method ; State Estimation ; Solid Oxide Fuel Cell (SOFC) ; Model Reduction ; Karhunen-Loeve Decomposition

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