AWWA ACE58279

As part of the fifth largest water system in North America, the City of Toronto, Ontario supplieswater to 3.3 million consumers within the City and a large portion of the rapidly developingRegion of York to the north. In order to determine the long-term capability of the jointToronto/York water infrastructure to efficiently supply its consumers, the two municipalitiesconducted a far-reaching and technologically advanced study.Central features of the study were development and calibration of a hydraulic water distributionmodel and optimization of infrastructure requirements using genetic algorithm (GA) technology.Advanced modeling techniques included model development using state of the art software,extended period simulation (EPS), the use of Automated Spatial Demand Allocation (ASDA) GIStools for water demand allocation and pump performance reviews using thermometric pumptesting.The project included: selection of hydraulic modeling software; development of a water demandforecasting and conservation model; forecasting demands to the year 2031; hydraulic modeldevelopment; continuous flow/pressure monitoring; supervisory control and data acquisition (SCADA) acquisition; model calibration andoptimization of infrastructure requirements using the GA techniques. The hydraulic model will bean integral tool for the City and Region to conduct further applications in operations, energymanagement and water quality modeling.The optimization process summarized existing infrastructure expandability, alternativeinfrastructure locations and water supply source options. GA model simulations identifiedoptimal system expansion strategies.The result is a true picture of the joint capabilities of the Toronto and York systems and efficient longterm planning opportunities for both the City of Toronto (with its older established infrastructure)and the Region of York (with its newer infrastructure and rapidly expanding consumer base) tomeet the combined needs of their consumers in a cost effective and efficient manner. Includes 4 references, figures.

Product Details

Edition:

Vol. - No.

Published:

06/15/2003

Number of Pages:

14

File Size:

1 file , 1.3 MB