Electricity necessary to run the water transmission in Toronto and York region costs over $35 million per year. This value can be significantly reduced by optimization of the pumping schedules. The optimizer ﬁnds a solution (pump schedule) that reduces energy consumed and energy cost. As part of the optimization, it also finds operating points of the pumps that maximize their efﬁciency. Further, reduction of the mean pressure in the system also reduces water leaks, as well as losses caused by the ﬂow resistance.
During the initial six months after the system was deployed the power consumption was reduced by 16 million kWh, which is an equivalent to the 11244 tons of carbon dioxide emission.
The dynamic prices of electricity in connection with ability to accumulate potential energy in water reservoirs allow for further reductions of costs through performing the pumping in the off-peak periods.
- Błaszczyk, J; Malinowski, K; Allidina, A, "Aggregated Pumping Station Operation Planning Problem (APSOP) for Large Scale Water Transmission System", Applied Parallel Scientific Computing; pp. 260-269; 2012; Springer-Verlag,
- Błaszczyk, J; Malinowski, K; Allidina, A,"Optimal Pump Scheduling by NLP for Large Scale Water Transmission System", 28th European Conference on Modelling and Simulation (ECMS 2014); pp. 501-507; 2014;