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Projekt Druckansicht

Energiegewinnung für selbstversorgende verteilte Systeme - Untersuchung der Leistungsgewinnung in selbstversorgenden Sensornetzwerken

Antragsteller Dr. Torsten Djurhuus
Fachliche Zuordnung Mikrosysteme
Förderung Förderung von 2012 bis 2014
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 213881804
 
Erstellungsjahr 2015

Zusammenfassung der Projektergebnisse

Energy harvesting systems (EHS) are structures which collect energy from their ambient environment and convert it into electrical energy. The technology is a strong contender for an alternative to batteries in various applications requiring low power. Stochastic resonance energy harvesting systems (SR-EHS) have been proposed on a conceptual level, but the lack of a rigorous theory and numerical analysis tools has hampered the implementation of real-life applications. The goal of the project was to construct a novel generalized theoretical framework (macro-model) describing bi- and multi-stable systems driven by noise. The aim was to develop theoretical and numerical analysis and synthesis tools for the study and design of SR-EHS. A generalized model description of non-linear systems employing stochastic resonance was developed. The framework is unified in the sense that it can be applied to all systems independently of dimensionality, topology or parameter dependence. A comprehensive simulation program was created to test and evaluate the developed theory. The numerical tests verified the model as a correct representation of stochastic resonance in higher dimensional systems. The work detailed herein represents the preliminary steps of a larger effort aimed at the development of a computer-aided-design environment geared towards simulation of noise-driven, non-linear systems. These numerical tools could prove critical for the design and optimization of non-linear energy harvester devices.

Projektbezogene Publikationen (Auswahl)

  • IEEE Transactions on Circuits and Systems I: Regular Papers, ”A Generalized Model of Noise Driven Circuits with Application to Stochastic Resonance”, 2015, vol. 62, issue 8, pp. 1981-1990
    Djurhuus, T. and Krozer, V.
    (Siehe online unter https://doi.org/10.1109/TCSI.2015.2440734)
 
 

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