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Grant: Discovery Grants Program - Individual

Carleton University

$56,000.00

Online Diagnosis and Lifetime Prognosis of Next Generation Energy Storage Systems

EF 2022-23

Résumé
1. OverviewElectricity has become a necessity in our daily operations and its unavailability may result in undesirable consequences that can be avoided since a well-maintained power grid is generally more resistant to failure. Hence, the aim of this research program is the development of fault-resilient energy storage technologies. Establishing an advanced reliability framework would lead to new scientific tools, accelerating their deployment in grid integration and electric transportation. For that, calendar aging of both next generation energy storage devices is an instrumental key for the development of new fault diagnosis and failure prognosis tools. Once these failure predictors are determined, advanced methods can be developed to minimize aging precursors on these components for their lifetime extension. The developed technologies will provide a foundation for self-monitoring smart-energy storage systems that can recognize failure precursors at an early stage and thus help prevent catastrophic failures.2. Intellectual meritsThe aim is to investigate incipient faults and develop online fault diagnosis/failure prognosis tools to establish early warning systems for future energy systems. The rapid and widespread deployment of energy storage devices raises significant reliability concerns, particularly for safety critical systems. Continuously monitoring these systems is essential to prevent unexpected shutdowns and tragic failures that could result in fatal accidents or significant loss in operations. Current diagnostic engineering tools are not mature enough to detect or identify failure precursors in real-time, leading to a major reliability gap in energy storage systems. In order to reliably move these technologies forward, this research program investigates numerous degradation processes of energy storage devices to develop novel online degradation monitoring tools and improve the overall reliability of energy systems. Developed tools will enable autonomous incipient fault diagnosis and health assessment for self-monitoring smart-energy systems.3. Broader impactsThe expertise and research results will benefit the broad transportation and energy sectors. However, considering the vast market of renewable energies, industrial benefits may go far beyond these sectors and spread to other fast-growing fields. The proposed research program will accelerate technology transfer from academic research to industrial sectors and the intellectual property will be the subject of patent applications for the IP-core, for example. International corporations such as ABB, Vestas, Senvion, Adelser, and so on, and Canadian companies such as, TM4, BRP, Gentec, NovaBus, Hewitt, and Opal-RT Technologies, and so on are primary consumers of the developed technologies.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2018-05299
Name nom
Chaoui, Hicham
Department département
Electronics - Electronics
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2018
Award amount
56000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
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
2500
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electrical and electronic engineering
Research subject fr
Génie électrique et électronique
Installment
inst:5;6
Partie
2
Nb partie
6
Application title
Online Diagnosis and Lifetime Prognosis of Next Generation Energy Storage Systems
Application summary
1. OverviewElectricity has become a necessity in our daily operations and its unavailability may result in undesirable consequences that can be avoided since a well-maintained power grid is generally more resistant to failure. Hence, the aim of this research program is the development of fault-resilient energy storage technologies. Establishing an advanced reliability framework would lead to new scientific tools, accelerating their deployment in grid integration and electric transportation. For that, calendar aging of both next generation energy storage devices is an instrumental key for the development of new fault diagnosis and failure prognosis tools. Once these failure predictors are determined, advanced methods can be developed to minimize aging precursors on these components for their lifetime extension. The developed technologies will provide a foundation for self-monitoring smart-energy storage systems that can recognize failure precursors at an early stage and thus help prevent catastrophic failures.2. Intellectual meritsThe aim is to investigate incipient faults and develop online fault diagnosis/failure prognosis tools to establish early warning systems for future energy systems. The rapid and widespread deployment of energy storage devices raises significant reliability concerns, particularly for safety critical systems. Continuously monitoring these systems is essential to prevent unexpected shutdowns and tragic failures that could result in fatal accidents or significant loss in operations. Current diagnostic engineering tools are not mature enough to detect or identify failure precursors in real-time, leading to a major reliability gap in energy storage systems. In order to reliably move these technologies forward, this research program investigates numerous degradation processes of energy storage devices to develop novel online degradation monitoring tools and improve the overall reliability of energy systems. Developed tools will enable autonomous incipient fault diagnosis and health assessment for self-monitoring smart-energy systems.3. Broader impactsThe expertise and research results will benefit the broad transportation and energy sectors. However, considering the vast market of renewable energies, industrial benefits may go far beyond these sectors and spread to other fast-growing fields. The proposed research program will accelerate technology transfer from academic research to industrial sectors and the intellectual property will be the subject of patent applications for the IP-core, for example. International corporations such as ABB, Vestas, Senvion, Adelser, and so on, and Canadian companies such as, TM4, BRP, Gentec, NovaBus, Hewitt, and Opal-RT Technologies, and so on are primary consumers of the developed technologies.