Dynamic Modelling Of Bioelectrochemical Activity For Anode Microbial Fuel Cells By Geobacter Sulfurreducens_

Microbial fuel cells are an emerging technology which shows great potential for the generation of electricity from organic substrate via microbial and electrochemical reactions. This research project was carried out to improve bioelectrochemical activity of anode microbial fuel cells for electric cu...

Full description

Saved in:

Bibliographic Details
Main Author:	Shoparwe, Noor Fazliani
Format:	Thesis
Language:	English
Published:	2016
Subjects:	T Technology TP155-156 Chemical engineering
Online Access:	http://eprints.usm.my/46922/1/Dynamic%20Modelling%20Of%20Bioelectrochemical%20Activity%20For%20Anode%20Microbial%20Fuel%20Cells%20By%20Geobacter%20Sulfurreducens_.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-usm-ep.46922
record_format	uketd_dc
spelling	my-usm-ep.469222021-11-17T03:42:18Z Dynamic Modelling Of Bioelectrochemical Activity For Anode Microbial Fuel Cells By Geobacter Sulfurreducens_ 2016-05-01 Shoparwe, Noor Fazliani T Technology TP155-156 Chemical engineering Microbial fuel cells are an emerging technology which shows great potential for the generation of electricity from organic substrate via microbial and electrochemical reactions. This research project was carried out to improve bioelectrochemical activity of anode microbial fuel cells for electric current generation by using Geobacter sulfurreducens as a biocatalyst. In performing these studies, the dynamic modelling focusing for an anode side in a batch system was developed. The mechanism of direct electron transfer from the extracellular cells to an electrode was considered. The improvement of the model was made by taking into account the kinetic of biochemical and electrode reaction, and combined with the voltage losses of the system. The improvement was also made on biochemical reaction by considering the deactivation rate of enzyme reaction. The mathematical model allows studying the electric current profile, biomass production, substrate consumption and voltage losses as function of time. The experimental works at different operating conditions were performed to determine the important parameters and validated the mathematical model. Electrochemical methods were applied to perform the electrochemical activity of the system. Polarization curve was used to examine the individual voltage losses such as activation loss, Ohmic loss and concentration loss. Electrochemical impedance spectroscopy (EIS) was applied to determine the internal resistance and polarization resistance parameters. In addition, cyclic voltammetry (CV) method was used to perform the electrode kinetic studies of the system at different scanning rate and applied voltage. The optimum result obtained from the experimental studies using single chamber design, graphite felt as an electrode and 20 mM of initial acetate concentration which gave the optimum electric current production of 2.32 mA, the internal resistance of 85.24 Ω, the specific growth rate of 0.068 h-1, the maximum yield of cell biomass for Geobacter sulfurreducens of 0.0196 gcell.gacetate-1, and the heterogeneous electron transfer rate for anode of 0.0018 cm.s-1 was used to validate the model. The dynamic model was successfully validated with the experimental data which gave mean square error less than 10%. The overall work in this research project has successfully addressed and help to overcome several challenges in the development of microbial fuel cell technology. The combination of bioelectrochemical process with mathematical model has not only open a great potential for enhancing the microbial fuel cells performance but help us to fully understanding the overall system of microbial fuel cells. 2016-05 Thesis http://eprints.usm.my/46922/ http://eprints.usm.my/46922/1/Dynamic%20Modelling%20Of%20Bioelectrochemical%20Activity%20For%20Anode%20Microbial%20Fuel%20Cells%20By%20Geobacter%20Sulfurreducens_.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Kimia
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	T Technology TP155-156 Chemical engineering
spellingShingle	T Technology TP155-156 Chemical engineering Shoparwe, Noor Fazliani Dynamic Modelling Of Bioelectrochemical Activity For Anode Microbial Fuel Cells By Geobacter Sulfurreducens_
description	Microbial fuel cells are an emerging technology which shows great potential for the generation of electricity from organic substrate via microbial and electrochemical reactions. This research project was carried out to improve bioelectrochemical activity of anode microbial fuel cells for electric current generation by using Geobacter sulfurreducens as a biocatalyst. In performing these studies, the dynamic modelling focusing for an anode side in a batch system was developed. The mechanism of direct electron transfer from the extracellular cells to an electrode was considered. The improvement of the model was made by taking into account the kinetic of biochemical and electrode reaction, and combined with the voltage losses of the system. The improvement was also made on biochemical reaction by considering the deactivation rate of enzyme reaction. The mathematical model allows studying the electric current profile, biomass production, substrate consumption and voltage losses as function of time. The experimental works at different operating conditions were performed to determine the important parameters and validated the mathematical model. Electrochemical methods were applied to perform the electrochemical activity of the system. Polarization curve was used to examine the individual voltage losses such as activation loss, Ohmic loss and concentration loss. Electrochemical impedance spectroscopy (EIS) was applied to determine the internal resistance and polarization resistance parameters. In addition, cyclic voltammetry (CV) method was used to perform the electrode kinetic studies of the system at different scanning rate and applied voltage. The optimum result obtained from the experimental studies using single chamber design, graphite felt as an electrode and 20 mM of initial acetate concentration which gave the optimum electric current production of 2.32 mA, the internal resistance of 85.24 Ω, the specific growth rate of 0.068 h-1, the maximum yield of cell biomass for Geobacter sulfurreducens of 0.0196 gcell.gacetate-1, and the heterogeneous electron transfer rate for anode of 0.0018 cm.s-1 was used to validate the model. The dynamic model was successfully validated with the experimental data which gave mean square error less than 10%. The overall work in this research project has successfully addressed and help to overcome several challenges in the development of microbial fuel cell technology. The combination of bioelectrochemical process with mathematical model has not only open a great potential for enhancing the microbial fuel cells performance but help us to fully understanding the overall system of microbial fuel cells.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Shoparwe, Noor Fazliani
author_facet	Shoparwe, Noor Fazliani
author_sort	Shoparwe, Noor Fazliani
title	Dynamic Modelling Of Bioelectrochemical Activity For Anode Microbial Fuel Cells By Geobacter Sulfurreducens_
title_short	Dynamic Modelling Of Bioelectrochemical Activity For Anode Microbial Fuel Cells By Geobacter Sulfurreducens_
title_full	Dynamic Modelling Of Bioelectrochemical Activity For Anode Microbial Fuel Cells By Geobacter Sulfurreducens_
title_fullStr	Dynamic Modelling Of Bioelectrochemical Activity For Anode Microbial Fuel Cells By Geobacter Sulfurreducens_
title_full_unstemmed	Dynamic Modelling Of Bioelectrochemical Activity For Anode Microbial Fuel Cells By Geobacter Sulfurreducens_
title_sort	dynamic modelling of bioelectrochemical activity for anode microbial fuel cells by geobacter sulfurreducens_
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Kimia
publishDate	2016
url	http://eprints.usm.my/46922/1/Dynamic%20Modelling%20Of%20Bioelectrochemical%20Activity%20For%20Anode%20Microbial%20Fuel%20Cells%20By%20Geobacter%20Sulfurreducens_.pdf
_version_	1747821745180508160

Dynamic Modelling Of Bioelectrochemical Activity For Anode Microbial Fuel Cells By Geobacter Sulfurreducens_

Similar Items