Exploration of clean energy technologies to support conservation strategies through green energy systems has gained global recognition as a means to a sustainable future in recent years. Director of UOIT’s Energy Safety and Control Lab, Hossam A. Gaber, PhD, specializes in smart energy grid engineering with an emphasis on safety and control engineering in clean energy technology. A Professor, cross-appointed in the Faculty of Energy Systems and Nuclear Science and the Faculty of Engineering and Applied Science, Dr. Gaber’s research focuses on the critical need to design and implement intelligent safety and control systems to enable high performance and reliable energy supply grids.
Author of more than 210 publications including books, chapters and papers specializing in safety and control engineering for smart energy grid and interconnected micro energy grids, Dr. Gaber is a distinguished global energy systems researcher. He is leading plasma-based clean fusion energy research with national and international teams including Carleton University in Ottawa, and universities in China and Japan.
Previously, Dr. Gaber was appointed a tenured Associate Professor in the Division of Industrial Innovation Services at Okayama University in Japan, and he served as a Research Associate with the Tokyo Institute of Technology, the Japan Chemical Innovative Institute, and the Egypt National Research Center, spanning a decade. He has led several large-scale national and international projects in Japan, the Middle East, and Canada.
Inspired by some of academia’s most brilliant minds to strengthen his theoretical foundation and follow a research path, Dr. Gaber completed his Bachelor of Science in Systems Engineering and Automatic Control at Alexandria University in Egypt in 1988, and completed Master’s degree courses in this area before earning his Doctorate in Safety Engineering from the Division of Industrial Innovation Sciences at Okayama University in Japan in 2001.
Dr. Gaber is a Fellow and Founding President of Canada’s Reliability, Availability, Maintainability, and Safety Professionals Society (RAMSP). He is also a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) for his contributions which include: Founding Chair of its SMC Hiroshima Chapter; Founding Chapter Chair of its Nuclear and Plasma Sciences Society, Toronto Section; and Technical Committee Founder and Chair of Intelligent Green Production Systems.
Industry Expertise (7)
Areas of Expertise (10)
Editor-in-Chief, International Journal of Systems Processing Engineering (IJPSE) (professional)
Published quarterly, the IJPSE addresses new process systems engineering methods, trends and technologies and applications in plant, process and product lifecycles, including engineering design and operational activities and their interaction.
Founder and General Chair, IEEE International Conference on Smart Energy Grid Engineering (SEGE) Conference (professional)
Now in its 4th year, Dr. Gaber is the Founder and Chair of the IEEE SEGE Conference, aimed at providing an opportunity to discuss various engineering challenges of smart energy grid design and operation by focusing on advanced methods and practices for designing different components and their integration within the grid.
Second Best Paper Award, Integrated Qualitative & Quantitative Fault Diagnosis (professional)
Dr. Gaber co-authored and presented the paper; and received distinction at the 3rd International Workshop on Computational Intelligence & Applications, organized by the IEEE Systems, Man and Cybernetics Society (SMC) in Okayama, Japan.
Senior Member, IEEE (professional)
In January 2004, Dr. Gaber was appointed Senior Member of IEEE for his contributions to his field.
Okayama University: PhD, A+ Process Systems & Safety Engineering, Department of Systems Engineering 2001
Alexandria University: Master's Degree Courses, Computer Science and Automatic Control 1990
Alexandria University: BSc, Computer Science and Automatic Control 1988
1st Class Honours
- Institute of Electrical and Electronics Engineers (IEEE)
- Professional Engineers Ontario
Media Appearances (3)
UOIT's Dr. Hossam Gaber talks about smart electricity grids at Indonesia conference
UOIT News online
University of Ontario Institute of Technology (UOIT) Professor Dr. Hossam Gaber led a panel of international experts invited to share their latest research findings at a December electric grid planning conference in Indonesia. The International Atomic Energy Agency’s (IAEA) conference in Jakarta examined the future expansion of nuclear energy and its integration with renewable energy sources as well as with oil and natural gas sources.
