Grant: Alliance Grants
Toronto Metropolitan University
$25,000.00
Three-dimensional Characterization of Electrode Ionomer Networks for Clean Electrochemical Energy Devices
EF 2024-25
Résumé
While proton exchange membrane fuel cells are a promising alternative to internal combustion engines, their insufficient performance and durability continue to hinder their wider adoption. One of the main contributors to the insufficiencies is the ionomer, an ion-conducting binder material that binds the catalyst particles. While these ionomers are responsible for effective delivery of protons and oxygen to the catalyst surface, these ionomer layers have poor transport properties (such as oxygen diffusivity and ionic conductivity) that leads to poor performance and durability. Despite the importance, ionomer films and their effect remain poorly understood. In the proposed research, we would like to develop a novel platform, termed Electrode Ionomer Network (EIN), that allows characterization of ionomer film properties and mimics the ionomer network of a real electrode. We propose collaborating with Prof. Litster's group; they possess world-class X-ray nano-computed tomography capabilities that enable three-dimensional characterization of electrode materials for fuel cells. The results will inform design strategies for developing EINs that are closely representative of real electrode materials for fuel cells.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
597450-2024
Name nom
Lee, ChungHyuk CL
Department département
Chemical Engineering
Organization id
43
Institution établissement
Toronto Metropolitan University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
25000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
305
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy storage and conversion
Area of application fr
Stockage et transformation de l'énergie
Research subject code
1805
Research subject group en
Chemical engineering
Research subject group fr
Génie chimique
Research subject en
Transport processes
Research subject fr
Procédés de transfert
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Three-dimensional Characterization of Electrode Ionomer Networks for Clean Electrochemical Energy Devices
Keywords
catalyst; catalyst layer; cation contamination; durability; energy efficiency; fuel cells; ion conductivity; ionomer; perfluorosulfonic acid; x-ray computed tomography
Application summary
While proton exchange membrane fuel cells are a promising alternative to internal combustion engines, their insufficient performance and durability continue to hinder their wider adoption. One of the main contributors to the insufficiencies is the ionomer, an ion-conducting binder material that binds the catalyst particles. While these ionomers are responsible for effective delivery of protons and oxygen to the catalyst surface, these ionomer layers have poor transport properties (such as oxygen diffusivity and ionic conductivity) that leads to poor performance and durability. Despite the importance, ionomer films and their effect remain poorly understood. In the proposed research, we would like to develop a novel platform, termed Electrode Ionomer Network (EIN), that allows characterization of ionomer film properties and mimics the ionomer network of a real electrode. We propose collaborating with Prof. Litster's group; they possess world-class X-ray nano-computed tomography capabilities that enable three-dimensional characterization of electrode materials for fuel cells. The results will inform design strategies for developing EINs that are closely representative of real electrode materials for fuel cells.