Optimization of Integrated Urban Wet-Weather Control Strategies
Publication: Journal of Water Resources Planning and Management
Volume 131, Issue 4
Abstract
An optimization method for urban wet-weather control (WWC) strategies is presented. The developed optimization model can be used to determine the most cost-effective strategies for the combination of centralized storage-release systems and distributed on-site WWC alternatives. The two major components of the model are an objective function that evaluates the cost of a given option and a process simulator that describes the production function. The data for developing the production function are generated by running process simulation models that provide estimates of performance for specified values of the inputs. In earlier research, a prespecified number of simulations were run and then an analytical function was fitted to the database. Typically, the fitted function did not approximate the data well, and manual graphical procedures or numerical analysis software had to be used to approximate the response surface. This paper presents a much improved version of this approach wherein an optimizer is used to direct the simulation process toward the optimal solution. Even more important, the results can be extended from three-dimensional problems to -dimensional problems.
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Acknowledgments
The writers gratefully acknowledge the financial support of this study provided by the U.S. Environment Protection Agency, Edison, N.J., and the National Cooperative Highway Research Program (NCHRP). Any opinions expressed in this paper are those of the authors and do not necessarily reflect the official positions and policies of the USEPA. Any mention of products or trade names does not constitute recommendation for use by the USEPA.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 131 • Issue 4 • July 2005
Pages: 307 - 315
Copyright
© 2005 ASCE.
History
Received: Jan 5, 2004
Accepted: May 14, 2004
Published online: Jul 1, 2005
Published in print: Jul 2005
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