Grant: Engage Grants Program
University of Ontario Institute of Technology
$25,000.00
Performance optimization of CHP systems with co-simulation and intelligent control systems
FY 2015-16
Summary
A well designed and maintained combined heat and power (CHP) plant can deliver significant economic and environmental benefits by reducing energy bills and CO2 emission. CHP can provide high performance energy supply with considerable return on investment (ROI) by investors, government, industries, as well as utilities and energy generation companies. In order to maximize the benefits of implementing CHP as a cogeneration energy supply system, it is important to monitor CHP performance, and optimize its operation and control. In order to achieve such a target, it is important to monitor CHP and evaluate its performance using a set of key performance indicators (KPIs) including costs, quality, environment, safety, and other performance criteria. The evaluation of KPIs can be used to evaluate design and operation scenarios to maximize the overall performance of CHP networks within industrial and commercial facilities and infrastructures. The concept of co-simulation will support the evaluation and tuning of CHP models so that it can be used along with real time data to optimize CHP performance as integrated with industrial systems from heat and power grids. CHP performance optimization can be achieved via adaptive control of variable demand of heat and power loads and map to the generation capabilities of CHP plants. The proposed CHP network infrastructure will be implemented using AC/DC micro energy grid with storage and distributed energy generation and resources that will be achieved. Intelligent control and fault tolerant control system design will be developed and evaluated to ensure high performance CHP systems along with high performance control systems. The proposed solution will consider performance degradation issues during the peak and off peak hours, and demand forecasting and demand side management of the integrated CHP-based micro energy grids. The overall system performance will be monitored and optimized.
Program
Engage Grants Program
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
479473-2015
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
2015
Competition year année de concours
2015
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
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
2300
Research subject group en
Fuel and energy technology
Research subject group fr
Combustibles et technologie de l'énergie
Research subject en
Fuel and energy technology (economic geology, use 4003)
Research subject fr
Combustibles et technologie de l'énergie (géologie économique, utiliser 4003)
Partie
1
Nb partie
1
Application title
Performance optimization of CHP systems with co-simulation and intelligent control systems
Keyword
NSERC
Application summary
A well designed and maintained combined heat and power (CHP) plant can deliver significant economic and environmental benefits by reducing energy bills and CO2 emission. CHP can provide high performance energy supply with considerable return on investment (ROI) by investors, government, industries, as well as utilities and energy generation companies. In order to maximize the benefits of implementing CHP as a cogeneration energy supply system, it is important to monitor CHP performance, and optimize its operation and control. In order to achieve such a target, it is important to monitor CHP and evaluate its performance using a set of key performance indicators (KPIs) including costs, quality, environment, safety, and other performance criteria. The evaluation of KPIs can be used to evaluate design and operation scenarios to maximize the overall performance of CHP networks within industrial and commercial facilities and infrastructures. The concept of co-simulation will support the evaluation and tuning of CHP models so that it can be used along with real time data to optimize CHP performance as integrated with industrial systems from heat and power grids. CHP performance optimization can be achieved via adaptive control of variable demand of heat and power loads and map to the generation capabilities of CHP plants. The proposed CHP network infrastructure will be implemented using AC/DC micro energy grid with storage and distributed energy generation and resources that will be achieved. Intelligent control and fault tolerant control system design will be developed and evaluated to ensure high performance CHP systems along with high performance control systems. The proposed solution will consider performance degradation issues during the peak and off peak hours, and demand forecasting and demand side management of the integrated CHP-based micro energy grids. The overall system performance will be monitored and optimized.