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Grant: Discovery Grants Program - Individual

Carleton University

$53,000.00

Fault-Tolerant Reliability Assessment Framework for Smart Energy Storage in Highly Uncertain Environments

EF 2024-25

Résumé
1. Overview While well-maintained power grids are generally more resistant to failure, unavailability of the electrical grid may result in severe consequences. The aim of this research program is the development of self-monitoring energy storage technologies. Establishing an advanced reliability framework will lead to new scientific tools, accelerating their deployment in grid integration and electric transportation applications. To achieve this, calendar aging of next generation energy storage devices is key for developing 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 and extend lifetime use. The developed technologies will provide a foundation for self-monitoring smart-energy storage systems that can recognize failure precursors at an early stage and therefore prevent catastrophic failures. 2. Intellectual merits The aim of this research program is to investigate incipient faults and develop online fault diagnosis/failure prognosis tools to establish early warning systems for future energy systems. Continuously monitoring energy storage is essential, to prevent unexpected shutdowns and failures that could result in fatal accidents or significant loss in operations. Current diagnostic engineering tools are not sophisticated enough to detect/identify in real-time failure precursors in the context of data unavailability, leading to a major reliability gap in energy storage systems. This research program investigates numerous degradation processes of energy storage devices to develop novel, online degradation monitoring tools under limited data availability and to 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 impacts It is crucial for Canada to develop robust and advanced systems to ensure energy security and protect its citizens from energy failure and to retain its competitive edge in energy and transportation sectors. However, to remain competitive, there is an urgent need to invest in self-monitoring energy systems. Furthermore, developed diagnosis/prognosis tools for energy storage can be adapted to the latest generation of power semiconductors, such as wide-bandgap semiconductors. Considering the vast market for semiconductors, industrial benefits extend far beyond energy storage, to fast-growing fields where electronic components are used. Additionally, the research will impact diverse student populations, including underrepresented groups. Canada will benefit from a diverse skilled workforce to address the changing nature of the economy and develop a world-leading innovation economy that creates jobs in an increasingly competitive global economy. Furthermore, the research will generate experimental datasets that will be made publicly available to other researchers.
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-2024-05309
Name nom
Chaoui, Hicham
Department département
Department of Electronics
Organization id
23
Institution établissement
Carleton 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
53000
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
304
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Electrical energy
Area of application fr
Énergie électrique
Research subject code
2509
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Control systems
Research subject fr
Asservissements
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
Fault-Tolerant Reliability Assessment Framework for Smart Energy Storage in Highly Uncertain Environments
Keywords
energy storage; diagnosis; prognosis; fault tolerance; machine learning
Application summary
1. Overview While well-maintained power grids are generally more resistant to failure, unavailability of the electrical grid may result in severe consequences. The aim of this research program is the development of self-monitoring energy storage technologies. Establishing an advanced reliability framework will lead to new scientific tools, accelerating their deployment in grid integration and electric transportation applications. To achieve this, calendar aging of next generation energy storage devices is key for developing 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 and extend lifetime use. The developed technologies will provide a foundation for self-monitoring smart-energy storage systems that can recognize failure precursors at an early stage and therefore prevent catastrophic failures. 2. Intellectual merits The aim of this research program is to investigate incipient faults and develop online fault diagnosis/failure prognosis tools to establish early warning systems for future energy systems. Continuously monitoring energy storage is essential, to prevent unexpected shutdowns and failures that could result in fatal accidents or significant loss in operations. Current diagnostic engineering tools are not sophisticated enough to detect/identify in real-time failure precursors in the context of data unavailability, leading to a major reliability gap in energy storage systems. This research program investigates numerous degradation processes of energy storage devices to develop novel, online degradation monitoring tools under limited data availability and to 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 impacts It is crucial for Canada to develop robust and advanced systems to ensure energy security and protect its citizens from energy failure and to retain its competitive edge in energy and transportation sectors. However, to remain competitive, there is an urgent need to invest in self-monitoring energy systems. Furthermore, developed diagnosis/prognosis tools for energy storage can be adapted to the latest generation of power semiconductors, such as wide-bandgap semiconductors. Considering the vast market for semiconductors, industrial benefits extend far beyond energy storage, to fast-growing fields where electronic components are used. Additionally, the research will impact diverse student populations, including underrepresented groups. Canada will benefit from a diverse skilled workforce to address the changing nature of the economy and develop a world-leading innovation economy that creates jobs in an increasingly competitive global economy. Furthermore, the research will generate experimental datasets that will be made publicly available to other researchers.