دورية أكاديمية

Optimal Control Strategy of a Sewer Network

التفاصيل البيبلوغرافية
العنوان: Optimal Control Strategy of a Sewer Network
المؤلفون: Iulian Vasiliev, Laurentiu Luca, Marian Barbu, Ramon Vilanova, Sergiu Caraman
المصدر: Water, Vol 14, Iss 7, p 1062 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Hydraulic engineering
LCC:Water supply for domestic and industrial purposes
مصطلحات موضوعية: sewer network, wastewater, control strategy, optimization, genetic algorithm, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2073-4441
Relation: https://www.mdpi.com/2073-4441/14/7/1062; https://doaj.org/toc/2073-4441
DOI: 10.3390/w14071062
URL الوصول: https://doaj.org/article/28cb134043ee4820b14b8f9b755b9c36
رقم الأكسشن: edsdoj.28cb134043ee4820b14b8f9b755b9c36
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20734441
DOI:10.3390/w14071062