Ontario Energy Supply Network Modeling, Evaluation, and Optimization of Gas-Power Conversion and Supply Technologies

 

Lead-PI

Dr. Hossam A.Gabbar, UOIT

Funding

NSERC, OCE, Industry

Industrial Partners

Hydrogenics, Veridian,  Intergraph,  MaRS

Project Collaborators

OPA, CNL/AECL, Whitby Hydro, 0thers

 

 

 Research Team

Position

Name

Institution

Postdoctoral Researcher

 

Dr. Aboelsood Zidan

Dr. Ahmed Eldessouky

UOIT

Research and MASc Student

Mayn Tomal

 

UOIT

Visiting PhD Student

Yacine Labbi

Previous Members

Research and MASc Students

 

Jason Runge

 

 

 

UOIT

Daniel Bondarenko

Undergraduate Students

Lowell Bower

Devarsh Pandya

Postdoctoral Researcher

Dr. Rabiul Islam

Visiting Students

Apurva Agarwal

 

 

Objectives

The project is aiming to optimize Ontario’s gas and power grids to provide a better quality, more reliable, and environmentally friendly power system while satisfying regional energy demands and reducing generation cost. The project explores the integration of gas and renewable energy generation technologies within various electricity generation scenarios with the goal of developing designs for a resilient micro energy grid (MEG).

 

Successful Outcomes

1.      Modeling Ontario gas grid topology and physical systems within GIS

2.      Modeling Ontario power grid topology and physical systems within GIS

3.      Gas grid real time data collection in higher level around Ontario

4.      Power grid real time data collection in higher level around Ontario

5.      Evaluate design and configuration of hydrogen fuel cells

6.      Evaluate micro energy grids with gas-power technologies

 

Work in Progress

1.      Modeling of gas-power conversion, generation, storage, and transportation

 

Planned tasks

1.      Gas-power technology assessment with regional energy analysis

2.      KPI modeling of Ontario gas-power technologies and grids

3.      Multi-objective optimization of synthesized gas-power scenarios

4.      Integrated Ontario gas-power energy analysis

5.      Project reporting and documentation

 

Project target

An intellectual decision making tool for the generation and distribution of gas–power energy optimization.

 

Targeted Industries

The final product of the project is targeted to be the prime solution provider of technically, economically and environmentally responsible stockholder and industries for Ontario energy supply network modeling, evaluation, and optimization of gas-power conversion and supply technologies.

1. Governmental Energy Authorities: Governments are among biggest investors in energy technologies. The proposed tool allow government to model, evaluate and optimize gas-power conversion and different supply technologies. The output of the proposed tool will be the optimized power generation percentages for each technology with values for four key performance indicator (KPI) categories: Cost, Quality, Reliability, and Environmental Friendliness. Therefore, the proposed tool allow government to improve energy profile, reduce energy cost and emission.

2. Local Distribution Companies (LDCs): Local distribution companies are able to offer electricity customers (residential, commercial and industrial) with lower energy bills, environmental friendly, more reliable and more convenient energy supply.       

3. Solar Panels (PV) and wind turbine industries: The optimal sizing and siting of solar panels and wind turbines resources allows penetration of renewables and provides good opportunity of PV and wind turbine industries to market their products.

 

Publications

Journal Papers

1.      Hossam A.Gabbar, Yacine Labbi, Lowell Bower, Devarsh Pandya, Performance Optimization of Integrated Gas and Power Within Micro Energy Grid Using Particle Swarm Optimization Algorithm, In-submit.

2.      Nasser Ayoub, Hossam A.Gabbar, Hybrid Transportation Model Forecasting and Optimization with Practical Fuel Supply Chain, International Journal of Supply Chain and Operations Resilience (Accepted)

3.      Amir Hossein Hosseini, Sajid Hussain, Hossam A.Gabbar, Detecting Nonlinear Interrelation Patterns among Process Variables Using Genetic Programming, Journal of Soft Computing, Springer, October, 2013, DOI 10.1007/s00500-013-1142-3.

4.      Hossam A.Gabbar, Razibul Islam, Manir U Isham, Vatsal Trivedi, Risk-Based Performance Analysis of Micro Grid Topology with Distributed Energy Generation, International Journal of Electrical Power and Energy Systems 43 (2012) 1363–1375.

5.      Sajid Hussain, Hossam A.Gabbar, Coupling Estimation for Process Variable Interaction Analysis and Applications in Process Industry, International Journal of Process Systems Engineering (IJPSE), Vol. 2, No. 1, 2012.

6.      Hossam A.Gabbar, Raymond Bedard, Risk-Based Performance Analysis For Regional Hybrid Transportation Fuel With Compressed Natural Gas Option, International Journal of Process Systems Engineering, Vol. 2, No. 2, 2012, pp: 154.

7.      Hossam A.Gabbar, Ming Xiaoli, Abdelazeem Abdelsalam, Negar Honarmand, Key Performance Indicator Modeling for Micro Grid Design and Operation Evaluation, International Journal of Distributed Energy Resources and Smart Grids, Volume 10, Number 4, October – December 2014, ISSN 1614-7138, pp 219-242.

8.      Hossam A. Gabbar, Abdelazeem Abdelsalam, Microgrid Energy Managements in Grid-Connected and Islanded Modes based SVC, Energy Conversion and Management, Volume 86, October 2014, Pages 964-972.

9.      Hossam A. Gobber and F. R. Islam, “CHP Based Smart Micro Energy Grid: Optimum Operation with Distributed Energy Resources”, In-submit.

10.  Hossam A.Gabbar, Jason Runge, Daniel Bondarenko, Lowell Bower, Devarsh Pandya, Farayi Musharavati, and Shaligram Pokharel, Performance Evaluation of Gas-Power Strategies for Building Energy Conservation, Energy Conversion and Management, Volume 93, 15 March 2015, Pages 187-196.

 

Conferences

1.      Hossam A. Gobber, Lowell Bower, Devarsh Pandya , Apurva Agarwal, M.U. Tomal and F. R. Islam  “Resilient Micro Energy Grids with Gas-Power and Renewable Technologies” The 2nd IEEE Conference on Power Engineering and Renewable Energy ICPERE 2014, Bali Indonesia.

2.      Hossam A.Gabbar, J. Runge, D. Bondarenko, F. Mushawavati, S. Pokharel, L. Bower and D. Pandya, "Performance Evaluation of Gas-Power Strategies for Building Energy Conservation," in IEEE, Toronto, 2015

 

Graphic User Interface (GUI) for Test Facility

GUI

 

KPI evaluation at zonal level