A review of advanced optimization strategies for fermentative biohydrogen production processes

• Main Authors: Mohd Farid, Bin Atan, MOHAMAD AFIQ, MOHD ASRUL, Hafizah, Abdul Halim Yun, Josephine, Chang Hui Lai
• Format: Article
• Language: English
• Published: ELSEVIER 2022
• Subjects: TD Environmental technology. Sanitary engineering; TP Chemical technology
• Online Access: http://ir.unimas.my/id/eprint/38298/1/Mohd%20Asrul%20et%20al.%20%282022%29-1.pdf; http://ir.unimas.my/id/eprint/38298/; https://www.sciencedirect.com/science/article/pii/S0360319922013301?dgcid=author; https://doi.org/10.1016/j.ijhydene.2022.03.197

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.