Grant: Discovery Grants Program - Individual
University of Ontario Institute of Technology
$20,000.00
Intelligent safety systems for energy & production facilities
FY 2012-13
Summary
Accidents are still occurring in production and energy industries. Especially with the growth and increase in their complexity and expansion for higher productivity. With the tendency to move towards real time optimization of production process and the introduction of energy supply systems, dynamic behaviours are introduced, which led to dynamic hazard scenarios with great uncertainties. Unfortunately, existing methods and tools of safety design are based on rigid safety control strategies and fixed reliability calculations, which made it difficult to provide viable and cost-effective safety systems that can deal with these dynamic risk scenarios. Accurate safety design is mainly based on complete hazard scenario analysis. However, this is not achievable in view of current hazard identification and analysis methods and tools. In addition, there are limitations in the automatic mapping of fault and hazard scenarios into safety requirements, which time consuming. Moreover, there is a lack of dynamic and accurate calculations of target and current risk and reliability for each hazard scenario, which is essential to specify target safety systems and to provide reliable protection in different/multiple scenarios.
This research program will investigate methods and intelligent tools to support the design, verification, and operation of safety systems and their implementation in energy and production systems. Advanced methods will be investigated to automatically synthesize all possible hazard scenarios and the map to the corresponding safety requirements. Advanced real time and simulated risk assessment and qualitative and quantitative fault analysis and prediction techniques will be developed and applied to analyze and design safety systems. Safety control will synthesized for instrumented and non-instrumented safety systems Risk assessment techniques will be investigated to support safety system design and operation. The proposed intelligent safety systems will be applied on different energy technologies such as hydrogen, natural gas, solar, wind, geothermal, and other manufacturing and production systems.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
372179-2011
Name nom
Gaber, Hossam
Department département
Energy Systems & Nuclear Science, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2012
Competition year année de concours
2011
Award amount
20000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
300
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy resources (including production, exploration, processing, distribution and use)
Area of application fr
Ressources d'énergie (production, exploration, traitement, distribution et utilisation de l'énergie)
Research subject code
2109
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Mechanical systems and instrumentation
Research subject fr
Instrumentation et systèmes mécaniques
Partie
2
Nb partie
5
Application title
Intelligent safety systems for energy & production facilities
Keyword
NSERC
Application summary
Accidents are still occurring in production and energy industries. Especially with the growth and increase in their complexity and expansion for higher productivity. With the tendency to move towards real time optimization of production process and the introduction of energy supply systems, dynamic behaviours are introduced, which led to dynamic hazard scenarios with great uncertainties. Unfortunately, existing methods and tools of safety design are based on rigid safety control strategies and fixed reliability calculations, which made it difficult to provide viable and cost-effective safety systems that can deal with these dynamic risk scenarios. Accurate safety design is mainly based on complete hazard scenario analysis. However, this is not achievable in view of current hazard identification and analysis methods and tools. In addition, there are limitations in the automatic mapping of fault and hazard scenarios into safety requirements, which time consuming. Moreover, there is a lack of dynamic and accurate calculations of target and current risk and reliability for each hazard scenario, which is essential to specify target safety systems and to provide reliable protection in different/multiple scenarios.
This research program will investigate methods and intelligent tools to support the design, verification, and operation of safety systems and their implementation in energy and production systems. Advanced methods will be investigated to automatically synthesize all possible hazard scenarios and the map to the corresponding safety requirements. Advanced real time and simulated risk assessment and qualitative and quantitative fault analysis and prediction techniques will be developed and applied to analyze and design safety systems. Safety control will synthesized for instrumented and non-instrumented safety systems Risk assessment techniques will be investigated to support safety system design and operation. The proposed intelligent safety systems will be applied on different energy technologies such as hydrogen, natural gas, solar, wind, geothermal, and other manufacturing and production systems.
