دورية أكاديمية
Optimal Control Strategy of a Sewer Network
العنوان: | Optimal Control Strategy of a Sewer Network |
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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 |
تدمد: | 20734441 |
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DOI: | 10.3390/w14071062 |