Automated Pump Placement Algorithms for Optimal Sewer Network Design in Areas with Complex Terrain

We present a set of algorithms for automatically determining the best locations for lift stations and pressurized pipes in sewer networks. These algorithms are integrated into an optimization framework for automatic sewer network planning. The algorithms are developed based on graph theory and metaheuristic optimization to optimize the allocation of lift stations and pressure pipes. The proposed algorithms are applied to a real large-scale test case in Paranatinga, Brazil, and the results are compared with an existing design. This comparison highlights the algorithms’ effectiveness in designing cost-efficient sewer networks in areas with complex terrain.

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Publication Details

Published
2024-09-12
DOI
https://doi.org/10.3390/engproc2024069143
Primary Topic
Water Systems and Optimization
Type
article
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article

Automated Pump Placement Algorithms for Optimal Sewer Network Design in Areas with Complex Terrain

Ulrich Dittmer, Amin E. Bakhshipour, Timo C. Dilly, Ralf Habermehl et al.
Water Systems and Optimization
article

Automated Pump Placement Algorithms for Optimal Sewer Network Design in Areas with Complex Terrain

Ulrich Dittmer, Amin E. Bakhshipour, Timo C. Dilly, Ralf Habermehl, Ali Haghighi
article en

Abstract

We present a set of algorithms for automatically determining the best locations for lift stations and pressurized pipes in sewer networks. These algorithms are integrated into an optimization framework for automatic sewer network planning. The algorithms are developed based on graph theory and metaheuristic optimization to optimize the allocation of lift stations and pressure pipes. The proposed algorithms are applied to a real large-scale test case in Paranatinga, Brazil, and the results are compared with an existing design. This comparison highlights the algorithms’ effectiveness in designing cost-efficient sewer networks in areas with complex terrain.

University of Kaiserslautern (DE), Shahid Chamran University of Ahvaz (IR), Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
Openalex Percentile: Top 82%
Water Systems and Optimization
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