Reference : Modelling and analysis of flow-driven energy harvesting devices and associated reduce... |
Scientific congresses, symposiums and conference proceedings : Unpublished conference | |||
Engineering, computing & technology : Multidisciplinary, general & others | |||
Computational Sciences | |||
http://hdl.handle.net/10993/36019 | |||
Modelling and analysis of flow-driven energy harvesting devices and associated reduced order models | |
English | |
Zilian, Andreas ![]() | |
Baroli, Davide ![]() | |
Jun-2018 | |
Yes | |
Yes | |
International | |
6th European Conference on Computational Mechanics (ECCM 6) | |
11-15 June 2018 | |
[en] Piezoelectric energy harvesting ; Monolithic FSI ; Reduced order models | |
[en] A specific class of energy harvester devices for renewable energy resources allows conversion of ambient fluid flow energy to electrical energy via flow-induced vibrations of a piezo-ceramic composite structure positioned in the flow field. This energy converter technology simultaneously involves the interaction of a composite structure and a surrounding fluid, the electric charge accumulated in the piezo-ceramic material and a controlling electrical circuit.
In order to predict the efficiency and operational properties of such future devices and to increase their robustness and performance, a mathematical and numerical model of the complex physical system is required to allow systematic computational investigation of the involved phenomena and coupling characteristics. The presentation will discuss a monolithic modelling approach that allows simultaneous analysis of the harvester, which involves surface-coupled fluid-structure interaction, volume-coupled electro-mechanics and a controlling energy harvesting circuit. Based on a finite element discretisation of the weighted residual form of the governing equations, time- and frequency-domain analysis enables investigation of different types of structures (plate, shells) subject to exterior/interior flow with varying parameters, and attached electrical circuits with respect to the electrical power output generated. Consequently, options for parametric reduced-order modelling of flow-driven energy harvesters will be discussed. | |
Researchers | |
http://hdl.handle.net/10993/36019 |
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