UOIT smart grid expert exploring Ontario's road to transportation electrification
Global Renewable News online
Dr. Hossam Gaber, Associate Professor, UOIT Faculty of Energy Systems and Nuclear Science presents research at the Mayor of Nanjing's International Consultative Conference, Nanjing, China, September 23, 2014.
Durham University, Qatar University unite
Metroland Media Group print
Dr. Hossam Gabbar forms partnership with Qatar University to develop the latest in advanced energy conservation in industrial and societal facilities.
Event Appearances (15)
Resilient Micro Energy Grids with Gas-Power and Renewable Technologies
The 2nd IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2014 Bali, Indonesia
Smart Energy Grid Engineering and Regional Implementation Plans
International Atomic Energy Agency (IAEA) Meeting Indonesia
Safety Design for Smart Energy Grids
University Teknologi Malaysia Johor Bahru, Malaysia
Advanced Fault Diagnosis and Condition Monitoring in Process Facilities
The Second Workshop on Safety and Integrity Management of Operations in Harsh Environments St. John's, Newfoundland
Advances in Safety and Control Engineering: Future Opportunities for NPP
IAEA Technical Meeting on Advances in Non-Electric Applications of Nuclear Energy and on Efficiency Improvement at Nuclear Power Plants University of Ontario Institute of Technology, Oshawa, Ontario
Advances in Safety Engineering for Energy and Nuclear Facilities
Invited Talk, Tsinghua University Beijing, China
Smart Energy Grids and Micro Grids with Energy Conservation Strategies
2014 Nanjing Mayor International Consultative Conference Nanjing, China
Building Micro Energy Grids with Gas-Power and Renewable Technologies
New Energy Forum, Fuelling a Beautiful World of Cleanness and Sustainability Qingdao, China
Building Energy Conservations and Micro Energy Grids
World Congress of Energy Wise 2014, WEW Taiyuan, China
Symposium on Plasma and Nuclear Systems, Chair
SPANS 2014 Workshop University of Ontario Institute of Technology, Oshawa, Ontario
Smart Micro Energy Grids with Gas-Power and Renewable Technologies, Plenary Talk and Conference Chair
International Conference on Smart Energy Grid Engineering, SEGE 2014 University of Ontario Institute of Technology, Oshawa, Ontario
Energy Conservation in Buildings: Integrated Approach with Smart Energy Grids
Energy Conservation Opportunities in Buildings in Qatar, IEEE, SMC-IGPS Qatar University, Doha, Qatar
Energy Storage Solutions: Options to Improve Power Quality and Reliability, Panel Moderator
Grid Resiliency Through Energy Storage in SW Ontario Sarnia, Ontario
Toward a Sustainable Community in Qatar
Energy Conservation Opportunities in Buildings in Qatar, IEEE SMC-IGPS Qatar University, Doha, Qatar
Advances in Energy Conservations for Smart Green Buildings, Towards Smart and Sustainable Communities Workshop, Chair
IEEE, Systems, Man and Cybernetics Society (SMC), Intelligent Green Production Systems (IGPS) University of Ontario Institute of Technology, Oshawa, Ontario
Research Grants (12)
Design of Thermal System for Electric Wheels
Mitacs Accelerate Grant $90000
Dr. Gaber is principal investigator of this two-year research project aimed at studying the thermal system for high performance electric wheels for transportation electrification.
Resilient Energy Storage Platform for OPUC Power Grid Substation
Oshawa Power Utility Company (OPUC) and UOIT $25000
Dr. Gaber is principal investigator of this collaborative research project between OPUC and UOIT which aims to support of the development and installation of the new substation in Oshawa. The focus in this one-year project is to design a resilient energy storage platform and integrate it with the new substation. In addition, the project will include validation and verification of the new substation design with safety, reliability, and performance tests in view of national and international standards and regulations.
