Sensor Placement in Water Networks: A Stochastic Programming Approach
Publication: Journal of Water Resources Planning and Management
Volume 132, Issue 3
Abstract
Placement of sensors in water distribution networks helps timely detection of contamination and reduces risk to the population. Identifying the optimal locations of these sensors is important from an economic perspective and has been previously attempted using the theory of optimization. This work extends that formulation by considering uncertainty in the network and describes a stochastic programming method that is capable of determining the optimal sensor location while accounting for demand uncertainties. The problem is formulated as a two stage stochastic programming problem with recourse. The solution to the problem is achieved by using a newly proposed algorithm aimed at efficiently solving stochastic nonlinear programming problems. This makes the problem solution computationally tractable as compared to the traditional stochastic programming methods. The proposed formulation and solution methodology are tested on an example network to perform a comparative study with other formulations. The results show the importance of uncertainty consideration in decision making and highlight the advantages of the proposed stochastic programming approach.
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Acknowledgment
This work is funded by the National Science Foundation under Grant No. NSFCTS-0406154.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 132 • Issue 3 • May 2006
Pages: 192 - 203
Copyright
© 2006 ASCE.
History
Received: Aug 30, 2004
Accepted: Nov 14, 2005
Published online: May 1, 2006
Published in print: May 2006
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