Work

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

Year: 2024

Type: conference-paper

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.

DOI: 10.3390/engproc2024069143

Authors: Ralf Habermehl, Amin E. Bakhshipour, Timo C. Dilly, Ali Haghighi, Ulrich Dittmer

Institutions: Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, Shahid Chamran University of Ahvaz

Language: English

Topic: Water Systems and Optimization

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Clean water and sanitation, Sustainable cities and communities

Open Access status: gold

OpenAlex ID: W4402601559

FWCI: 1.672

Cites: 4

Cited by: 1

Related to: 10