Comparison of Pumping Regimes for Water Distribution Systems to Minimize Cost and Greenhouse Gases
Publication: Journal of Water Resources Planning and Management
Volume 142, Issue 6
Abstract
A single-objective optimization model has been developed for water distribution system (WDS) pumping operations, considering five different types of pump operating regimes. These regimes use tank trigger levels, scheduling, and a combination of both to control pumps. A new toolkit development to alter rule-based controls in hydraulic simulation software has allowed more complex pump operating regimes than have previously been considered to be optimized. The performance of each of the regimes is compared with respect to two different objectives: cost and greenhouse gas (GHG) emissions, which were optimized separately to allow the comparison of regimes to be made more clearly. Two case study networks, including one that represents a segment of the South Australian WDS, illustrate the effectiveness of the model. Time-based scheduling operating strategies were found to perform better than the other types of pump operating regimes. Significant cost savings were achieved for the South Australian case study network compared with its current operation.
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Acknowledgments
The support of the Commonwealth of Australia through the Cooperative Research Centre (CRC) program is acknowledged. This research was part of the CRC for Water Sensitive Cities Project C5.1 (Intelligent Urban Water Networks) and was supported by funding for postdoctoral research and a Ph.D. top-up scholarship. The authors would like to thank X. J. Wang at SA Water for providing information to allow the model to be applied to a real-life network.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 142 • Issue 6 • June 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: May 28, 2015
Accepted: Nov 4, 2015
Published online: Jan 27, 2016
Published in print: Jun 1, 2016
Discussion open until: Jun 27, 2016
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