Coordinated Decentralization-Based Optimization of Disinfectant Dosing in Large-Scale Water Distribution Networks
Publication: Journal of Water Resources Planning and Management
Volume 144, Issue 10
Abstract
Disinfectants are typically used in water distribution networks (WDNs) to maintain the microbiological quality of potable water throughout the network. Disinfectant residual levels in such large distribution networks need to be maintained within the prescribed bounds to address two major problems: (1) preventing microbial regrowth, and (2) minimizing harmful disinfection by-product (DBP) formation resulting from high levels of the disinfectant itself. These requirements pose a two-point constrained control problem of disinfectant residual levels. Another important aspect of consideration is that such WDNs exhibit spatial and temporal variations in water quality at different points in the network. Therefore, conventional systems engineering tools such as modeling, optimization, and control need to be adapted to accommodate these variations for water quality management in distribution networks. In this paper, we propose a novel zone control based approach to address the two-point quality control problem. Further, to combat the spatial complexity, we combine the zone control approach with a decentralized optimization strategy, namely, the model coordination method, which has been widely proposed to solve large-scale optimization problems. The resulting novel formulation is proposed here to address the aforementioned problems in operational optimization of booster chlorination water distribution systems by using a realistic multispecies model developed from a previous study. We demonstrate the efficacy of this approach on a real-scale distribution network of Cherry Hill Brushy Plains (CH/BP) (EPANET Example network 2).
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Acknowledgments
The authors thank the Ministry of Human Resources Development, Government of India, for funding for the first author. Partial support from MAGEEP and the Lopata Endowment at Washington University in St. Louis is gratefully acknowledged.
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Published In
Journal of Water Resources Planning and Management
Volume 144 • Issue 10 • October 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Sep 27, 2017
Accepted: Apr 16, 2018
Published online: Jul 24, 2018
Published in print: Oct 1, 2018
Discussion open until: Dec 24, 2018
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