Hajimolana, S.A. and Hussain, Mohd Azlan and Natesan, J. and Tonekaboni Moghaddam, S.M. (2012) Neural network predictive control of a tubular solid oxide fuel cell. Computer Aided Chemical Engineering, 31. pp. 390-394. ISSN 15707946 , DOI https://doi.org/10.1016/B978-0-444-59507-2.50070-6.
Full text not available from this repository.Abstract
The dynamic behavior and control of a tubular solid oxide fuel cell will be studied in this paper. The effect of fuel/air temperature and pressure will be investigated. Controlling the average stack temperature is the final objective of this study due to a high operating temperature of the system. In this case, temperature fluctuation induces thermal stress in the electrodes and electrolyte ceramics; therefore, the cell temperature distribution should be kept as constant as possible. A mathematical modeling based on first principles is developed. The fuel cell is divided into five subsystems and the factors such as mass/energy/momentum transfer, diffusion through porous media, electrochemical reactions, and polarization losses inside the subsystems are presented. Dynamic fuel-cell-tube temperature responses of the cell to step changes in conditions of the feed streams will be presented. A neural network model predictive controller (NNMPC) is then implemented to control the cell-tube temperature through manipulation of the temperature of the inlet air stream. The results show that the control system can successfully reject unmeasured step changes (disturbances) in the load resistance.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Additional Information: | Export Date: 5 March 2013 Source: Scopus doi: 10.1016/B978-0-444-59507-2.50070-6 Language of Original Document: English Correspondence Address: Hajimolana, S.A.; Chemical Engineering Department, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia References: Ni, M., Leung, M.K.H., Mathematical modelling of ammonia-fed solid oxide fuel cells with different electrolytes (2008) Int. J. of Hydrogen Energy, 88 (33), pp. 5765-5772; Jurado, F., Predictive control of solid oxide fuel cells using fuzzy Hammerstein models (2006) J. Pow. Sour, 11 (158), pp. 245-253; Hajimolana, S.A., Soroush, M., Dynamics and Control of a Tubular Solid-Oxide Fuel Cell (2009) Ind. Eng. Chem, 23 (48), pp. 6112-6125; Hajimolana, S.A., Hussain, M.A., Wan Daud, W.A., Soroush, M., Shamiri, A., Mathematical modelling of solid oxide fuel cells: A review (2011) Renew. and Sustain. Ener. Rev., 121 (15), pp. 1893-1917; Meng, G., Comparative study on the performance of a SDC-based SOFC fueled by ammonia and hydrogen (2007) J. Pow. Sour, 32 (173), pp. 189-193; Singhal, S.C., Advances in solid oxide fuel cell technology (2003) Sol. St. Ion, 23 (135), pp. 305-313; Ota, T., Object-based modeling of SOFC system: dynamic behavior of micro-tube SOFC (2003) J. Pow. Sour, 118 (125), pp. 430-439 |
| Uncontrolled Keywords: | Cell-tube temperature, Neural network predictive control, SOFC. |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TP Chemical technology |
| Divisions: | Faculty of Engineering |
| Depositing User: | Mr Jenal S |
| Date Deposited: | 10 Jul 2013 01:03 |
| Last Modified: | 10 Feb 2021 03:51 |
| URI: | http://eprints.um.edu.my/id/eprint/6993 |
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