Control and Decision Strategies in Wastewater Treatment Plants for Operation Improvement

This book examines the operation of biological wastewater treatment plants (WWTPs), with a focus on maintaining effluent water quality while keeping operational costs within constrained limits. It includes control operation and decision schemes and is based on the use of benchmarking scenarios that...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Santín, Ignacio (Συγγραφέας), Pedret, Carles (Συγγραφέας), Vilanova, Ramón (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:Intelligent Systems, Control and Automation: Science and Engineering, 86
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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020 |a 9783319463674  |9 978-3-319-46367-4 
024 7 |a 10.1007/978-3-319-46367-4  |2 doi 
040 |d GrThAP 
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072 7 |a TJFM  |2 bicssc 
072 7 |a TEC004000  |2 bisacsh 
082 0 4 |a 629.8  |2 23 
100 1 |a Santín, Ignacio.  |e author. 
245 1 0 |a Control and Decision Strategies in Wastewater Treatment Plants for Operation Improvement  |h [electronic resource] /  |c by Ignacio Santín, Carles Pedret, Ramón Vilanova. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a XII, 124 p. 70 illus., 57 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Intelligent Systems, Control and Automation: Science and Engineering,  |x 2213-8986 ;  |v 86 
505 0 |a 1 Introduction -- 2 Process modelling and simulation scenarios -- 3 Control approaches -- 4 Tracking improvement of the basic lower level loops -- 5 Variable dissolved oxygen set-points operation -- 6 Denitrification and nitrification processes improvement for avoiding -- 7 Effluent predictions for violations risk detection -- 8 Advanced decision control system -- 9 Conclusions. 
520 |a This book examines the operation of biological wastewater treatment plants (WWTPs), with a focus on maintaining effluent water quality while keeping operational costs within constrained limits. It includes control operation and decision schemes and is based on the use of benchmarking scenarios that yield easily reproducible results that readers can implement for their own solutions. The final criterion is the effect of the applied control strategy on plant performance – specifically, improving effluent quality, reducing costs and avoiding violations of established effluent limits. The evaluation of the different control strategies is achieved with the help of two Benchmark Simulation Models (BSM1, BSM2). Given the complexity of the biological and biochemical processes involved and the major fluctuations in the influent flow rate, controlling WWTPs poses a serious challenge. Further, the importance of control goal formulation and control structure design in relation to WWTP process control is widely recognized. Of particular interest are the regulations governing the compliance with effluent criteria. Authorities measure compliance with these criteria on the basis of long or short timeframes, and the legal constraints imposed on effluent pollutant concentrations are among the most essential aspects of control structures for WWTPs. This book explores all these facets in detail. 
650 0 |a Engineering. 
650 0 |a Water-supply. 
650 0 |a Control engineering. 
650 0 |a Waste management. 
650 1 4 |a Engineering. 
650 2 4 |a Control. 
650 2 4 |a Water Industry/Water Technologies. 
650 2 4 |a Waste Management/Waste Technology. 
700 1 |a Pedret, Carles.  |e author. 
700 1 |a Vilanova, Ramón.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319463667 
830 0 |a Intelligent Systems, Control and Automation: Science and Engineering,  |x 2213-8986 ;  |v 86 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-46367-4  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)