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October 3, 2025Modelling—International Open Access Journal of Modelling in Engineering Science3 citationsOpen Access

Performance Comparison of Hybrid and Standalone Piezoelectric Energy Harvesters Under Vortex-Induced Vibrations

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IBIssam BahadurHOHassen M. OuakadEBEl Manaa Barhoumi

Key Points

  • At high electrical loads, the standalone piezoelectric harvester outperforms the hybrid design.
  • Hybrid harvester shows an 18% increase in peak power output under low electrical loads compared to standalone.
  • Optimal spring stiffness for maximum output in the hybrid harvester is found at 83.56 N/m.
  • Design considerations are crucial as hybrid harvesters may not enhance performance under higher loads.

Abstract

This study investigates the effect of incorporating an electromagnetic harvester inside the bluff body of a 2-DoF hybrid harvester in comparison to a standalone piezoelectric harvester for various external loads. The harvester is excited through a vortex-induced vibration owing to the resultant wake vortices created behind the bluff body. The coupled dynamics of the two harvester components are modeled, and numerical simulations are conducted to evaluate the system’s performance under varying electrical loads. Numerical results show that at high, optimum electrical load, the standalone piezoelectric harvester outperforms the hybrid harvester. Nevertheless, for small electrical loads, the results show that the hybrid harvester outperforms the standalone PZT harvester by up to 18% in peak power output, while reducing the bandwidth by approximately 10% compared to the standalone piezoelectric harvester. Optimal spring stiffness values were identified, with the hybrid harvester achieving its maximum output power at a spring stiffness of 83.56 N/m. These findings underscore the need for careful design considerations, as the hybrid harvester may not achieve enhanced power output and bandwidth under higher electrical loads.

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Cite This Study

Bahadur et al. (2025) studied this question.

synapsesocial.com/papers/68e040f7a99c246f578b3db3https://doi.org/10.3390/modelling6040120
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