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Optimizing energy harvesting parameters using response surface methodology.

Poorna Mane1, Karla Mossi, Christopher Green

  • 1Virginia Commonwealth University, Richmond, VA 23284, USA. manepp@vcu.edu

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|May 5, 2009
PubMed
Summary
This summary is machine-generated.

This study optimized piezoelectric energy harvesting by dynamically pressure loading a composite. Optimal conditions yielded high power densities, demonstrating efficient energy conversion for powering systems.

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Area of Science:

  • Materials Science
  • Energy Engineering
  • Physics

Background:

  • Energy harvesting captures and stores wasted energy to power systems.
  • Piezoelectric materials offer unique properties suitable for energy harvesting applications.
  • Dynamic pressure loading of piezoelectric composites is a viable energy harvesting method.

Purpose of the Study:

  • To optimize energy harvesting using piezoelectric diaphragms.
  • To investigate the impact of temperature, pressure, resistance, and frequency on energy harvesting.
  • To model and predict power conversion capabilities under various conditions.

Main Methods:

  • Utilized a pre-stressed piezoelectric composite subjected to dynamic pressure loading.
  • Employed Response Surface Methodology (RSM) for parameter optimization and predictive modeling.
  • Experimentally validated model predictions for optimal parameter ranges.

Main Results:

  • Achieved power densities of approximately 24.27 microW/mm(3) under optimal conditions.
  • Identified optimal operating parameters: 12°C temperature and 240 kPa pressure.
  • RSM models accurately predicted power conversion capabilities.

Conclusions:

  • Optimized piezoelectric diaphragms significantly enhance energy harvesting efficiency.
  • The identified optimal parameters (12°C, 240 kPa) are crucial for maximizing power output.
  • This research provides a predictive framework for efficient piezoelectric energy harvesting systems.