Optimal energy management and emissions reduction for hybrid marine propulsion plant using reinforcement learning

Οικονόμου, Κυριάκος; Oikonomou, Kyriakos

dc.contributor.author	Οικονόμου, Κυριάκος	el
dc.contributor.author	Oikonomou, Kyriakos	en
dc.date.accessioned	2024-01-24T11:25:46Z
dc.date.available	2024-01-24T11:25:46Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/58652
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.26348
dc.rights	Αναφορά Δημιουργού - Παρόμοια Διανομή 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-sa/3.0/gr/	*
dc.subject	Reinforcement Learning	en
dc.subject	Machine Learning	en
dc.title	Optimal energy management and emissions reduction for hybrid marine propulsion plant using reinforcement learning	en
heal.type	bachelorThesis
heal.classification	Optimal Control	en
heal.classification	Machine Learning	en
heal.classification	Reinforcement Learning	en
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2022-11-03
heal.abstract	In the following thesis , the optimal control problem concerning the optimal power split between the power sources of the Hybrid Diesel-Electric Propulsion Plant (HIPPO-2) established on the Laboratory of Marine Engineering (LME) is tackled with the use of Reinforcement Learning methodologies . This optimization problem relies on the development of a energy management and emissions minimization system and its control via the Policy Gradient methodologies provided by the field of Reinforcement Learning . The implementation of the Reinforcement Learning methodologies were enabled by the utilization of Julia Programming language which is a nascent programming language discerned for its higher level-simple syntax and its noteworthy speed close to that of lower level languages such as C/C++ . The goal is to replicate the EMEMS system , achieve its real time control via a Reinforcement Learning agent and compare the results to more renowned control schemes such as the Model Predictive Control (MPC).	el
heal.advisorName	Παπαλάμπρου, Γεώργιος	el
heal.committeeMemberName	Τσούβαλης, Νικόλαος	el
heal.committeeMemberName	Παπαδόπουλος, Χρήστος	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ναυπηγών Μηχανολόγων Μηχανικών. Τομέας Ναυτικής Μηχανολογίας. Εργαστήριο Ναυτικής Μηχανολογίας	el
heal.academicPublisherID	ntua
heal.numberOfPages	90 σ.	el
heal.fullTextAvailability	false