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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/AAD9E40F-FCFA-4DA2-B745-D9535EDA4FF1 | - |
| Identifier | https://doi.org/10.26233/heallink.tuc.24441 | - |
| Language | en | - |
| Extent | 91 pages | en |
| Extent | 5.787 Kilobytes | en |
| Title | Design optimization of an electric energy production system for power supplying the nodes of wireless sensor networks | en |
| Creator | Mandourarakis Ioannis | en |
| Creator | Μανδουραρακης Ιωαννης | el |
| Contributor [Thesis Supervisor] | Koutroulis Eftychios | en |
| Contributor [Thesis Supervisor] | Κουτρουλης Ευτυχιος | el |
| Contributor [Committee Member] | Kalaitzakis Kostas | en |
| Contributor [Committee Member] | Καλαϊτζακης Κωστας | el |
| Contributor [Committee Member] | Stavrakakis Georgios | en |
| Contributor [Committee Member] | Σταυρακακης Γεωργιος | el |
| Publisher | Technical University of Crete | en |
| Publisher | Πολυτεχνείο Κρήτης | el |
| Academic Unit | Technical University of Crete::School of Electronic and Computer Engineering | en |
| Academic Unit | Πολυτεχνείο Κρήτης::Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών | el |
| Description | The current study was uploaded to the Institutional Repository of the Technical University of Crete to meet the needs of an assignment given by the School of Electronics and Computer Engineering (of TUC) for acquiring an MSc degree. This work was supported by the SYN11-6-925 AquaNet project which is executed within the framework of the “Cooperation 2011” program of the Greek General Secretariat for Research & Technology (GSRT), funded through European Union and national funds. | en |
| Content Summary | The widespread utilization of the Wireless Sensor Networks (WSNs) that are power supplied by Renewable Energy Sources (RES) is now leading scientific research towards the development of innovative sizing optimization techniques and configurations that aim in the service of multi-criteria objectives of economical and/or technical nature. The most frequently used ones have to do with the minimization of the overall cost and the maximization of the overall system efficiency, in terms of energy redundancy and operational reliability. Sizing optimization techniques are being introduced, where there is a tradeoff amongst similar to the aforementioned criteria that often contradict to each other (e.g. reliability is improved when economical cost or energy redundancy are increased). In this thesis, two complementary design optimization methods (a circuit level and a system level study) are presented for deriving the optimal configuration of the RES based energy production system of a WSN node, such that its total lifetime cost is minimized, while simultaneously guaranteeing that the data acquisition equipment is uninterruptedly power supplied during the entire year. The experimental results verify that, by applying the design variables as they were derived by the proposed optimization techniques at both the circuit and the system level, RES-based power-supply structures with a lower lifetime cost and higher power-processing efficiency are derived, compared to the non-optimally designed configurations. The design optimization and experimental results indicate that by using the proposed techniques, the total cost of the RES-based power supply system is reduced by 15.7 % and the DC DC converter efficiency is increased by 5.5 % compared to the corresponding results obtained by non-optimized power-supply structures. | en |
| Type of Item | Μεταπτυχιακή Διατριβή | el |
| Type of Item | Master Thesis | en |
| License | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| Date of Item | 2015-03-11 | - |
| Date of Publication | 2015 | - |
| Subject | LCOE | en |
| Subject | Alternate energy sources | en |
| Subject | Alternative energy sources | en |
| Subject | Energy sources, Renewable | en |
| Subject | Renewable energy resources | en |
| Subject | Sustainable energy sources | en |
| Subject | renewable energy sources | en |
| Subject | alternate energy sources | en |
| Subject | alternative energy sources | en |
| Subject | energy sources renewable | en |
| Subject | renewable energy resources | en |
| Subject | sustainable energy sources | en |
| Subject | GAs (Algorithms) | en |
| Subject | Genetic searches (Algorithms) | en |
| Subject | genetic algorithms | en |
| Subject | gas algorithms | en |
| Subject | genetic searches algorithms | en |
| Subject | Power systems, Electric | en |
| Subject | Systems, Electric power | en |
| Subject | electric power systems | en |
| Subject | power systems electric | en |
| Subject | systems electric power | en |
| Subject | Electric power supply | en |
| Subject | Power supply, Electric | en |
| Subject | electric power | en |
| Subject | electric power supply | en |
| Subject | power supply electric | en |
| Subject | Sizing optimization | en |
| Subject | DC-to-DC converters | en |
| Subject | WSNs (Sensor networks) | en |
| Subject | wireless sensor networks | en |
| Subject | wsns sensor networks | en |
| Bibliographic Citation | Ioannis Mandourarakis, "Design optimization of an electric energy production system for power supplying the nodes of wireless sensor networks", Master Thesis, School of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece, 2015 | en |
| Bibliographic Citation | Ιωάννης Μανδουραράκης, "Design optimization of an electric energy production system for power supplying the nodes of wireless sensor networks", Μεταπτυχιακή Διατριβή, Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2015 | el |
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