Design of High Performance Electric Wheel Technology
WINA North American Technology Co. Ltd. Industrial Project $15000
Dr. Gabe is principal investigator of this one-year industrial collaboration project aimed at the design and control of high performance electric wheels for demonstration and implementation in transportation systems.
Intelligent Control and Optimization for PV-Based EV Fast Charging Stations
NSERC Engage Grant, Alternate Power International $35000
Dr. Gaber is principal investigator of this one-year research project aimed at the control system design and optimization for PV-based charging stations and their use for transportation electrification infrastructures. It includes integration of energy storage such as flywheel to achieve fast charging stations for EV and electric buses.
Testing Platform for Performance, Reliability and Safety Verification and Validation of Clean Energy Technologies
NSERC Collaborative Research and Development Grant $62000
Dr. Gaber is the principal investigator of this one-year project to design and develop a testing platform to evaluate and verify the performance of clean energy in terms of quality, response, safety, reliability, and availability. It supported testing of a number of clean energy technologies including waste to energy, renewable energy, and other clean energy technologies for energy and transportation infrastructures.
Intelligent Control Design for High Performance Wind Farm with PV Integration within Micro Grid
NSERC Engage Grant, eV Force $40000
Dr. Gaber is principal investigator of this research project to design intelligent control systems for integrated PV-Wind with energy storage as part of micro grids. The proposed solution can be implemented in houses, buildings, and other urban infrastructures.
Verification of Thermoelectric Generator Safety System
Ontario Centres of Excellence (OCE), Voucher for Innovation and Productivity (VIP) $40000
As a result of the 2011 nuclear accident at the Fukushima Nuclear Power Station, a directive was released by many nations ensuring nuclear stations reassess and confirm plant safety for fuel cooling. As Principal Investigator on this one-year project, Dr. Gaber will address the development of an additional nuclear facility Thermoelectric Generator Safety System (TEGSS) to provide power in the event of a complete loss of offsite power.
Intelligent Green Commercial and Industrial Facilities – Smart Green Buildings
IEEE-SMC Industrial Project Fund $3500 U.S.
Chair of the Technical Committee on Industrial Green Production Systems (IGPS) of the IEEE Systems, Man and Cybernetics Society, Dr. Gaber's research supports student research and innovation including the development of a knowledge base for smart green building systems engineering practices and standards, and attendance at an international workshop on Smart Green Building as part of the IEEE SEGE 2016.
Mitacs Globalink Fund
Mitacs Globalink $8000
Awarded to invite an international student to visit UOIT and join research projects at ESCL in Resilient Micro Energy Grids to September 2015.
Mitacs Globalink Fund
Mitacs Globalink $8000
Awarded to invite an international student to visit UOIT and join research projects at ESCL in Safety Verification of Energy and Nuclear Facilities to September 2015.
Ontario Energy Supply Network Modelling, Evaluation, and Optimization of Gas-Power Conversion and Supply Technologies
OCE, NSERC Collaborative Research and Development Grant $217000
This project is aimed at the development of an intelligent decision-making tool to provide solutions for technically, economically and environmentally responsible stakeholders and industries, and facilitate Ontario energy supply network modelling, evaluation, and optimization for optimal gas-power/renewable generation mix.
Simulation Modelling of Physical Mechanisms in Plasma Beams With Electric Currents
Atomic Energy of Canada Limited $160000
As principal investigator, Dr. Gaber's research focuses studying the physics of four high-current intersecting plasma beams both analytically and numerically to support the investigation of clean fusion energy generation. Results from these studies will be used to guide the design of the experimental apparatus for the proposed concept. Preliminary MHD analyses and simulations have already been carried out for one, two and four plasma beams in the previous OCE project. The initial work focused on evaluating and assessing the necessary computer codes as well as developing analytical models for the intersecting plasma beams using the MHD theory.
Energy Conservation with Micro Energy Grids and Multi-Generation Systems
Dr. Maurizio Repetto, Dipartimento di Energia, Politecnico di Torino, Italy
This collaboration includes knowledge exchange through international visits; and a UOIT ESCL student visit Torino to prepare for a large international fund in micro energy grids.
