MESSAI.iO

AI summary

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This paper explores the optimization of kitchen wastewater-based microbial fuel cells using machine learning, improving efficiency and substrate utilization.

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What they did

System
MFC

What worked

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Abstract

Key findings

  • Machine learning algorithms significantly enhanced the performance of microbial fuel cells by optimizing operating conditions.
  • The use of bacteria with high substrate affinity improved efficiency by 25%.
  • A novel wastewater treatment approach was developed, reducing chemical usage by 30%.

Keywords

Microbial fuel cellWastewaterWaste managementProcess engineering

Identifiers

DOI
10.1016/j.jpowsour.2025.236379
Journal
Journal of Power Sources
Year
2025