
Research Article
Performance Assessment of a Piezoelectric Footstep Energy Harvesting System for Sustainable Power Generation
@INPROCEEDINGS{10.4108/eai.1-5-2025.2361479, author={Aaron Saju and Akram Al Esry and Joude Al Babele and Mohammed Nabil Uddin and Muneer Al Sawaei}, title={Performance Assessment of a Piezoelectric Footstep Energy Harvesting System for Sustainable Power Generation}, proceedings={Proceedings of the 7th MEC Student Research Conference on Artificial Intelligence and Cyber Security, MECSRC 2025, 01 May 2025, Muscat, Oman}, publisher={EAI}, proceedings_a={MECSRC}, year={2026}, month={3}, keywords={piezoelectric generator energy harvesting footstep power sustainable energy pzt pvdf power electronics}, doi={10.4108/eai.1-5-2025.2361479} }- Aaron Saju
Akram Al Esry
Joude Al Babele
Mohammed Nabil Uddin
Muneer Al Sawaei
Year: 2026
Performance Assessment of a Piezoelectric Footstep Energy Harvesting System for Sustainable Power Generation
MECSRC
EAI
DOI: 10.4108/eai.1-5-2025.2361479
Abstract
This paper presents the design, modelling, and experimental evaluation of a piezoelectric footstep energy harvesting system intended to generate low-voltage electrical power from human motion. The study examines the use of piezoelectric transducers arranged within a mechanical platform to convert mechanical stress into electrical output suitable for small-scale applications. A comprehensive literature review was conducted to evaluate piezoelectric materials, energy management circuits, and hybrid harvesting solutions. The methodology integrates theoretical calculations, rectification circuitry, load testing, and prototype development. Experimental results confirmed that the system can generate measurable AC voltage peaks during footstep loading and deliver regulated DC power after rectification. The findings demonstrate the feasibility of piezoelectric harvesting for lighting, sensor powering, and low-energy IoT applications, supporting sustainable and decentralized energy solutions for pedestrian-dense environments.


