Maximizing power production in a stack of microbial fuel cells using multiunit optimization method
Lyne Woodward, Boris Tartakovsky, Michel Perrier, Bala Srinivasan
AI summary
70% confidenceA multiunit optimization method was used to maximize power production in a stack of two continuous flow microbial fuel cells, achieving a power output of 81-84 mW/L.
Generated by MESSAI extraction pipeline · review against source PDF
Representative MFC — matched on the paper’s system type only, not its reactor or geometry.
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
Abstract This study demonstrates real‐time maximization of power production in a stack of two continuous flow microbial fuel cells (MFCs). To maximize power output, external resistances of two air–cathode membraneless MFCs were controlled by a multiunit optimization algorithm. Multiunit optimization is a recently proposed method that uses multiple similar units to optimize process performance. The experiment demonstrated fast convergence toward optimal external resistance and algorithm stability during external perturbations (e.g., temperature variations). Rate of the algorithm convergence was much faster than in traditional maximum power point tracking algorithms (MPPT), which are based on temporal perturbations. A power output of 81–84 mW/L A (A = anode volume) was achieved in each MFC. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2009
Key findings
- The multiunit optimization algorithm converged faster than traditional maximum power point tracking algorithms.
- The method demonstrated stability during external perturbations, such as temperature variations.
- A power output of 81-84 mW/L was achieved in each MFC.
Keywords
Identifiers
- Journal
- Biotechnology Progress
- Year
- 2009