IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i17p4274-d1464662.html
   My bibliography  Save this article

Multi-Variable Optimization to Enhance the Performance of a Cantilevered Piezoelectric Harvester

Author

Listed:
  • Bashar Alzuwayer

    (Department of Automotive Mechanics and Marine Engineering Technology, College of Technological Studies, PAAET, Kuwait City 70654, Kuwait)

  • Saad F. Almokmesh

    (Department of Mechanical Power and Refrigeration Technology, College of Technological Studies, PAAET, Kuwait City 70654, Kuwait)

  • Abdulwahab Alhashem

    (Department of Mechanical Power and Refrigeration Technology, College of Technological Studies, PAAET, Kuwait City 70654, Kuwait)

  • Talal Alotaibi

    (Department of Mechanical Power and Refrigeration Technology, College of Technological Studies, PAAET, Kuwait City 70654, Kuwait)

Abstract

Over the past decade, various researchers have shown the practicality of extracting electrical energy from vibrating structures. The primary objective of this research was to optimize the parameters of a basic cantilever harvester to maximize the energy production of electricity from surrounding mechanical energy. A distributed parameter model and its modal solution were utilized to determine the design variables via a parametric investigation. It is important to ensure sufficient power generation when there is a wide range of frequencies being excited, without any specific frequency being emphasized. The cost function for the optimization problem was defined as the average power within a specific frequency range, considering geometric and physical restrictions. It was discovered that different parameters’ values can be utilized to generate varying maximum power levels for different frequency ranges. Furthermore, a comparative analysis was performed between the finite element method (FEM) using ANSYS and the current harvesting model. The comparison demonstrated a high level of concordance, enabling the utilization of the finite element method (FEM) for subsequent investigation.

Suggested Citation

  • Bashar Alzuwayer & Saad F. Almokmesh & Abdulwahab Alhashem & Talal Alotaibi, 2024. "Multi-Variable Optimization to Enhance the Performance of a Cantilevered Piezoelectric Harvester," Energies, MDPI, vol. 17(17), pages 1-20, August.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:17:p:4274-:d:1464662
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/17/4274/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/17/4274/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:17:p:4274-:d:1464662. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.