76e904b26c6c47a009c53de454ef7e1d water_2022v14n7p1062.pdf 285c944508e30f1ae89a3378873569439409c484 water_2022v14n7p1062.pdf ec49152a3971f0e4fcc645706103a59e7aad01e48512f05ce5050b485bdfba4c water_2022v14n7p1062.pdf Title: Optimal Control Strategy of a Sewer Network Subject: 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. Keywords: sewer network; wastewater; control strategy; optimization; genetic algorithm Author: Iulian Vasiliev, Laurentiu Luca, Marian Barbu, Ramon Vilanova and Sergiu Caraman Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Tue Mar 29 08:37:01 2022 CEST ModDate: Tue Mar 29 08:40:25 2022 CEST Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 25 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 6571835 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- SFMQLG+URWPalladioL-Bold Type 1 Custom yes yes no 10 0 SMYGUT+URWPalladioL-Roma Type 1 Custom yes yes no 15 0 ZKHYXU+URWPalladioL-Ital Type 1 Custom yes yes no 19 0 MCBCCI+SourceSansRoman-Regular Type 1C Custom yes yes no 27 0 MCBCCM+SourceSansRoman.613wght Type 1C Custom yes yes no 31 0 MCBCCO+SourceSansRoman-Bold Type 1C Custom yes yes no 35 0 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TrueType WinAnsi yes yes no 1280 0 GBMAKN+Cambria CID TrueType Identity-H yes yes yes 1283 0 BQBOFW+VnURWPalladioL Type 1 Custom yes yes no 1297 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2023-04-18 02:27:56 CEST RepresentationInformation: water_2022v14n7p1062.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2022-03-29 11:12:48 CEST Size: 6571835 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 1467 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@44c8afef Item: Title: Materials and Methods Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7b69c6ba Children: Item: Title: Structure and Characteristics of the Sewer Network Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@46daef40 Item: Title: The Influent of the Sewer Network Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@12f41634 Item: Title: Performance Criteria of a Sewer Network Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@13c27452 Item: Title: Genetic Algorithm Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@262b2c86 Item: Title: Simulation Results Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@371a67ec Children: Item: Title: Operation of the Sewer Network with Constant Controls at Maximum Values (100%) Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@5ed828d Item: Title: Control Strategy #1 Constant Controls Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@50d0686 Children: Item: Title: Volume of Overflow Minimization (Strategy #1) Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7a3d45bd Item: Title: Overflow Quality Index Minimization (Strategy #1) Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1e7c7811 Item: Title: Control Strategy #2 Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@77ec78b9 Children: Item: Title: Volume of Overflow Minimization (Strategy #2) Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1a3869f4 Item: Title: Overflow Quality Index Minimization (Strategy #2) Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@a38d7a3 Item: Title: Control Strategy #3 Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@77f99a05 Children: Item: Title: Volume of Overflow Minimization (Strategy #3) Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@63440df3 Item: Title: Overflow Quality Index Minimization Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@3aeaafa6 Item: Title: Control Strategy #4 Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@76a3e297 Children: Item: Title: Volume of Overflow Minimization Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@4d3167f4 Item: Title: Overflow Quality Index Minimization Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@ed9d034 Item: Title: Control Strategy #5 Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@6121c9d6 Children: Item: Title: Volume of Overflow Minimization Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@87f383f Item: Title: Overflow Quality Index Minimization Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@4eb7f003 Item: Title: Discussion Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@eafc191 Item: Title: Conclusions Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@612fc6eb Item: Title: References Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1060b431 Info: Title: Optimal Control Strategy of a Sewer Network Author: Iulian Vasiliev, Laurentiu Luca, Marian Barbu, Ramon Vilanova and Sergiu Caraman Subject: 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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