Enzymatic glucose fuel cell and microbial fuel cell are limited by their extremely low power and short durability. Direct Glucose Fuel Cell (DGFC) appears to be a promising alternative power source in low power portable devices and medicinal implants. In this thesis, a one dimensional mathematical model is developed to simulate Direct Glucose Fuel Cell performance. The model accounts simultaneously for mass transport of reactants, products and intermediate species, together with reaction kinetics and ohmic resistance effects in a Direct Glucose Fuel Cell system. It resulted in two sets (for anode and cathode) of first order nonlinear differential equations (derived from conservation equations) valid for heterogeneous domain consisting of electrodes, gas diffusion layers, anion exchange membrane, catalyst layers and flow channels. These equations were solved using numerical techniques such as Runge-Kutta 4th order method and Shooting technique in MATLAB. The influence of various parameters such as anionic conductivity, active catalyst surface area, glucose concentration, temperature on DGFC performance is investigated. Our results show that, the increase in glucose concentration after certain limit does not increase the DGFC performance and increase in the catalyst surface area always increases the performance of DGFC. Also, the anodic overpotential is large compared to cathodic overpotential due to complex kinetics of the glucose electrooxidation.
","abstract_html":"<p>Enzymatic glucose fuel cell and microbial fuel cell are limited by their extremely low power and short durability. Direct Glucose Fuel Cell (DGFC) appears to be a promising alternative power source in low power portable devices and medicinal implants. In this thesis, a one dimensional mathematical model is developed to simulate Direct Glucose Fuel Cell performance. The model accounts simultaneously for mass transport of reactants, products and intermediate species, together with reaction kinetics and ohmic resistance effects in a Direct Glucose Fuel Cell system. It resulted in two sets (for anode and cathode) of first order nonlinear differential equations (derived from conservation equations) valid for heterogeneous domain consisting of electrodes, gas diffusion layers, anion exchange membrane, catalyst layers and flow channels. These equations were solved using numerical techniques such as Runge-Kutta 4th order method and Shooting technique in MATLAB. The influence of various parameters such as anionic conductivity, active catalyst surface area, glucose concentration, temperature on DGFC performance is investigated. Our results show that, the increase in glucose concentration after certain limit does not increase the DGFC performance and increase in the catalyst surface area always increases the performance of DGFC. Also, the anodic overpotential is large compared to cathodic overpotential due to complex kinetics of the glucose electrooxidation. </p>","abstract_has_math":false,"creators":["Annepu, Jyothsna Jagannath"],"institution":null,"degree_name":"Master of Science","degree_level":"Thesis","degree_discipline":"Mathematics","degree_department":null,"school":null,"contributors":["Chris Tweddle, Ph.D.","Dianna Galante, Ph.D.","Karen D'Arcy, Ph.D."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-10-01T07:00:00Z","date_published":"2015-10-01T07:00:00Z","updated_at":"2026-07-24T02:24:36Z","subjects":["Direct Glucose Fuel Cell","mathematical modelling","overpotential","cell performance","Mathematics"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://opus.govst.edu/theses/70","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Chris Tweddle, Ph.D.","Dianna Galante, Ph.D.","Karen D'Arcy, Ph.D."]},{"key":"dc:creator","label":"Author","values":["Annepu, Jyothsna Jagannath"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2016-01-08T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mathematics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Direct Glucose Fuel Cell","mathematical modelling","overpotential","cell performance","Mathematics"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://opus.govst.edu/theses/70"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Enzymatic glucose fuel cell and microbial fuel cell are limited by their extremely low power and short durability. Direct Glucose Fuel Cell (DGFC) appears to be a promising alternative power source in low power portable devices and medicinal implants. In this thesis, a one dimensional mathematical model is developed to simulate Direct Glucose Fuel Cell performance. The model accounts simultaneously for mass transport of reactants, products and intermediate species, together with reaction kinetics and ohmic resistance effects in a Direct Glucose Fuel Cell system. It resulted in two sets (for anode and cathode) of first order nonlinear differential equations (derived from conservation equations) valid for heterogeneous domain consisting of electrodes, gas diffusion layers, anion exchange membrane, catalyst layers and flow channels. These equations were solved using numerical techniques such as Runge-Kutta 4th order method and Shooting technique in MATLAB. The influence of various parameters such as anionic conductivity, active catalyst surface area, glucose concentration, temperature on DGFC performance is investigated. Our results show that, the increase in glucose concentration after certain limit does not increase the DGFC performance and increase in the catalyst surface area always increases the performance of DGFC. Also, the anodic overpotential is large compared to cathodic overpotential due to complex kinetics of the glucose electrooxidation.
"]},{"key":"dc:title","label":"Title","values":["Mathematical Simulation of Direct Glucose Fuel Cell"]}]}],"canonical_facts":{"dc:contributor":["Chris Tweddle, Ph.D.","Dianna Galante, Ph.D.","Karen D'Arcy, Ph.D."],"dc:creator":["Annepu, Jyothsna Jagannath"],"dc:date.available":["2016-01-08T08:00:00Z"],"dc:description.abstract":["Enzymatic glucose fuel cell and microbial fuel cell are limited by their extremely low power and short durability. Direct Glucose Fuel Cell (DGFC) appears to be a promising alternative power source in low power portable devices and medicinal implants. In this thesis, a one dimensional mathematical model is developed to simulate Direct Glucose Fuel Cell performance. The model accounts simultaneously for mass transport of reactants, products and intermediate species, together with reaction kinetics and ohmic resistance effects in a Direct Glucose Fuel Cell system. It resulted in two sets (for anode and cathode) of first order nonlinear differential equations (derived from conservation equations) valid for heterogeneous domain consisting of electrodes, gas diffusion layers, anion exchange membrane, catalyst layers and flow channels. These equations were solved using numerical techniques such as Runge-Kutta 4th order method and Shooting technique in MATLAB. The influence of various parameters such as anionic conductivity, active catalyst surface area, glucose concentration, temperature on DGFC performance is investigated. Our results show that, the increase in glucose concentration after certain limit does not increase the DGFC performance and increase in the catalyst surface area always increases the performance of DGFC. Also, the anodic overpotential is large compared to cathodic overpotential due to complex kinetics of the glucose electrooxidation.
"],"dc:identifier":["https://opus.govst.edu/theses/70"],"dc:subject":["Direct Glucose Fuel Cell","mathematical modelling","overpotential","cell performance","Mathematics"],"dc:title":["Mathematical Simulation of Direct Glucose Fuel Cell"],"thesis:degree_discipline":["Mathematics"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science"]},"updated_at":"2026-07-24T02:24:36Z"}