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Type: Journal article
Title: Optimal operation of complex water distribution systems using metamodels
Author: Broad, D.
Maier, H.
Dandy, G.
Citation: Journal of Water Resources Planning and Management, 2010; 136(4):433-443
Publisher: ASCE-Amer Soc Civil Engineers
Issue Date: 2010
ISSN: 0733-9496
Statement of
D. R. Broad, H. R. Maier and G. C. Dandy
Abstract: Optimization of large and hydraulically complex water distribution systems (WDSs) is computationally expensive as simulation models are required to evaluate the performance of solutions to the problem at hand. Metamodels can act as a surrogate or substitute for these simulation models and provide significant speed-ups in the optimization process. The application of metamodels in the field of WDS optimization has been limited to date, and little guidance has been given in terms of constructing metamodels for hydraulically complex systems. While it is relatively straightforward to obtain satisfactory metamodel approximations to simulation models of simple WDSs, this is not necessarily the case for more complex networks. In order to reduce the complexity of the relationship that is to be approximated by the metamodels, a number of factors have to be considered, including the complexity of the hydraulic simulation model, the complexity of the decision space, and the locations at which outputs are required from the hydraulic simulation model. This research presents a systematic methodology for dealing with these factors and demonstrates the effectiveness of the approach by applying it to an actual WDS. A system in Wallan, Victoria, Australia, is selected for demonstration purposes. Four different metamodelling scenarios are presented here. The results show that, for this case study, some skeletonization of the model is required to achieve suitably accurate metamodels. The optimization results show a reduction in the average daily pumping costs from $457 to $363; a saving of 21%. The net present value (NPV) over 25 years is used as the objective function, which includes both pumping and chlorine costs. The current operating regime corresponds to an NPV of $1.56 million, while the optimized solution has an NPV of $1.34 million; a saving of 14%. In addition to these economic benefits, the optimized solution achieves adequate disinfection throughout the system, whereas the current operating regime results in deficits in chlorine residuals at several locations in the system. © 2010 ASCE.
Keywords: Optimization
water distribution
evolutionary computation
neural networks
water quality
Rights: © 2010 ASCE
DOI: 10.1061/(ASCE)WR.1943-5452.0000052
Appears in Collections:Aurora harvest 5
Civil and Environmental Engineering publications
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