Accurate modeling of multi-source harvesters present design challenges such as the integration of mixed circuit topologies, passive versus active topologies, impedance matching, and optimization. Commercial modeling and simulation software packages offer solutions but often times are not comprehensive enough. In this work P-Spice, Simulink, and Comsol Multiphysics were used to model a multi-source energy harvesting system that incorporates the energy producing capabilities of the piezoelectric, the pyroelectric, and thermoelectric effect. A systems approach that models the material properties of the converters, the power electronics and storage was implemented. Low frequency experimental data from PZT based harvesters and thermoelectric generators were used to produce lumped parameter models. It was demonstrated that within 12% that combining effects may contribute to continuous energy harvesting operation.
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ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 18–21, 2011
Scottsdale, Arizona, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-5471-6
PROCEEDINGS PAPER
Modeling of Low Frequency Multi-Source Energy Harvesting Systems
Christopher Green,
Christopher Green
Virginia Commonwealth University, Richmond, VA
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Ugur Erturun,
Ugur Erturun
Virginia Commonwealth University, Richmond, VA
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Matthew Burnette,
Matthew Burnette
Virginia Commonwealth University, Richmond, VA
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Karla Mossi
Karla Mossi
Virginia Commonwealth University, Richmond, VA
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Christopher Green
Virginia Commonwealth University, Richmond, VA
Ugur Erturun
Virginia Commonwealth University, Richmond, VA
Matthew Burnette
Virginia Commonwealth University, Richmond, VA
Karla Mossi
Virginia Commonwealth University, Richmond, VA
Paper No:
SMASIS2011-5006, pp. 59-69; 11 pages
Published Online:
February 7, 2012
Citation
Green, C, Erturun, U, Burnette, M, & Mossi, K. "Modeling of Low Frequency Multi-Source Energy Harvesting Systems." Proceedings of the ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, Volume 1. Scottsdale, Arizona, USA. September 18–21, 2011. pp. 59-69. ASME. https://doi.org/10.1115/SMASIS2011-5006
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