Grant: Alliance Grants
Toronto Metropolitan University
$25,000.00
Collaborative Studies on Soot Particle Formation and Characterization
EF 2022-23
Résumé
Soot particles are carbon nanoparticles that are unnecessarily emitted from many combustion processes. Soot particles are considered the second worst contributor to climate change and adversely affect human health, as soot is a carcinogenic, genotoxic, and teratogenic pollutant. This NSERC Alliance seeks to facilitate the reduction in combustion-generated soot particle emissions by advancing the understanding and numerical modelling of the physics of soot formation. Despite the detrimental consequences of soot emissions and the pressing need for their reduction, there remains key knowledge gaps in the soot formation process that have severely inhibited reduction. To advance the understanding of the processes that lead to soot formation, this proposed international NSERC Alliance with Ryerson University in cooperation with the University of Michigan, will integrate two existing models for soot prediction - one focused on the chemical growth of soot precursors and the other focused on the particle and fluid dynamics of soot-producing combustion - to create a novel, robust predictive tool. The application of the resultant tool will help elucidate the combustion conditions that are conducive to soot formation, why they are so, and how they can be modified to minimize emissions. The outcomes of this research are expected to 1) lead to a stronger fundamental understanding of the mechanisms that produce soot particles, 2) produce new soot formation models with significantly enhanced predictive accuracy, applicability, and detail, and 3) help to mitigate the environmental and health issues associated with soot formation. In doing so, this research will support Canada's environmental efforts, ameliorate the air quality and health of its people, and assist Canadian industries in meeting bold emissions reductions targets.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
572808-2022
Name nom
Dworkin, Seth SB
Department département
Mechanical and Industrial 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
2022
Competition year année de concours
2022
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
2110
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Combustion
Research subject fr
Combustion
Installment
inst:1
Partie
1
Nb partie
1
Application title
Collaborative Studies on Soot Particle Formation and Characterization
Application summary
Soot particles are carbon nanoparticles that are unnecessarily emitted from many combustion processes. Soot particles are considered the second worst contributor to climate change and adversely affect human health, as soot is a carcinogenic, genotoxic, and teratogenic pollutant. This NSERC Alliance seeks to facilitate the reduction in combustion-generated soot particle emissions by advancing the understanding and numerical modelling of the physics of soot formation. Despite the detrimental consequences of soot emissions and the pressing need for their reduction, there remains key knowledge gaps in the soot formation process that have severely inhibited reduction. To advance the understanding of the processes that lead to soot formation, this proposed international NSERC Alliance with Ryerson University in cooperation with the University of Michigan, will integrate two existing models for soot prediction - one focused on the chemical growth of soot precursors and the other focused on the particle and fluid dynamics of soot-producing combustion - to create a novel, robust predictive tool. The application of the resultant tool will help elucidate the combustion conditions that are conducive to soot formation, why they are so, and how they can be modified to minimize emissions. The outcomes of this research are expected to 1) lead to a stronger fundamental understanding of the mechanisms that produce soot particles, 2) produce new soot formation models with significantly enhanced predictive accuracy, applicability, and detail, and 3) help to mitigate the environmental and health issues associated with soot formation. In doing so, this research will support Canada's environmental efforts, ameliorate the air quality and health of its people, and assist Canadian industries in meeting bold emissions reductions targets.