| Issue |
E3S Web Conf.
Volume 229, 2021
The 3rd International Conference of Computer Science and Renewable Energies (ICCSRE’2020)
|
|
|---|---|---|
| Article Number | 01022 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/e3sconf/202122901022 | |
| Published online | 25 January 2021 | |
Modeling and Optimization of Anaerobic Digestion: A Review
1
IRDA Team, ENSIAS, Mohammed V University, Rabat, Morocco
2
Moroccan Foundation for Advanced Science, Innovation and Research (MAScIR), Madinat Al Irfane, Rabat, Morocco
* e-mail: fatima_walid@um5.ac.ma
** e-mail: elfkihi.s@gmail.com
*** e-mail: benbrahimh@hotmail.com
**** e-mail: h.tagemouati@mascir.ma
Anaerobic digestion is recognized as being an advantageous waste management technique representing a source of clean and renewable energy. However, biogas production through such practice is complex and it relies on the interaction of several factors including changes in operating and monitoring parameters. Enormous researchers have focused and gave their full attention to mathematical modeling of anaerobic digestion to get good insights about process dynamics, aiming to optimize its efficiency. This paper gives an overview of the different approaches applied to tackle this challenge including mechanistic and data-driven models. This review has led us to conclude that neural networks combined with metaheuristic techniques has the potential to outperform mechanistic and classical machine learning models.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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