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Grant: Canada Research Chairs

University of Alberta

$100,000.00

Intelligent Energy Systems

EF 2023-24

Résumé
In the foreseeable future, energy is and will continue to be the backbone of the global economy. But because of the depletion of fossil fuels, climate change and advances in technology, the energy industry is being radically reshaped worldwide. A critical step of the energy industry reshaping involves the utilization of distributed energy resources for economic and environment-friendly energy production. Typical examples of distributed energy resources include distributed generation units such as photovoltaic panels and wind turbines, and distributed storage units such as batteries, flywheels, and electric vehicles or electric buses with vehicle-to-grid capabilities. In order to manage all the energy sources and loads, intelligent energy systems are being developed by leveraging advanced information and communication technology (ICT). Yet, significant technical challenges still exist in the related research and development in intelligent energy systems. In particular, given a large number of ICT devices deployed in the energy systems, research still lags on fully interpreting and utilizing the data collected by these devices to facilitate energy system operation. To address these challenges, the long-term goal of Dr. Liang's program is to establish an architecture of intelligent energy systems and build up an advanced information and communication system as a "glue" to interconnect all the energy sources and loads, such that the energy flows in industrial, commercial, residential, and transportation sectors can be established in an efficient, reliable, sustainable, and secure way. Specifically, Dr. Liang will develop advanced modeling and optimization tools to facilitate the operation and control of intelligent energy systems with cyber-physical resilience enhancement. In order to address the intrinsic high computational complexity of these advanced models and optimization tools, forward-looking research topics on deep reinforcement learning and quantum computing will also be investigated. The emerging and interdisciplinary nature of the chair position makes it unique across Canada, distinct from the existing programs with focused areas on distribution systems, power electronics, and cyber security. As the evolution of traditional energy systems towards intelligent energy systems is a worldwide trend, the results of this chair’s program will help Canada establish and reinforce its world leadership in both energy and ICT industries.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
CRC-2021-00446
Name nom
Liang, Hao
Department département
Department of Electrical and Computer Engineering - University of Alberta
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2021
Award amount
100000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
10000
Area of application group en
The socioeconomic objective available
Area of application group fr
L'objectif socioéconomique disponible
Area of application en
The socioeconomic objective available
Area of application fr
L'objectif socioéconomique disponible
Research subject code
10000
Research subject group en
The field of research available
Research subject group fr
The field of research available
Research subject en
Le domaine de recherche disponible
Research subject fr
Le domaine de recherche disponible
Field of research list codes
RDF2030109
Field of research list names en
Computer-aided design
Field of research list names fr
Conception assistée par ordinateur
Socioeconomic objective list codes
RDS10504
Socioeconomic objective list names en
Renewable energy
Socioeconomic objective list names fr
Énergies renouvelables
Application title
Intelligent Energy Systems
Keyword
Smart Grid; Renewable Energy; Energy Storage ; Communication Networks; Cyber-Physical Systems; Quantum Computing
Application summary
In the foreseeable future, energy is and will continue to be the backbone of the global economy. But because of the depletion of fossil fuels, climate change and advances in technology, the energy industry is being radically reshaped worldwide. A critical step of the energy industry reshaping involves the utilization of distributed energy resources for economic and environment-friendly energy production. Typical examples of distributed energy resources include distributed generation units such as photovoltaic panels and wind turbines, and distributed storage units such as batteries, flywheels, and electric vehicles or electric buses with vehicle-to-grid capabilities. In order to manage all the energy sources and loads, intelligent energy systems are being developed by leveraging advanced information and communication technology (ICT). Yet, significant technical challenges still exist in the related research and development in intelligent energy systems. In particular, given a large number of ICT devices deployed in the energy systems, research still lags on fully interpreting and utilizing the data collected by these devices to facilitate energy system operation. To address these challenges, the long-term goal of Dr. Liang's program is to establish an architecture of intelligent energy systems and build up an advanced information and communication system as a "glue" to interconnect all the energy sources and loads, such that the energy flows in industrial, commercial, residential, and transportation sectors can be established in an efficient, reliable, sustainable, and secure way. Specifically, Dr. Liang will develop advanced modeling and optimization tools to facilitate the operation and control of intelligent energy systems with cyber-physical resilience enhancement. In order to address the intrinsic high computational complexity of these advanced models and optimization tools, forward-looking research topics on deep reinforcement learning and quantum computing will also be investigated. The emerging and interdisciplinary nature of the chair position makes it unique across Canada, distinct from the existing programs with focused areas on distribution systems, power electronics, and cyber security. As the evolution of traditional energy systems towards intelligent energy systems is a worldwide trend, the results of this chair’s program will help Canada establish and reinforce its world leadership in both energy and ICT industries.