Neural network predictive control of a tubular solid oxide fuel cell
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. I...
| প্রধান লেখক: | , , , |
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| বিন্যাস: | প্রবন্ধ |
| প্রকাশিত: |
Computer Aided Chemical Engineering
2012
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| বিষয়গুলি: |
| _version_ | 1825719306682368000 |
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| author | Hajimolana, S.A. Hussain, Mohd Azlan Natesan, J. Tonekaboni Moghaddam, S.M. |
| author_facet | Hajimolana, S.A. Hussain, Mohd Azlan Natesan, J. Tonekaboni Moghaddam, S.M. |
| author_sort | Hajimolana, S.A. |
| collection | UM |
| description | 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. |
| first_indexed | 2024-03-06T05:17:40Z |
| format | Article |
| id | um.eprints-6993 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:17:40Z |
| publishDate | 2012 |
| publisher | Computer Aided Chemical Engineering |
| record_format | dspace |
| spelling | um.eprints-69932021-02-10T03:51:31Z http://eprints.um.edu.my/6993/ Neural network predictive control of a tubular solid oxide fuel cell Hajimolana, S.A. Hussain, Mohd Azlan Natesan, J. Tonekaboni Moghaddam, S.M. TA Engineering (General). Civil engineering (General) TP Chemical technology 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. Computer Aided Chemical Engineering 2012 Article PeerReviewed 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 <https://doi.org/10.1016/B978-0-444-59507-2.50070-6>. http://www.scopus.com/inward/record.url?eid=2-s2.0-84864505324&partnerID=40&md5=30668a601589e65ae72e701d864bb472 10.1016/B978-0-444-59507-2.50070-6 |
| spellingShingle | TA Engineering (General). Civil engineering (General) TP Chemical technology Hajimolana, S.A. Hussain, Mohd Azlan Natesan, J. Tonekaboni Moghaddam, S.M. Neural network predictive control of a tubular solid oxide fuel cell |
| title | Neural network predictive control of a tubular solid oxide fuel cell |
| title_full | Neural network predictive control of a tubular solid oxide fuel cell |
| title_fullStr | Neural network predictive control of a tubular solid oxide fuel cell |
| title_full_unstemmed | Neural network predictive control of a tubular solid oxide fuel cell |
| title_short | Neural network predictive control of a tubular solid oxide fuel cell |
| title_sort | neural network predictive control of a tubular solid oxide fuel cell |
| topic | TA Engineering (General). Civil engineering (General) TP Chemical technology |
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