Optimal Control Strategy of a Sewer Network
Vasiliev, Iulian (Dunarea de Jos University of Galati)
Luca, Laurentiu (Dunarea de Jos University of Galati)
Barbu, Marian (Dunarea de Jos University of Galati)
Vilanova i Arbós, Ramon (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Caraman, Sergiu (Dunarea de Jos University of Galati)

Data:	2022
Resum:	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.
Ajuts:	Agencia Estatal de Investigación PID2019-105434RB-C33
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Sewer network ; Wastewater ; Control strategy ; Optimization ; Genetic algorithm
Publicat a:	Water, Vol. 14 Núm. 7 (March 2022) , art. 1062, ISSN 2073-4441

DOI: 10.3390/w14071062

25 p, 6.3 MB

El registre apareix a les col·leccions:
Articles > Articles de recerca
Articles > Articles publicats