Optimization of Water Distribution Networks for Combined Hydropower Energy Recovery and Leakage Reduction
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Volume 142, Issue 2
Abstract
Water supply is energy intensive, resulting in large amounts of greenhouse gas emissions and increased electricity bills for water service providers (WSPs). In recent years, the incorporation of microhydropower (MHP) turbines within water supply networks (WSN) has been shown to be a viable option for pressure reduction and improved water supply sustainability. An option for optimal pressure management of a WSN is presented through the installation of MHP turbines. The optimization objective was to find optimal locations in a WSN to install turbines for maximized power generation. For comparison, a nonlinear programming approach, a mixed integer nonlinear programming (MINLP) approach, and an evolutionary optimization approach, using a genetic algorithm, were employed. The performance and suitability of each method was initially demonstrated on a theoretical five-node WSN. MINLP was found to be the most suitable technique. Further analyses were undertaken of a benchmark 25-node network. It was recommended that WSPs adopt this hydropower optimization approach in the decision-making process to reduce carbon footprint, increase revenue, and reduce the operational costs of water supply.
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Acknowledgments
This research was part funded by the European Regional Development Fund (ERDF) through the Ireland–Wales Programme 2007-2013 (INTERREG 4A).
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Journal of Water Resources Planning and Management
Volume 142 • Issue 2 • February 2016
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Nov 3, 2014
Accepted: May 7, 2015
Published online: Jul 16, 2015
Discussion open until: Dec 16, 2015
Published in print: Feb 1, 2016
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