Determination of charge transfer resistance and capacitance of microbial fuel cell through a transient response analysis of cell voltage.
An alternative method for determining the charge transfer resistance and double-layer capacitance of microbial fuel cells (MFCs), easily implemented without a potentiostat, was developed. A dynamic model with two parameters, the charge transfer resistance and double-layer capacitance of electrodes, was derived from a linear differential equation to depict the current generation with respect to activation overvoltage. This model was then used to fit the transient cell voltage response to the current step change during the continuous operation of a flat-plate type MFC fed with acetate. Variations of the charge transfer resistance and the capacitance value with respect to the MFC design conditions (biocatalyst existence and electrode area) and operating parameters (acetate concentration and buffer strength in the catholyte) were then determined to elucidate the validity of the proposed method. This model was able to describe the dynamic behavior of the MFC during current change in the activation loss region; having an R(2) value of over 0.99 in most tests. Variations of the charge transfer resistance value (thousands of Omega) according to the change of the design factors and operational factors were well-correlated with the corresponding MFC performances. However, though the capacitance values (approximately 0.02 F) reflected the expected trend according to the electrode area change and catalyst property, they did not show significant variation with changes in either the acetate concentration or buffer strength.
Ha
Phuc Thi
PT
Department of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), 261 Cheomdan-gwagiro, Buk-gu, Gwangju 500-712, Republic of Korea.
Moon
Hyunsoo
H
Kim
Byung Hong
BH
Ng
How Yong
HY
Chang
In Seop
IS
D000465:Algorithms; D001674:Bioelectric Energy Sources / Q000382:microbiology*; D003198:Computer Simulation; D025802:Electric Capacitance; D017097:Electric Impedance; D004574:Electromagnetic Fields; D019544:Equipment Failure Analysis / Q000379:methods*; D008954:Models, Biological