This powerpoint presentation begins by providing a problem statement that includes:
the City of Ottawa required an update to the Water
Distribution System Master Plan in order to
meet level of service expectations over
the planning period (2031) with a cost-effective
system expansion plan. Study objectives were to:
find a least cost system expansion plan that will
meet future demands at adequate pressure,
meet reliability criteria, and
avoid water quality issues;
define system operations strategy;
develop infrastructure phasing plan; and,
develop decision support tool for future updates. The approach involved:
using Genetic Algorithm (GA) technology and a
hydraulic model to test a wide range of system
expansion alternatives;
converging on an optimal solution through an
iterative process involving "GA runs" and "offline"
reliability and water age improvements; and,
results of reliability and water age
improvements impose further constraints on the
GA by reducing number of available capacity
alternatives. Topics covered include: introduction to Genetic Algorithms;
description of optimization model;
City of Ottawa Water Distribution System;
development of alternatives; and,
results.
| Edition : | Vol. - No. |
| File Size : | 1
file
, 2.5 MB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 36 |
| Published : | 06/01/2007 |
