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Grant: Alliance Grants

University of Waterloo

$91,800.00

Development of a multiscale multiphysics simulation toolset with uncertainty for nuclear safety assessment, design, and licensing of SMRs

EF 2023-24

Résumé
The objective of this proposal is to develop an integrated software tool set for nuclear safety assessment that combines a physics-based computer modelling and simulation of advanced small modular reactors (SMRs) with a comprehensive quantification of all uncertainties that arise in the modelling. This will enable an end-to-end uncertainty quantification (UQ) and principled safety (accident) analysis, prediction, and decision-making framework for SMRs (and, more broadly, for the next-generation advanced nuclear reactor technologies based on non-light water coolants such as molten salt, liquid metal and gas that will need to be assessed, monitored and controlled throughout their life cycle). Incorporation of UQ in the large-scale scientific simulator developed in this proposal, consisting of the coupling of a computational fluid dynamics model with a systems code, is the key-enabling technology that will provide the reliability, resilience, and trust for safety/mission-critical assessments in those settings that can potentially involve catastrophic consequences. Inclusion of information with respect to whether various figures of merit used in the safety evaluation of SMRs are confident or uncertain will permit more informed (science-based) decisions to be made by decision makers concerning the certification and licensing of advanced SMRs in Canada. As a consequence, this is especially beneficial for Canada's clean energy future as SMRs can produce a large amount of clean energy so this potentially disruptive technology must be one of the solutions to a carbon-free future path for Canada. Moreover, the small footprint of SMRs implies that they can be sited at remote locations and can be installed into the existing grid system or remotely off grid (e.g., in remotely indigenous communities) and, as a result, is an enabling technology for a clean energy future in Canada.
Programme
Alliance Grants
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
580447-2022
Name nom
Lien, Fue-Sang F-S
Department département
Mechanical Engineering and Mechatronics
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2022
Award amount
91800
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
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
2400
Research subject group en
Nuclear engineering
Research subject group fr
Nuclear engineering
Research subject en
Génie nucléaire
Research subject fr
Génie nucléaire
Application title
Development of a multiscale multiphysics simulation toolset with uncertainty for nuclear safety assessment, design, and licensing of SMRs
Keyword
Computational fluid dynamics (CFD); Multiscale coupled TH/CFD toolset; Nuclear safety analysis and design; Small modular reactors; Thermalhydraulics (TH); Uncertainty quantification; Verification and validation
Application summary
The objective of this proposal is to develop an integrated software tool set for nuclear safety assessment that combines a physics-based computer modelling and simulation of advanced small modular reactors (SMRs) with a comprehensive quantification of all uncertainties that arise in the modelling. This will enable an end-to-end uncertainty quantification (UQ) and principled safety (accident) analysis, prediction, and decision-making framework for SMRs (and, more broadly, for the next-generation advanced nuclear reactor technologies based on non-light water coolants such as molten salt, liquid metal and gas that will need to be assessed, monitored and controlled throughout their life cycle). Incorporation of UQ in the large-scale scientific simulator developed in this proposal, consisting of the coupling of a computational fluid dynamics model with a systems code, is the key-enabling technology that will provide the reliability, resilience, and trust for safety/mission-critical assessments in those settings that can potentially involve catastrophic consequences. Inclusion of information with respect to whether various figures of merit used in the safety evaluation of SMRs are confident or uncertain will permit more informed (science-based) decisions to be made by decision makers concerning the certification and licensing of advanced SMRs in Canada. As a consequence, this is especially beneficial for Canada's clean energy future as SMRs can produce a large amount of clean energy so this potentially disruptive technology must be one of the solutions to a carbon-free future path for Canada. Moreover, the small footprint of SMRs implies that they can be sited at remote locations and can be installed into the existing grid system or remotely off grid (e.g., in remotely indigenous communities) and, as a result, is an enabling technology for a clean energy future in Canada.