MESSAI.iO

AI summary

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A 1-D transient microbial fuel cell simulation model was developed to consider biofilm growth and temperature variation, showing improved performance with optimized temperature and substrate concentration.

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Representative MFC — matched on the paper’s system type only, not its reactor or geometry.

Extraction

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What they did

System
MFC

What worked

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Abstract

Key findings

  • Biofilm growth significantly affects MFC performance, with optimal growth conditions leading to increased power density.
  • Temperature variation has a significant impact on MFC performance, with optimal temperatures ranging from 25-35°C.
  • The model's predictions were validated with experimental data, demonstrating its accuracy and reliability.

Keywords

Microbial fuel cellTransient (computer programming)Biological systemCoupling (piping)Boundary value problemBiofilm

Identifiers

DOI
10.1016/j.ijthermalsci.2020.106801
Journal
International Journal of Thermal Sciences
Year
2021