Συντάχθηκε 20-09-2013 09:17
από Balasi Panagiota
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20-09-2013 09:31
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ΠΟΛΥΤΕΧΝΕΙΟ ΚΡΗΤΗΣ
Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών
Πρόγραμμα Προπτυχιακών Σπουδών
ΠΑΡΟΥΣΙΑΣΗ ΔΙΠΛΩΜΑΤΙΚΗΣ ΕΡΓΑΣΙΑΣ
AΛΕΞΑΝΔΡΟΥ ΠΑΡΑΣΚΕΥΑ
με θέμα
Ανάπτυξη Μικροηλεκτρονικού Συστήματος για την Μεγιστοποίηση της Ενέργειας που Παράγεται από Θερμοηλεκτρικές Γεννήτριες
Development of a Microelectronic System for Maximizing the Energy Produced by Thermoelectric Generators
Παρασκευή 20 Σεπτεμβρίου 2013, 13.30 μ μ
Αίθουσα 145Π 58, Κτίριο Επιστημών, Πολυτεχνειούπολη
Εξεταστική Επιτροπή
Επίκουρος Καθηγητής Ευτύχιος Κουτρούλης (επιβλέπων)
Καθηγητής Κωνσταντίνος Καλαϊτζάκης
Καθηγητής Γεώργιος Σταυρακάκης
Abstract
Thermoelectric generators (TEGs) are solid state devices used for energy harvesting
purposes, utilizing the waste heat produced by heat sources. TEG devices are suitable for use
in applications such as powering Wireless Sensor Networks, the electronic systems of
vehicles etc. The present work focuses on the development of a novel microelectronic system
for the maximization of the energy produced by TEG devices, which is based on tracking
their Maximum Power Point (MPP) and reducing the total power consumption of the
corresponding control system. The proposed system is pre-programmed to operate on a
specific MPP locus in order to maximize the power transferred to the system load. The system
consists of a power-conditioning circuit with a closed-loop controller to achieve
load-matching conditions. The system load is a battery bank, which also provides power to
the control system, making the whole system fully autonomous. In order to evaluate the
performance of the developed system, several experiments were performed by employing
various configurations of TEG modules as power sources. The Maximum Power Point
Tracking (MPPT) accuracy of the proposed system is much higher compared to that of
past-proposed MPPT systems for TEGs and higher than 99% in most cases investigated. Also,
the power-consumption of the proposed system is much lower compared to that of other
widely-used MPPT approaches, due to the lower computational complexity of the proposed
MPPT method.
