Μοντελοποίηση σταθερής μονάδας ORC για ανάκτηση απορριπτόμενης θερμότητας σε  σταθερές και δυναμικές συνθήκες

Andritsos, Georgios; Ανδρίτσος, Γεώργιος

dc.contributor.author	Andritsos, Georgios	en
dc.contributor.author	Ανδρίτσος, Γεώργιος	el
dc.date.accessioned	2015-11-26T11:12:17Z
dc.date.available	2015-11-26T11:12:17Z
dc.date.issued	2015-11-26
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/41679
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.11019
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	Θερμοδυναμική	el
dc.subject	Οργανικός Κύκλος Ρανκιν	el
dc.subject	Δυναμική Μοντελοποιήση	el
dc.subject	Ανάκτηση Θερμότητας	el
dc.subject	Thermodynamics	en
dc.subject	Organic Rankine Cycle (ORC)	en
dc.subject	Dynamic Modeling	en
dc.subject	Waste Heat Recovery	en
dc.title	Μοντελοποίηση σταθερής μονάδας ORC για ανάκτηση απορριπτόμενης θερμότητας σε σταθερές και δυναμικές συνθήκες	el
dc.title	Steady-state and dynamic modeling of a stationary Waste Heat Recovery ORC power plant	en
heal.type	bachelorThesis
heal.classification	Θερμοδυναμική	el
heal.language	el
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2015-07-03
heal.abstract	Organic Rankine Cycle (ORC) technology is already playing a major role in the forthcoming energy transition towards sustainability and efficiency. One of the most important advantages of the ORC technology is the fact that it can be applied to various heat sources by using different working fluids. Most of these heat sources show a highly transient character i.e. the exhaust gas in a vehicle, the solar radiation etc. For these applications, advanced control strategies are required for management of ORC power plants for the prevention of emergency situations and to maximize power generation. In order to define implement and test these control strategies, dynamic models of the system must be developed. Firstly the performance of the system is evaluated, through the analysis of 21 steady state points derived from experimental data. Consequently a steady state model is developed and validated. Lastly, a dynamic model of the system is implemented, using different heat exchanger modeling approach. The dynamic models have been developed and parametrized using the ThermoCycle library, and are written using the Modelica language. The aim of this work is to implement a dynamic model as detailed as possible with respect to the real system, together with its control strategy. The system dynamics and the control of the plant have been analyzed, by perturbing the system with a specific signal. Future work related to the development of a set of reference with experimental data that can be used for system validation.	en
heal.advisorName	Καρέλλας, Σωτήριος	el
heal.committeeMemberName	Κακαράς, Εμανουήλ	el
heal.committeeMemberName	Ρακόπουλος, Κωνσταντίνος	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνειο. Σχολή Μηχανολόγων Μηχανικών. Τομέας Θερμότητας	el
heal.academicPublisherID	ntua
heal.fullTextAvailability	true