Many-Objective Analysis to Optimize Pumping and Releases in Multireservoir Water Supply Network
Publication: Journal of Water Resources Planning and Management
Volume 142, Issue 2
Abstract
This study contributes a many-objective analysis of water supply in the Tarrant Regional Water District (TRWD) in Texas in the United States, in order to demonstrate how multiobjective evolutionary algorithm (MOEA) decision support can be used with sophisticated water infrastructure models in a highly constrained water-planning environment. A detailed representation of TRWD’s network in the river system modeling tool RiverWare (a model actually used by the utility) is coupled with the Borg MOEA to solve a seven-objective problem formulation. Objectives within the formulation include systemwide performance objectives, as well as reliability objectives to balance multiple reservoirs, calculated using two stochastic hydrology scenarios. The results provide valuable information to TRWD that may inform the utility’s approach to optimization and decision making in the future, as well as illuminate the benefits of optimizing systemwide and component-specific objectives to reveal hidden system dynamics.
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Acknowledgments
This research was made possible through the expertise of the Tarrant Regional Water District and their engineering consultants Hydros Consulting, Inc., as well as through the assistance of RiverWare research and development staff employed at the Center for Advanced Decision Support for Water and Environmental Systems.
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Published In
Journal of Water Resources Planning and Management
Volume 142 • Issue 2 • February 2016
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Nov 7, 2014
Accepted: Jun 10, 2015
Published online: Aug 11, 2015
Discussion open until: Jan 11, 2016
Published in print: Feb 1, 2016
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