1. Performance assessment through comprehensive analysis of mathematical model assumptions for biohydrogen production from various substrates in microbial electrolysis cell.
- Author
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Asrul, Mohamad Afiq Mohd, Atan, Mohd Farid, Yun, Hafizah Abdul Halim, Tan, Ivy Ai Wei, Wahi, Rafeah, Abdullah, Rosnah, and Elciana, Alick Davidson
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CHEMICAL kinetics , *SUSTAINABILITY , *MICROBIAL cells , *HYDROGEN production , *CONTINUOUS time models - Abstract
There are numerous reviews of the various bioelectrochemical models, but few focus only on the microbial electrolysis cell for biohydrogen production from organic wastewater. Neglecting the dynamic interactions of the bioelectrochemical factors at the microbial level in the bulk liquid reduces the complexity of the model. Still, the optimization for scaling up to industrial performance stagnates. Therefore, a comprehensive analysis of the existing mathematical models critically evaluates the assumptions related to the reactor conditions, including metabolic reaction kinetics, electrode reaction kinetics, biofilm dynamics, and hydraulic dynamics. A comparative study between different models with different substrate inputs shows the significance of the assumptions made in predicting the model performances. A unified modeling framework integrates substrate diversity, microbial community dynamics, biofilm behavior, electrochemical interactions, and hydrodynamics with the requirement of experimental validation to enable robust prediction of MEC performance. The framework facilitates the scalability and practical application of MEC technology and thus contributes to the progress of sustainable biohydrogen production. [Display omitted] • Critical evaluation of assumptions in microbial electrolysis cell modeling. • Unified framework for robust and scalable hydrogen production modeling. • Advances in biofilm and electrochemical interaction modeling for MECs. • Predictive modeling integrates complex microbial and electrochemical dynamics. • Enhanced scalability of MEC technology for sustainable hydrogen production. [ABSTRACT FROM AUTHOR]
- Published
- 2025
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