Parameter estimation of a microbial fuel cell process control-oriented model

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Proceedings title2014 22nd Mediterranean Conference on Control and Automation, MED 2014
Conference22nd Mediterranean Conference on Control and Automation, MED 2014, 16 June 2014 through 19 June 2014
Article number6961491
Pages918923; # of pages: 6
SubjectElectrochemical electrodes; Fuel cells; Microbial fuel cells; Parameter estimation; Complex nonlinear dynamics; Control oriented models; Double-layer capacitance; Equivalent electrical circuits; External resistance; Fundamental equations; Microbial fuel cells (MFCs); Modulated operations; Process control
AbstractMicrobial fuel cells (MFCs) are novel devices capable of producing electricity while cleaning wastewater. Developing dynamic control-oriented models for such systems represents a crucial tool for the future design of software sensors and model-based control strategies. To this end, this work presents a MFC process control-oriented model obtained by combining fundamental equations based on mass and electron balances with equations describing an equivalent electrical circuit. Such model accounts for the double layer capacitance effect and complex nonlinear dynamics observed during pulse-width modulated operation of the external resistance and therefore, it is able to describe the observed biological or long-term dynamics as well as the electrical or short-term dynamics. The parameter estimation for a simulation and a prediction MFC process control-oriented model is here described.
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AffiliationNational Research Council Canada; Energy, Mining and Environment
Peer reviewedYes
NPARC number21275450
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Record identifier7feb2fe1-7f92-46f4-ad7d-59cbc884bb63
Record created2015-07-14
Record modified2016-05-09
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