AI summary

70% confidence

A membrane-less microbial fuel cell (ML-MFC) was used to treat dewatered sludge and generate electricity, with the highest voltage generation and COD removal achieved at optimal conditions.

Generated by MESSAI extraction pipeline · review against source PDF

Generic MFCRepresentative model
Click to animate flow
loading 3D model…

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

Extraction

Reported parameters

9 extracted values

View extracted values

Open in lab for full controls, parameter editing, and template overlays.

Open in lab →

What they did

System
MFC

What worked

No outcome metrics extracted yet.

Abstract

Microbial fuel cells (MFC) haves drawn much attention as a potential approach for sludge treatment and renewable energy production. In this study, a single chamber air‐cathode in a membrane‐less MFC (ML‐MFC) was operated in batch mode with dewatered sludge from a municipal wastewater treatment plant as the substrate. Electrogenic bacterial species in the sludge acted as a catalyst for the generation of electricity. The performance of the ML‐MFC was evaluated using one‐factor‐at‐a‐time (OFAT) method followed by response surface methodology (RSM) via Central Composite Design using a quadratic model. In the preliminary OFAT study, the highest voltage generation (852.7 mV) and COD removal (149.2 mg/L) were obtained when the pH, electrode distance, moisture content, and temperature were at 6.0, 3 cm, 30% (vol/wt), and 35°C, respectively. After incubation of the ML‐MFC using optimum conditions suggested by the RSM, the voltage was successfully increased to 927.7 mV (improved 9%), while COD removal increased to 170.8 mg/L (improved 15%). This showed that optimization using RSM gave better results than the OFAT method. The maximum power density recorded from the optimum conditions was 41.3 mW/m 2 . © 2018 American Institute of Chemical Engineers Environ Prog, 38: 208–219, 2019

Key findings

  • Voltage generation increased from 852.7 mV to 927.7 mV (9% improvement) after optimization using response surface methodology (RSM).
  • COD removal increased from 149.2 mg/L to 170.8 mg/L (15% improvement) after optimization using RSM.
  • Optimization using RSM gave better results than the one-factor-at-a-time (OFAT) method.

Keywords

Microbial fuel cellResponse surface methodologyCentral composite designPulp and paper industryWastewaterSewage treatment

Identifiers

Journal
Environmental Progress & Sustainable Energy
Year
2018