Impact of Water-Quality Conditions in Source Reservoirs on the Optimal Operation of a Regional Multiquality Water-Distribution System
Publication: Journal of Water Resources Planning and Management
Volume 141, Issue 10
Abstract
The impact of water quality conditions in source reservoirs on the optimal operation of a regional multiquality water-distribution system is analyzed. The optimization model concurrently minimizes three operational objectives being pump energy costs, turbidity, and salinity deviations at customer demand nodes from allowed values. The optimization problem is solved using the optimization tool GANetXL incorporating the NSGA-II, linked with the network analysis software EPANet. The example network adapted from the literature captures some of the unique features of the Wimmera Mallee Pipeline in Australia. Six scenarios representing different water quality conditions in source reservoirs are analyzed. It was discovered that two types of trade-offs, competing and noncompeting, exist between the objectives and that the type of trade-off is not unique between a particular pair of objectives for all scenarios. These and other findings may be of particular use to system operators in their long-term operational planning and decision making.
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Acknowledgments
Authors wish to acknowledge Josef Bicik, Honorary University Fellow, College of Engineering, Mathematics and Physical Sciences, University of Exeter, U.K. for his top quality software support in implementation of two subsequent EPANet water quality analyses within GANetXL. Your virtual support has been invaluable, Josef, and we are extremely grateful to you. Authors wish to acknowledge Grampians Wimmera Mallee Water (GWMWater) corporation for providing water quality data for their main reservoirs. Authors also express their gratitude to two anonymous reviewers for their valuable time and effort in improving the quality of this paper. This work was supported by the Australian Research Council as Project LP0990908.
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Published In
Journal of Water Resources Planning and Management
Volume 141 • Issue 10 • October 2015
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Oct 23, 2014
Accepted: Jan 7, 2015
Published online: Feb 17, 2015
Discussion open until: Jul 17, 2015
Published in print: Oct 1, 2015
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