Maximizing power production in a stack of microbial fuel cells using multiunit optimization method

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DOIResolve DOI: http://doi.org/10.1002/btpr.115
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TypeArticle
Journal titleBiotechnology Progress
Volume25
Issue3
Pages676682; # of pages: 7
SubjectENV; microbial fuel cell; multiunit optimization; stack
AbstractThis 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/LA (A = anode volume) was achieved in each MFC.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada; NRC Biotechnology Research Institute
Peer reviewedNo
NRC number49947
NPARC number12416026
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Record identifier8c55ddbe-b8f4-46a7-ab77-972489e52344
Record created2009-10-26
Record modified2016-05-09
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