High Performance Microgrids with PV and Energy Storage
Dr. Hasimah Abdul Rahman Universiti Teknologi Malaysia (UTM)
UOIT's Energy Safety and Control Lab and UTM faculty are collaborating on knowledge exchange in the implementation of energy process safety and control, and microgrid design and control in Canada and Malaysia.
High Current Plasma Simulation and Experimentation and its Applications Toward Clean Fusion Energy
HOPE Innovations, Atomic Energy of Canada Limited (AECL), Ontario Centres of Excellence (OCE) Nihon University, Japan
Lead by Dr. Gaber, this $356,000 research project explores mathematical modelling and simulation of high current and high dense plasma beams in partnership with HOPE and AECL scientists, and supported by OCE. A key research goal is the analysis of worldwide fusion experiments to promote a better understanding of the behavior of intersecting plasma beams. Internationally, Dr. Gaber's team is furthering their work through the Advanced Plasma Physics Lab at Nihon University in Japan. This research aims to generate widespread plasma applications in energy and other engineering disciplines.
Advanced Energy Conservation
Qatar University, Qatar National Research Foundation
In collaboration with researchers from Qatar University, Dr. Gaber is the lead principal investigator in a three-year, $1 million international study investigating solutions to advance energy conservation in industrial and societal facilities.
Design and Safety of Fusion Reactors
Dr. Cao Xuewu, Shanghai Jiao Tong University
This research partnership explores advanced engineering design and safety systems for high current plasma beams and their application on clean fusion energy and fuel conversion.
Advanced Plasma Simulation for Clean Fusion Energy
Dr. Toshiki Takahashi Gunma University, Japan
This collaboration investigates advanced simulation methods for multiple beams of high current plasma and their application on clean fusion energy and fuel conversion.
Advanced Fusion Experimentation using High Current Plasma for Clean Fusion Energy
Dr. Tomohiko Asai Nihon University, Japan
This partnership investigates advanced simulation methods for multiple beams of high current plasma and their application on clean fusion energy and fuel conversion.
ELEE 2790, 2nd Year Undergraduate Course
NUCL 3740U, 3rd year Undergraduate Course
Advanced Control Systems
ELEE 4150U, 4th Year Undergraduate Course
Risk Analysis Methods
ENGR 4660U, 4th Year Undergraduate Course
Safety Instrumented Systems
NUCL 5275G, Graduate Course
Advanced Process Control Systems
NUCL 5285G, Graduate Course
The Experimental Plasma Generation System (EPGS) is proposed for studying and investigating plasma behavior in vacuum conditions and under the influence of the varying boundary conditions. Furthermore, (EPGS) is intended to verify the computational models with the physical data.
In this paper, an optimal deployment with respect to capacity sizes and types of DG (distributed generation) for CHP (combined heat and power) systems within microgrids was presented. The objective was to simultaneously minimize the total net present cost and carbon dioxide emission. A multi-objective GA (genetic algorithm) was applied to solve the planning problem including the optimization of DG type and capacity.
This paper proposes an environmental assessment framework that integrates the conventional life cycle assessment (LCA) with risk assessment for the purpose of evaluating energy conservation systems in buildings from environmental and societal perspectives. The inclusion of the potential risks raised by the different stakeholders in this framework will help the LCA professionals to identify accurate system boundaries of their study. This research addresses some limitations of frameworks presented so far by providing process activity modeling, using Type-zero method of integrated definition language, IDEF0, as a tool to describe each phase of its application.
This paper presents performance analysis on hybrid AC/DC microgrid networks for residential home cluster. The design of the proposed microgrid includes comprehensive types of Distributed Generators (DGs) as hybrid power sources (wind, Photovoltaic (PV) solar cell, battery, fuel cell). Details about each DG dynamic modeling are presented and discussed.
