Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών
Μόνιμο URI για αυτήν την κοινότηταhttps://dspace.library.tuc.gr/handle/123456789/2
Μέχρι και τον Ιούνιο του 2016, η Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών ονομαζόταν Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών.
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Πλοήγηση Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών ανά Συγγραφέα "Antonidakis E."
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Δημοσίευση Advanced fuzzy logic controllers design and evaluation for buildings’ occupants thermal–visual comfort and indoor air quality satisfaction(Elsevier, 2001) Kolokotsa Dionysia; Κολοκοτσα Διονυσια; Tsiavos D.; Stavrakakis Georgios; Σταυρακακης Γεωργιος; Kalaitzakis Kostas; Καλαϊτζακης Κωστας; Antonidakis E.The aim of this paper is to present and evaluate control strategies for adjustment and preservation of air quality, thermal and visual comfort for buildings’ occupants while, simultaneously, energy consumption reduction is achieved. Fuzzy PID, fuzzy PD and adaptive fuzzy PD control methods are applied. The inputs to any controller are: the PMV index affecting thermal comfort, the CO2 concentration affecting indoor air quality and the illuminance level affecting visual comfort. The adaptive fuzzy PD controller adapts the inputs and outputs scaling factors and is based on a second order reference model. More specifically, the scaling factors are modified according to a sigmoid type function, in such a way that the measured variable to be as closer as possible to the reference model. The adaptive fuzzy PD controller is compared to a non-adaptive fuzzy PD and to an ON–OFF one. The comparison criteria are the energy required and the controlled variables response. Both, energy consumption and variables responses are improved if the adaptive fuzzy PD type controller is used. The buildings’ response to the control signals has been simulated using MATLAB/SIMULINK.Δημοσίευση Interconnecting smart card system with PLC controller in a local operating network to form a distributed energy management and control system for buildings(Elsevier, 2002) Kolokotsa Dionysia; Κολοκοτσα Διονυσια; Kalaitzakis Kostas; Καλαϊτζακης Κωστας; Antonidakis E.; Stavrakakis Georgios; Σταυρακακης ΓεωργιοςDistributed control and energy management for buildings is a viable solution, ensuring both indoor comfort for the occupants and reduction of energy consumption. The aim of this paper is to present the architecture of a distributed building energy management system that can be installed in new as well as in existing buildings, which are more energy inefficient. The system integrates a smart card unit, acting as a user machine interface, sensors, actuators, interfaces, a PLC controller that incorporates the fuzzy control algorithm, local operating network (LON) modules and devices and an optional PC which monitors the performance of the system. The distributed control architecture is based on the properties of the LON. The complete system is installed and tested in the Laboratory of Electronics of the Technical University of Crete.