Optimization of sewer networks using the mixed-integer linear programming
This paper introduces a method for optimizing sewer networks using the mixed-integer linear programming (MILP) for a given layout. The objective function is defined as the sum of the costs for pipe purchase, pipe-laying, and manhole construction expressed in linear terms and subject to minimum and m...
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| Published in: | Urban water journal Vol. 14; no. 5; pp. 452 - 459 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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Abingdon
Taylor & Francis
28.05.2017
Taylor & Francis Ltd |
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| ISSN: | 1573-062X, 1744-9006 |
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| Abstract | This paper introduces a method for optimizing sewer networks using the mixed-integer linear programming (MILP) for a given layout. The objective function is defined as the sum of the costs for pipe purchase, pipe-laying, and manhole construction expressed in linear terms and subject to minimum and maximum allowable slopes, velocities, and relative depths for both minimum and maximum sewage discharge rates in each pipe. Additionally, provisions are made as constraints or conditions to ensure that a minimum pipe cover is required, that pipe diameters do not decrease in the flow direction, and that pipes maintain a steady elevation at each manhole. All the non-linear constraints are transformed into the linear format. Pipe slope, binary variables accounting for commercial pipe diameters and average implemented depths have also been considered as decision variables. Finally, the performance of the proposed optimization method is evaluated in a benchmark sewer network from the literature. |
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| AbstractList | This paper introduces a method for optimizing sewer networks using the mixed-integer linear programming (MILP) for a given layout. The objective function is defined as the sum of the costs for pipe purchase, pipe-laying, and manhole construction expressed in linear terms and subject to minimum and maximum allowable slopes, velocities, and relative depths for both minimum and maximum sewage discharge rates in each pipe. Additionally, provisions are made as constraints or conditions to ensure that a minimum pipe cover is required, that pipe diameters do not decrease in the flow direction, and that pipes maintain a steady elevation at each manhole. All the non-linear constraints are transformed into the linear format. Pipe slope, binary variables accounting for commercial pipe diameters and average implemented depths have also been considered as decision variables. Finally, the performance of the proposed optimization method is evaluated in a benchmark sewer network from the literature. |
| Author | Safavi, Hamidreza Geranmehr, Mohammad A. |
| Author_xml | – sequence: 1 givenname: Hamidreza surname: Safavi fullname: Safavi, Hamidreza email: hasafavi@cc.iut.ac.ir organization: Department of Civil Engineering, Isfahan University of Technology – sequence: 2 givenname: Mohammad A. surname: Geranmehr fullname: Geranmehr, Mohammad A. organization: Department of Civil Engineering, Isfahan University of Technology |
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| SubjectTerms | Benchmarking Elevation Linear programming mixed integer linear programming Networks Objective function Optimization Pipe Sewage Sewer networks Sewers Slopes |
| Title | Optimization of sewer networks using the mixed-integer linear programming |
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