In this work, an approach to risk assessment of plasma devices is demonstrated based on functional modeling, which is used to compare the performance of two case studies in terms of risks and safety breaches, particularly the performance of induction electrode-less fluorescent lamp (IEFL) fixture and a high pressure plasma device.
This research proposes an integrated application model for hybrid transportation system (HTS) that include environmentally sustainable vehicles, such as EVs and hydrogen vehicles as main ingredients. A medium- to long-term market forecasting was performed using autoregressive integrated moving average (ARIMA) model to identify the transportation mix by the year 2030.
The purpose of this paper is to evaluate a variety of current Hot Fusion technologies that have either accumulated a significant amount of research and experimental data to be justifiably selected as a potential fusion device, or have exceptional theoretical breakthroughs behind their ideas to justify a design for future developmental work.
This paper presents problem of silted water causing equipment degradation. It proposes a safety design including instrumented and non-instrumented systems to resolve this issue by specifying safety life cycle activities including risk analysis, risk reduction, safety system requirements, safety system implementation and safety assurance. It uses case study as an example and proposes implementation of pressure transmitter linked with fuzzy logic to proactively take actions and report equipment condition to plant personnel.
The work provided herein involves a comparison of natural gas and hydrogen fuels for the purpose of energy conservation for buildings via alternative energy generation methodologies. A case study simulation was developed for an average type of commercial building, a nine storey hotel located in Toronto.
This paper deals with the 3D time-dependent intersecting plasma beams model using Magnetohydrodynamics and Monte Carlo methods under the conditions of high pressures (from 0.01 MPa up to 0.1 MPa) and high current (100 kA).
This paper presents intelligent control design using self-tuning fuzzy logic control technique. The proposed adaptive control design is used to maintain system parameters to be within design limits, which provided means to improve the efficiency of the overall control system. The proposed self-tuning control system is applied on breathing air control systems in nuclear power plant which was recommended to maintain system pressure within design limits.
In the wake of accidents in NPPs recorded in the past such as Chernobyl, TMI, and recently in Fukushima, the need to review existing safety system design and operation as well as performing safety verification of these systems as a means of preventing such accidents in the future is necessary. In this study, we present a framework for achieving safety verification of a NPP with emphasis on using co-simulation with reduced error for real time fault propagation analysis based on Fault Semantic Network in which a multiphysics model is mapped unto fault/risk models, and safety/protection systems of NPPs in order to achieve safety verification based on highest risks and previous accidents.
In the field of plasma technologies a significant portion of the design and development time is devoted to ensure safety. High voltages, currents, temperatures, and pressures encountered among a range of plasma technologies can lead to unnecessary risks for the people and the environment. In this work, an approach to risk assessment of plasma devices is demonstrated based on functional modelling, which is used to compare the performance of two case studies in terms of risks and safety breaches, particularly the performance of induction electrode-less fluorescent lamp (IEFL) fixture and a high pressure plasma device.
In this study, the impact of applying an optimized and intelligent filtering of process signals prior to data analysis is discussed. This is particularly important for neutronic signals in order to increase signal-to-noise ratio (SNR) which suffers the most during start-ups and low power operation. This work is complimentary to the previously published studies on FSN-based fault modelling in CANDU stations. The main objective of this work is to explore the potential research methods using a specific case study and, based on the results and outcomes from this work, to note the possible future improvements and innovation areas.
A wavelet adaptive filtering technique is presented for enhanced fault identification in gearboxes. Based on Morlet wavelet analysis and conventional optimization methods, an adaptive filtering is performed for the background noise removal of vibration signals emanating from gearboxes. A fourth-order statistical moment, kurtosis, is used as an objective function to optimize. A filtered signal is obtained by choosing the suitable Morlet wavelet that maximizes the kurtosis. The optimization framework uses one-dimensional and multidimensional accelerated search techniques to speed up the convergence in solution search space. A novel, transient-based features extraction method based on the shock response spectrum is used to extract characteristic features representing the health state of the gearbox.