Paper
10 April 2013 Electromechanical and statistical modeling of turbulence-induced vibration for energy harvesting
Jared D. Hobeck, Daniel J. Inman
Author Affiliations +
Abstract
Preliminary experimental studies have shown that piezoelectric structures excited by turbulent flow can produce significant amounts of useful power. The research presented in this paper could benefit applications such as powering self-sustained sensor networks in small rivers or air flow environments where turbulent fluid flow is a primary source of ambient energy. A novel prototype called piezoelectric grass was designed to be a robust solution for harvesting energy in turbulent fluid flow environments. In this paper, the authors present an experimentally validated theoretical analysis of the piezoelectric grass harvester modeled as a single unimorph cantilever beam exposed to turbulent cross-flow. Lastly, a brief parameter optimization study will be presented. This study will demonstrate how the unimorph harvester design could be modified to achieve maximum power output in a given turbulent fluid flow condition.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jared D. Hobeck and Daniel J. Inman "Electromechanical and statistical modeling of turbulence-induced vibration for energy harvesting", Proc. SPIE 8688, Active and Passive Smart Structures and Integrated Systems 2013, 86881P (10 April 2013); https://doi.org/10.1117/12.2009794
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Energy harvesting

Resistance

Statistical analysis

Composites

Resistors

Statistical modeling

Turbulence

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