Optimizing the Implementation of Small Modular Reactors Into Ontario’s Future Energy Mix

The current research project investigates Ontario’s implementation of SMRs over an initial 30-year period, allowing for consideration of Ontario’s current energy mix as well as approximately two generations of SMR installations. Using linear programming and IBM’s CPLEX ILOG Optimization software, the development of a model which may compare front line SMR designs with the province’s existing energy mix is underway. In its current form, the model seeks to minimize the overall future cost of electricity production in Ontario by replacing a fraction of the existing electrical capacity with a generic SMR design.
Going forward, the opportunity to work closely with Prof. Fujii’s research group will allow for significant increases in the existing model such that it can consider secondary constraints such as CO2 emissions, future costs of nuclear waste disposal and the hourly availability of competing energy methods. During this period, the project will also aim to optimize the comparative cost of electricity generation from varying candidate SMR designs, estimate the storage capacity requirements for used SMR fuel and quantify the risk and uncertainty that will accumulate as a result of used SMR fuel transportation, storage and disposal.

Faculty Supervisor:

Shinya Nagasaki

Student:

Partner:

The University of Tokyo

Discipline:

Engineering

Sector:

Education

University:

McMaster University

Program: