Content area
Full Text
http://crossmark.crossref.org/dialog/?doi=10.1007/s00449-015-1510-8&domain=pdf
Web End = http://crossmark.crossref.org/dialog/?doi=10.1007/s00449-015-1510-8&domain=pdf
Web End = http://crossmark.crossref.org/dialog/?doi=10.1007/s00449-015-1510-8&domain=pdf
Web End = Bioprocess Biosyst Eng (2016) 39:267276 DOI 10.1007/s00449-015-1510-8
http://crossmark.crossref.org/dialog/?doi=10.1007/s00449-015-1510-8&domain=pdf
Web End = http://crossmark.crossref.org/dialog/?doi=10.1007/s00449-015-1510-8&domain=pdf
Web End = http://crossmark.crossref.org/dialog/?doi=10.1007/s00449-015-1510-8&domain=pdf
Web End = http://crossmark.crossref.org/dialog/?doi=10.1007/s00449-015-1510-8&domain=pdf
Web End = http://crossmark.crossref.org/dialog/?doi=10.1007/s00449-015-1510-8&domain=pdf
Web End = ORIGINAL PAPER
http://crossmark.crossref.org/dialog/?doi=10.1007/s00449-015-1510-8&domain=pdf
Web End = http://crossmark.crossref.org/dialog/?doi=10.1007/s00449-015-1510-8&domain=pdf
Web End = Combined bioelectrochemicalelectrical model of a microbial fuel cell
Ddac Recio-Garrido1,2 Michel Perrier1 Boris Tartakovsky1,2
Received: 15 January 2015 / Accepted: 18 November 2015 / Published online: 16 December 2015 Outside the USA 2015
Abstract Several recent studies demonstrated signicant charge storage in electrochemical biolms. Aiming to evaluate the impact of charge storage on microbial fuel cell (MFC) performance, this work presents a combined bioelectrochemicalelectrical (CBE) model of an MFC. In addition to charge storage, the CBE model is able to describe fast (ms) and slow (days) nonlinear dynamics of MFCs by merging mass and electron balances with equations describing an equivalent electrical circuit. Parameter estimation was performed using results of MFC operation with intermittent (pulse-width modulated) connection of the external resistance. The model was used to compare different methods of selecting external resistance during MFC operation under varying operating conditions. Owing to the relatively simple structure and fast numerical solution of the model, its application for both reactor design and real-time model-based process control applications are envisioned.
Keywords Microbial fuel cell Dynamic model Charge
storage Equivalent circuit Multi-population
Intermittent connection
Introduction
Microbial fuel cells (MFCs) are bioelectrochemical devices designed for direct electricity production from organic matter. The main difference with respect to a conventional fuel cell is that the MFC anode benets from the biocatalytic activity of exoelectricigenic bacteria, which transfer electrons derived from the oxidation of organic matter to the anode. Similar to fuel cells, the released electrons ow through the external electrical circuit while protons migrate to the cathode to reduce oxygen and form water [1].
Owing to the broad selectivity of microbial enzymes and mixed microbial communities capable of oxidizing a wide range of organic molecules, MFCs can be used for energy recovery from diluted organic wastes such as wastewater [24]. Such novel technology perfectly ts future scenarios of renewable energy production, where a signicant part of the energy comes from renewable sources to sustain increased energy demands [2]. Recent advances in the...