4e5396ebd00f1dd3088d8ae121e3ff2c energies_a2021v14n19p6386.pdf a05756f761afe6b0ba9d8d4b9c54e63b6ede2af7 energies_a2021v14n19p6386.pdf 8396464f2b34b4f142d957b1e40877a09a369b07658b22d067b530813261294c energies_a2021v14n19p6386.pdf Title: Design of Feedback Control Strategies in a Plant-Wide Wastewater Treatment Plant for Simultaneous Evaluation of Economics, Energy Usage, and Removal of Nutrients Subject: Simultaneous removal of nitrogen and phosphorous is a recommended practice while treating wastewater. In the present study, control strategies based on proportional-integral (PI), model predictive control (MPC), and fuzzy logic are developed and implemented on a plant-wide wastewater treatment plant. Four combinations of control frameworks are developed in order to reduce the operational cost and improve the effluent quality. As a working platform, a Benchmark simulation model (BSM2-P) is used. A default control framework with PI controllers is used to control nitrate and dissolved oxygen (DO) by manipulating the internal recycle and oxygen mass transfer coefficient (KLa). Hierarchical control topology is proposed in which a lower-level control framework with PI controllers is implemented to DO in the sixth reactor by regulating the KLa of the fifth, sixth, and seventh reactors, and fuzzy and MPC are used at the supervisory level. This supervisory level considers the ammonia in the last aerobic reactor as a feedback signal to alter the DO set-points. PI-fuzzy showed improved effluent quality by 21.1%, total phosphorus removal rate by 33.3% with an increase of operational cost, and a slight increase in the production rates of greenhouse gases. In all the control design frameworks, a trade-off is observed between operational cost and effluent quality. Keywords: supervisory layer; BSM2 model; model predictive control; fuzzy controller; operational cost Author: Abdul Gaffar Sheik, Eagalapati Tejaswini, Murali Mohan Seepana, Seshagiri Rao Ambati, Montse Meneses and Ramon Vilanova Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Sat Oct 9 09:08:07 2021 CEST ModDate: Sat Oct 9 09:33:48 2021 CEST Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 19 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 5655371 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- XPOGHS+URWPalladioL-Ital Type 1 Custom yes yes no 10 0 WNPNRS+URWPalladioL-Bold Type 1 Custom yes yes no 15 0 XAYWYH+URWPalladioL-Roma Type 1 Custom yes yes no 19 0 QDIDFO+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 27 0 MCBCCI+SourceSansRoman-Regular Type 1C Custom yes yes no 49 0 MCBCCM+SourceSansRoman.613wght Type 1C Custom yes yes no 53 0 MCBCCO+SourceSansRoman-Bold Type 1C Custom yes yes no 57 0 SOSTRQ+CMR10 Type 1 Builtin yes yes no 78 0 NMQZDR+CMSY10 Type 1 Builtin yes yes no 82 0 URZWAB+CMEX10 Type 1 Builtin yes yes no 86 0 IOHYDR+EURM10 Type 1 Builtin yes yes no 90 0 AVNYJD+EURB10 Type 1 Builtin yes yes no 97 0 CBFWJX+PazoMath Type 1 Builtin yes yes no 101 0 RLYTRW+CMMI10 Type 1 Builtin yes yes no 105 0 UGKCVE+EURM7 Type 1 Builtin yes yes no 112 0 MTQZPS+VnURWPalladioL Type 1 Custom yes yes no 180 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2023-05-27 03:28:06 CEST RepresentationInformation: energies_a2021v14n19p6386.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2023-03-31 11:58:30 CEST Size: 5655371 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 366 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: Influent Data Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@46daef40 Item: Title: Model Scenario Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@12f41634 Item: Title: Plant-Wide Assessment Criteria Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@13c27452 Children: Item: Title: Effluent Quality Index Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@262b2c86 Item: Title: Operational Cost Index (OCI) Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@371a67ec Item: Title: Control Approaches Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@5ed828d Children: Item: Title: Design of Proportional-Integral (PI) Controller Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@50d0686 Item: Title: Design of Model Predictive Controller (MPC) Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7a3d45bd Item: Title: Design of Fuzzy-Logic Controller (FLC) Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1e7c7811 Item: Title: Results and Discussion Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@77ec78b9 Children: Item: Title: PI Control (2 Loops) Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1a3869f4 Item: Title: PI Control (One Loop) Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@a38d7a3 Item: Title: Ammonia-Based Aeration Control (ABAC) Approach Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@77f99a05 Children: Item: Title: PI-MPC Control Strategy Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@63440df3 Item: Title: PI-Fuzzy Control Strategy Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@3aeaafa6 Item: Title: Comparison of Four Control Design Frameworks on BSM2-P Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@76a3e297 Item: Title: Summary of Previous and Present Studies on BSM2-P Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@4d3167f4 Item: Title: Conclusions Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@ed9d034 Item: Title: References Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@6121c9d6 Info: Title: Design of Feedback Control Strategies in a Plant-Wide Wastewater Treatment Plant for Simultaneous Evaluation of Economics, Energy Usage, and Removal of Nutrients Author: Abdul Gaffar Sheik, Eagalapati Tejaswini, Murali Mohan Seepana, Seshagiri Rao Ambati, Montse Meneses and Ramon Vilanova Subject: Simultaneous removal of nitrogen and phosphorous is a recommended practice while treating wastewater. In the present study, control strategies based on proportional-integral (PI), model predictive control (MPC), and fuzzy logic are developed and implemented on a plant-wide wastewater treatment plant. Four combinations of control frameworks are developed in order to reduce the operational cost and improve the effluent quality. As a working platform, a Benchmark simulation model (BSM2-P) is used. A default control framework with PI controllers is used to control nitrate and dissolved oxygen (DO) by manipulating the internal recycle and oxygen mass transfer coefficient (KLa). Hierarchical control topology is proposed in which a lower-level control framework with PI controllers is implemented to DO in the sixth reactor by regulating the KLa of the fifth, sixth, and seventh reactors, and fuzzy and MPC are used at the supervisory level. This supervisory level considers the ammonia in the last aerobic reactor as a feedback signal to alter the DO set-points. PI-fuzzy showed improved effluent quality by 21.1%, total phosphorus removal rate by 33.3% with an increase of operational cost, and a slight increase in the production rates of greenhouse gases. In all the control design frameworks, a trade-off is observed between operational cost and effluent quality. 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