Grant: Engage Grants Program
University of Ontario Institute of Technology
$25,000.00
Development of heat-transfer correlation for supercritical carbon dioxide to be used in applied CFD analysis
EF 2014-15
Résumé
SuperCritical Fluids (SCFs) have been used for some time in various industries, but still up till now their wide application is limited due to incomplete knowledge of specifics of thermophysical properties and heat transfer of these fluids. The most widely used SCFs are water and carbon dioxide. Supercritical water is proposed as a coolant in Generation IV nuclear-reactor concept - a SuperCritical Water-cooled Reactor (SCWR) and as a working fluid in supercritical-pressure Rankine steam cycle in other Gen IV concepts. However, water is not compatible with sodium, molten salts and due to that for reactors with these coolants SuperCritical (SC) carbon dioxide is proposed as a working fluid in the power cycle - Brayton gas-turbine cycle. Therefore, knowledge of specifics of thermophysical properties and heat transfer to SC carbon dioxide is very important for development of power cycles for Sodium Fast Reactor (SFR) and Molten Salt Reactor (MSR). Unfortunately,Computer Fluid Dynamics (CFD) software cannot predict heat transfer in SC carbon dioxide, because heat transfer in SCFs is very complicated phenomena. Also, thermophysical properties of SCFs change very significantly within critical and pseudocritical regions, which creates significant problems in using standard CFD models. Therefore, development of an accurate heat-transfer empirical correlation for SC carbon dioxide to be implemented in modern CFD software is an important task. Experimental datasets for SC carbon dioxide flowing upward in circular vertical bare tubes within specified ranges will be collected and analyzed. Experimental data will be verified and processed. Based on these datasets an empirical heat-transfer correlation will be developed within the designated range of operating conditions and, later on, will be implemented in the PHOENICS CFD software. The Company, Applied Computational Fluid Dynamics Analysis (ACFDA), will be introduced to a new area of research as a short goal and will be able to use the developed correlation in various heat-exchangers calculations for Generation IV nuclear-reactor-concepts power cycles as a longer-term goal.
Programme
Engage Grants Program
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
462614-2014
Name nom
Pioro, Igor
Department département
Energy Systems & Nuclear Science, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2014
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
2100
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Mechanical engineering
Research subject fr
Génie mécanique
Partie
1
Nb partie
1
Application title
Development of heat-transfer correlation for supercritical carbon dioxide to be used in applied CFD analysis
Keyword
NSERC
Application summary
SuperCritical Fluids (SCFs) have been used for some time in various industries, but still up till now their wide application is limited due to incomplete knowledge of specifics of thermophysical properties and heat transfer of these fluids. The most widely used SCFs are water and carbon dioxide. Supercritical water is proposed as a coolant in Generation IV nuclear-reactor concept - a SuperCritical Water-cooled Reactor (SCWR) and as a working fluid in supercritical-pressure Rankine steam cycle in other Gen IV concepts. However, water is not compatible with sodium, molten salts and due to that for reactors with these coolants SuperCritical (SC) carbon dioxide is proposed as a working fluid in the power cycle - Brayton gas-turbine cycle. Therefore, knowledge of specifics of thermophysical properties and heat transfer to SC carbon dioxide is very important for development of power cycles for Sodium Fast Reactor (SFR) and Molten Salt Reactor (MSR). Unfortunately,Computer Fluid Dynamics (CFD) software cannot predict heat transfer in SC carbon dioxide, because heat transfer in SCFs is very complicated phenomena. Also, thermophysical properties of SCFs change very significantly within critical and pseudocritical regions, which creates significant problems in using standard CFD models. Therefore, development of an accurate heat-transfer empirical correlation for SC carbon dioxide to be implemented in modern CFD software is an important task. Experimental datasets for SC carbon dioxide flowing upward in circular vertical bare tubes within specified ranges will be collected and analyzed. Experimental data will be verified and processed. Based on these datasets an empirical heat-transfer correlation will be developed within the designated range of operating conditions and, later on, will be implemented in the PHOENICS CFD software. The Company, Applied Computational Fluid Dynamics Analysis (ACFDA), will be introduced to a new area of research as a short goal and will be able to use the developed correlation in various heat-exchangers calculations for Generation IV nuclear-reactor-concepts power cycles as a longer-term goal.