Mohd Farid, Bin Atan and MOHAMAD AFIQ, MOHD ASRUL and Hafizah, Abdul Halim Yun and Josephine, Chang Hui Lai (2022) A review of advanced optimization strategies for fermentative biohydrogen production processes. International Journal of Hydrogen Energy. pp. 1-20. ISSN 0360-3199
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Abstract
The inability of statistical optimization to represent the dynamic interaction of the biohydrogen process, which is highly non-linear and complicated, has been identified. However, incorporating a data-driven black-box model could overcome the limitations of conventional methods to provide correct responses rapidly and cost-effective modeling. Despite significant reports on the optimization of hydrogen production from fermentation, fewer studies have been made for the case using artificial intelligence algorithms. As a result, critical and extensive analyses of previous works are conducted to develop a general methodological framework for advanced response optimization.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Biohydrogen, Fermentation, Artificial intelligence, Predictive model, Optimization |
| Subjects: | T Technology > TD Environmental technology. Sanitary engineering T Technology > TP Chemical technology |
| Divisions: | Academic Faculties, Institutes and Centres > Centre for Applied Learning & Multimedia Faculties, Institutes, Centres > Centre for Applied Learning & Multimedia Academic Faculties, Institutes and Centres > Centre for Applied Learning & Multimedia Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering Academic Faculties, Institutes and Centres > Institute of Social Informatics and Technological Innovations Faculties, Institutes, Centres > Institute of Social Informatics and Technological Innovations |
| Depositing User: | Atan |
| Date Deposited: | 13 Apr 2022 02:36 |
| Last Modified: | 13 Apr 2022 02:36 |
| URI: | http://ir.unimas.my/id/eprint/38298 |
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