Modeling, optimization, and control of microbial electrolysis cells in a fed-batch reactor for production of renewable biohydrogen gas
An integrated modeling, optimization, and control approach for the design of a microbial electrolysis cell (MEC) was studied in this paper. Initially, this study describes the improvement of the mathematical MEC model for hydrogen production from wastewater in a fed-batch reactor. The model, which w...
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| Online Access: | http://onlinelibrary.wiley.com/doi/10.1002/er.3273/abstract http://onlinelibrary.wiley.com/doi/10.1002/er.3273/abstract |
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um-140172015-09-22T00:23:16Z Modeling, optimization, and control of microbial electrolysis cells in a fed-batch reactor for production of renewable biohydrogen gas Yahya, A.M. Hussain, M.A. Wahab, A.K.A. T Technology (General) TP Chemical technology An integrated modeling, optimization, and control approach for the design of a microbial electrolysis cell (MEC) was studied in this paper. Initially, this study describes the improvement of the mathematical MEC model for hydrogen production from wastewater in a fed-batch reactor. The model, which was modified from an already existing model, is based on material balance with the integration of bioelectrochemical reactions describing the steady-state behavior of biomass growth, consumption of substrates, hydrogen production, and the effect of applied voltage on the performance of the MEC fed-batch reactor. Another goal of this work is to implement a suitable control strategy to optimize the production of biohydrogen gas by selecting the optimal current and applied voltage to the MEC. Various simulation tests involving multiple set-point changes, disturbance rejection, and noise effects were performed to evaluate the performance where the proposed proportional-integral-derivative control system was tuned with an adaptive gain technique and compared with the Ziegler-Nichols method. The simulation results show that optimal tuning can provide better control effect on the MEC system, where optimal H-2 gas production for the system was achieved. Copyright (c) 2014 John Wiley & Sons, Ltd. 2015-03-25 Article PeerReviewed http://onlinelibrary.wiley.com/doi/10.1002/er.3273/abstract Yahya, A.M.; Hussain, M.A.; Wahab, A.K.A. (2015) Modeling, optimization, and control of microbial electrolysis cells in a fed-batch reactor for production of renewable biohydrogen gas. International Journal of Energy Research <http://eprints.um.edu.my/view/publication/International_Journal_of_Energy_Research.html>, 39 (4). pp. 557-572. ISSN 0363-907X http://eprints.um.edu.my/14017/ |
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Digital Repository |
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Local University |
| institution |
University Malaya |
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UM Research Repository |
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Online Access |
| topic |
T Technology (General) TP Chemical technology |
| spellingShingle |
T Technology (General) TP Chemical technology Yahya, A.M. Hussain, M.A. Wahab, A.K.A. Modeling, optimization, and control of microbial electrolysis cells in a fed-batch reactor for production of renewable biohydrogen gas |
| description |
An integrated modeling, optimization, and control approach for the design of a microbial electrolysis cell (MEC) was studied in this paper. Initially, this study describes the improvement of the mathematical MEC model for hydrogen production from wastewater in a fed-batch reactor. The model, which was modified from an already existing model, is based on material balance with the integration of bioelectrochemical reactions describing the steady-state behavior of biomass growth, consumption of substrates, hydrogen production, and the effect of applied voltage on the performance of the MEC fed-batch reactor. Another goal of this work is to implement a suitable control strategy to optimize the production of biohydrogen gas by selecting the optimal current and applied voltage to the MEC. Various simulation tests involving multiple set-point changes, disturbance rejection, and noise effects were performed to evaluate the performance where the proposed proportional-integral-derivative control system was tuned with an adaptive gain technique and compared with the Ziegler-Nichols method. The simulation results show that optimal tuning can provide better control effect on the MEC system, where optimal H-2 gas production for the system was achieved. Copyright (c) 2014 John Wiley & Sons, Ltd. |
| format |
Article |
| author |
Yahya, A.M. Hussain, M.A. Wahab, A.K.A. |
| author_facet |
Yahya, A.M. Hussain, M.A. Wahab, A.K.A. |
| author_sort |
Yahya, A.M. |
| title |
Modeling, optimization, and control of microbial electrolysis cells in a fed-batch reactor for production of renewable biohydrogen gas |
| title_short |
Modeling, optimization, and control of microbial electrolysis cells in a fed-batch reactor for production of renewable biohydrogen gas |
| title_full |
Modeling, optimization, and control of microbial electrolysis cells in a fed-batch reactor for production of renewable biohydrogen gas |
| title_fullStr |
Modeling, optimization, and control of microbial electrolysis cells in a fed-batch reactor for production of renewable biohydrogen gas |
| title_full_unstemmed |
Modeling, optimization, and control of microbial electrolysis cells in a fed-batch reactor for production of renewable biohydrogen gas |
| title_sort |
modeling, optimization, and control of microbial electrolysis cells in a fed-batch reactor for production of renewable biohydrogen gas |
| publishDate |
2015 |
| url |
http://onlinelibrary.wiley.com/doi/10.1002/er.3273/abstract http://onlinelibrary.wiley.com/doi/10.1002/er.3273/abstract |
| first_indexed |
2018-09-06T06:19:38Z |
| last_indexed |
2018-09-06T06:19:38Z |
| _version_ |
1610837947483947008 |