Pipelines 2018
Water and Energy Efficiency: Transmission Operations Optimizer (TOO) City of Toronto Water Supply
Publication: Pipelines 2018: Utility Engineering, Surveying, and Multidisciplinary Topics
ABSTRACT
This paper describes the implementation of an automatic control system based on operational optimization, for city of Toronto and York Region Water Transmission System. The new automation system has been in operation since November 2015. The water supply system, serving a population of 3.4 million, is the largest in Canada and one of the largest in North America. The system consists of treated water pumping at four filtration plants, 18 pumping stations, 15 reservoirs/tanks, 126 pumps (up to 1,865 kW (2,500 hp)), and approximately 500 km (310 miles) of large transmission mains. While the city of Toronto and the region of York provide the water delivery/service requirements in a cost effective and uninterrupted manner, the complexity of the water system and the volatility and complex structure of the energy rates, present opportunities for benefitting from automation and further optimizing operations. As part of the new automation process, the transmission operations optimizer (TOO) minimizes energy used and cost of energy, while ensuring fundamental service delivery standards including pressure, flow, and storage are met. Pre-set minimum (critical) storage levels are not violated. ‘Optimal’ automatic control strategies are achieved for different seasonal, weekday/weekend demand patterns, as well as when abnormal events occur such as a pumping station or filtration plant being taken out-of-service. TOO involves water consumption/demand prediction, energy rate prediction, hydraulic modeling, mathematical optimization, analytical algorithms, data integration and on-line monitoring of system performance, and energy spot-market rate.
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REFERENCES
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J. Błaszczyk, K. Malinowski, and A. Allidina. Optimal Pump Scheduling by Non-Linear Programming for Large Scale Water Transmission System. In N. Callaos, T.G. Gill, and B. Sánchez, editors, Proc. CCISE 2013, pages 7–12, Winter Garden, Florida, U.S.A., 2013. International Institute of Informatics and Systemics (IIIS).
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K. Malinowski, J. Błaszczyk, and A. Allidina. Optimizing Control for Large Scale Dynamic Systems; General Issues and Case Study Results: Transmission Operations Optimizer for Toronto Water System. In The 23rd ICE/IEEE International Technology Management Conference (ITMC), Madeira Is- land, Portugal, June 27–29, 2017, page 8. IEEE, June 2017.
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J. Błaszczyk, K. Malinowski, and A. Allidina. Aggregated Pumping Station Operation Planning Problem (APSOP) for Large Scale Water Transmission System. In K. Jónasson, editor, Proc. PARA 2010, volume 7133 of Lecture Notes in Computer Science, pages 260–269, Berlin/Heidelberg, 2012. Springer-Verlag Inc.
Information & Authors
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Published In
Pipelines 2018: Utility Engineering, Surveying, and Multidisciplinary Topics
Pages: 1 - 8
Editors: Christopher C. Macey, AECOM and Jason S. Lueke, Ph.D., Associated Engineering
ISBN (Online): 978-0-7844-8166-0
Copyright
© 2018 American Society of Civil Engineers.
History
Published online: Jul 11, 2018
Published in print: Jul 12, 2018
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