Sewer Network Multi-objective Optimization using Genetic Algorithms

Iulian Vasiliev; Laurențiu Luca; Marian Barbu; Ramon Vilanova; Sergiu Caraman

doi:10.52846/stccj.2023.3.1.49

Authors

Iulian Vasiliev Dunărea de Jos University of Galati
Laurențiu Luca Dunărea de Jos University of Galati
Marian Barbu Dunărea de Jos University of Galati
Ramon Vilanova Autonomous University of Barcelona
Sergiu Caraman Dunărea de Jos University of Galati

DOI:

https://doi.org/10.52846/stccj.2023.3.1.49

Keywords:

wastewater, sewer network, multi-objective optimization, controlled elitist genetic algorithm

Abstract

This paper focuses on the multi-objective optimization of a sewer network that serves a medium-sized Romanian city, with a population of 250,000 residents. The sewer network is modeled using BSMSewer software package. The obtained results are based on numerical simulations with the optimization algorithm considering two performance criteria: the volume of overflow and the quality of the overflowed wastewater. For optimization, two approaches that use a controlled elitist genetic algorithm were employed: a multi-objective optimization and a two-steps multi-objective optimization. Results analysis involved comparing them with a scenario where each performance criterion was separately minimized. Additionally, a comparison was made to the situation where the sewer network operated without a control system, meaning the valves were fully open and the pumps were running at maximum capacity.

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