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Hamid Mirza
M.A.Sc. Candidate
Department of Chemical Engineering
Office: DWE 2536B
Phone: 519-888-4567 ext. 36097
Email: hrmirzae@uwaterloo.ca
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Supervisor(s): Peter Douglas, Eric Croiset, Ali Elkamel
Research Interests
A Multi-period Optimization Strategy for Energy Planning with CO2 Emission Considerations
- Planning for Ontario’s future energy supply mix is a very challenging undertaking which requires consideration of various drivers and decision criteria.
The objective of this project is to develop a multi-period mixed-integer linear programming (MILP) model in order to realize the optimal mix of energy supply sources which will meet current and future electricity demand, CO2 emission targets, and lower the overall cost of electricity. This model is implemented in GAMS (General Algebraic Modeling System).
The model is formulated using an objective function that minimizes the net present value of the cost of electricity (COE) over a time horizon of 20 years. The formulation incorporates several time dependent parameters such as forecasted energy demand, fuel price variability, construction lead time, conservation initiatives, and increase in fixed operational and maintenance costs over time.
- Although this project is aimed at Ontario’s future energy supply mix, it could also be readily applied to other regions or even countries as a whole. This model offers many potential benefits to Ontario’s energy sector. In addition to providing an optimal solution for meeting future electricity demand, it can help Ontario meet its emissions targets while minimizing the overall cost of electricity.
