Heuristic Optimization Model for the Optimal Layout and Pipe Design of Sewer Systems

Joshua C. Steele, Kurt Mahoney, Omer Karovic and Larry W. Mays ()
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Joshua C. Steele: Arizona State University
Kurt Mahoney: Arizona State University
Omer Karovic: Arizona State University
Larry W. Mays: Arizona State University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2016, vol. 30, issue 5, No 2, 1605-1620

Abstract: Abstract The design of urban stormwater systems and sanitary sewer systems consists of solving two problems: generating a layout of the system and the pipe design which includes the crown elevations, slopes and commercial pipe sizes. A heuristic model for determining the optimal (minimum cost) layout and pipe design of a storm sewer network is presented. The hierarchical procedure combines a sewer layout model formulated as a mixed-integer nonlinear programming (MINLP) problem which is solved using the General Algebraic Modeling System (GAMS) and a simulated annealing optimization procedure for the pipe design of a generated layout was developed in Excel. The GAMS and simulated annealing models are interfaced through linkage of Excel and GAMS. The pipe design model is based upon the simulated annealing method to optimize the crown elevations and diameter of pipe segments in a storm sewer network using layouts generated using GAMS. A sample scenario demonstrates that using these methods may allow for significant costs saving while simultaneously reducing the time typically required to design and compare multiple storm sewer networks.

Keywords: Sewer systems; Optimization; Minimum cost design; Hierarchical modeling; Simulated annealing; Mixed-integer nonlinear programming (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11269-015-1191-8

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