Development of an identification and predictive control framework for wastewater treatment plants using a reduced-order model

Πρωτούλης, Θεόδωρος; Protoulis, Theodoros

dc.contributor.author	Πρωτούλης, Θεόδωρος	el
dc.contributor.author	Protoulis, Theodoros	en
dc.date.accessioned	2024-04-15T11:02:54Z
dc.date.available	2024-04-15T11:02:54Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/59192
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.26888
dc.description	Εθνικό Μετσόβιο Πολυτεχνείο--Μεταπτυχιακή Εργασία. Διεπιστημονικό-Διατμηματικό Πρόγραμμα Μεταπτυχιακών Σπουδών (Δ.Π.Μ.Σ.) “Συστήματα Αυτοματισμού”	el
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/gr/	*
dc.subject	Εγκαταστάσεις επεξεργασίας λυμάτων	el
dc.subject	Εξοικονόμηση ενέργειας	el
dc.subject	Ευφυία σμήνους	el
dc.subject	Προβλεπτικός έλεγχος	el
dc.subject	Wastewater treatment plants	en
dc.subject	Energy efficiency	en
dc.subject	Particle swarm optimization	en
dc.subject	Model predictive control	en
dc.title	Development of an identification and predictive control framework for wastewater treatment plants using a reduced-order model	en
heal.type	masterThesis
heal.secondaryTitle	Ανάπτυξη μεθοδολογίας αναγνώρισης και προβλεπτικού ελέγχου εγκαταστάσεων επεξεργασίας λυμάτων με χρήση μοντέλου μειωμένης τάξης	el
heal.classification	Συστήματα αυτόματου ελέγχου	el
heal.classification	Αυτόματη ρύθμιση διεργασιών	el
heal.classification	Προβλεπτικός έλεγχος	el
heal.classification	Αναγνώριση δυναμικών συτημάτων	el
heal.classification	Control systems	en
heal.classification	Model predictive control	en
heal.classification	Process control	en
heal.classification	Τεχνικές βελτιστοποίησης	el
heal.classification	System identification	en
heal.classification	Optimization techniques	en
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2023-10-30
heal.abstract	Wastewater treatment plants are a major part of local communities, since they are responsible of purifying the contaminated water coming from the urban area and of safely returning it back to the water cycle. Their inherent nonlinear dynamic behavior is influenced by numerous factors including the large fluctuations of the wastewater entering the facility and the highly complex biological and biochemical phenomena occurring as the wastewater is being processed by the reactive units of the plant. Consequently, WWTPs are forced to operate for long periods of time under the influence of uncertain disturbances, leading to potential unacceptable violations of the environmental regulations regarding the effluent quality. In order to deal with the aforementioned factors, the energy demands in WWTPs are significantly escalated, thus leading to increased operational costs. Therefore, advanced closed-loop control methodologies have to be developed, capable of considering the numerous parameters affecting the optimal operation of WWTPs, aimed to optimize their performance regarding the effluent quality, energy consumption and total operational costs. Developing automatic control schemes for such complex plants, though, is a challenging procedure, due to the fact that the mathematical models describing their dynamic behavior are complex and consequently, cannot be used for control design purposes. As a result, the complexity of these models necessitates the need of deriving reduced-order models that are capable of simulating the dynamic behavior of the plant precisely, while also being simple enough for integration in closed-loop control configurations. To this end, in this work a complete modelling and control framework for WWTPs is proposed. A model of lower complexity compared to those proposed in the literature is derived, followed by the formulation of an identification scheme for estimating the values of the numerous coefficients included in its differential equations. The identified reduced-order model is then integrated in predictive control schemes aimed to optimize the performance of WWTPs during full-scale operation. In particular, a nonlinear tracking model predictive control configuration is, firstly, developed for the purpose of maintaining the plant at a specific steady state operating point. However, to achieve this goal, the controller may resort to unnecessary high energy demands since it seeks to drive specific states of the system to predetermined setpoints, regardless of the magnitude of the disturbances affecting the plant operation. To deal with this situation, an economic-oriented nonlinear model predictive control scheme is proposed aimed to optimize the energy efficiency and total operational costs of the plant. In contrast to the tracking formulation, the latter approach seeks to maintain the operating region of the plant within specified limits, hence leading to reduced energy demands. Finally, to validate the superiority of employing the presented modelling and control framework, comparison results against alternative control methodologies are presented.	en
heal.advisorName	Σαρίμβεης, Χαράλαμπος	el
heal.committeeMemberName	Σαρίμβεης, Χαράλαμπος	el
heal.committeeMemberName	Αλεξανδρίδης, Αλέξανδρος	el
heal.committeeMemberName	Δογάνης, Φίλιππος	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Μηχανολόγων Μηχανικών	el
heal.academicPublisherID	ntua
heal.numberOfPages	79 σ.	el
heal.fullTextAvailability	false