Sewer Network Model of a City with a Medium-Sized Population

Vasiliev, Iulian; Luca, Laurențiu; Barbu, Marián; Vilanova, Ramón; Caraman, Sergiu

doi:10.1109/iccc54292.2022.9805864

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…The mathematical model was previously developed in (Vasiliev et al., 2022d), being implemented in BSMsewer Software Package (Saagi et al., 2016). The same model has been used in (Vasiliev et al., 2022c) for developing a series of control strategies aiming to optimize the SN operation.…”

Section: Methodsmentioning

confidence: 99%

Reducing the Environmental Impact of Sewer Network Overflows Using Model Predictive Control Strategy

Vasiliev,

Luca,

Barbu

et al. 2024

Water Resources Research

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This paper proposes a method for reducing the environmental impact of sewer network (SN) overflows. The main objective of the paper is to minimize the wastewater quantity and the pollutant loads that overflow from the SN. The proposed algorithm to achieve this goal is Model Predictive Control using Particle Swarm Optimization as optimization method. It was tested in simulation using a simplified model of the network based on Benchmark Simulation Modelsewer as prediction model, and a forecasted influent. Three cases have been considered: (a) the fitness function is defined as the global yearly overflow volume calculated using equal weights for each tank; (b) the fitness function uses different weights for each tank depending on the medium loads and (c) integrating a penalty term related to the system state at the end of the prediction horizon in the previous fitness function. The simplified model determined a significant reduction of the integration time minimizing the optimization time.

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Section: Methodsmentioning

confidence: 99%

Reducing the Environmental Impact of Sewer Network Overflows Using Model Predictive Control Strategy

Vasiliev,

Luca,

Barbu

et al. 2024

Water Resources Research

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“…As stated above, a sewer network serving a medium-sized city with a population of 250,000 inhabitants was considered as a case study. The structure of this network is presented in detail in [29]. It contains 7 tanks, as shown in Figure 1, noted as TK i , i = 1...7.…”

Section: Structure and Characteristics Of The Sewer Networkmentioning

confidence: 99%

“…This case was considered in [29]. No control system was taken into account; therefore, all valves at the tank outputs were considered to be fully opened, while all of the pumps were running at 100% as long as the wastewater level in the tank was over 0.5 m. The simulation results are presented in Table 6.…”

Section: Operation Of the Sewer Network With Constant Controls At Max...mentioning

confidence: 99%

Optimal Control Strategy of a Sewer Network

Vasiliev

Luca

Barbu

et al. 2022

Water

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This paper proposes a series of methods to increase the efficiency of the operating of a sewer network that serves a medium-sized city with a population of 250,000 inhabitants. The sewer network serves five areas of the city and consists of seven tanks that communicate with one another and with the treatment plant through pipes. The controls are applied to the process by valves and pumps. The main objective of this paper is to determine the optimal controls to minimize two performance criteria: volume of overflow, and overflow quality index. The sewer network was modeled in the BSMSewer environment. The optimization of the operating of the sewer network was carried out in the conditions of an influent computed in relation to the number of inhabitants and to the area served, using genetic algorithms as a method of optimization. Five optimization strategies were analyzed by numerical simulation. The analysis of the five strategies was done by comparison of their results with one another, as well as in relation to the case where all of the controls were set at maximum values of 100%. The simulations showed that the third strategy produced the best results in relation to each of the two criteria.

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