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Purpose <p>With the growing demand for renewable energy sources, harvesting energy from human footstep-induced vibrations has emerged as a sustainable and innovative approach to power generation.</p> Methods <p> In this study, two mechanical mechanisms for piezoelectric floor tiles were designed to convert mechanical energy from walking into electrical energy: a compression-based mechanism with 2 mm displacement and a spring-based mechanism with 5 mm displacement. Experiments were conducted with four participants ranging in weight from 20 to 90 kg, under two walking speeds and three different foot placement conditions.</p> Results <p>The experimental results indicated that the compression mechanism performs more efficiently under light to moderate loads (21.28 mW and 11.2 V). In contrast, the spring mechanism is better suited for heavier loads (22.11 mW and 11.4 V). To monitor the performance of the transducers, an active electronic circuit based on Arduino was developed, enabling real-time monitoring of eight piezoelectric disks and rapid fault detection—an advantage that can significantly reduce maintenance costs.</p> Conclusions <p>Considering its compact size (300 × 300 mm) and limited number of transducers (8 disks), the proposed design strikes an effective balance between performance and cost, making it suitable for high-traffic public spaces such as metro stations and commercial centers.</p>

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Experimental Investigation of Energy Harvesting from Human Walking on the Piezoelectric Flooring

  • 期刊论文

  • 发表日期：

    2025年10月13日

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  • Mohammad Khajevand-Dalasmi,
  • Ramazan-Ali Jafari-Talookolaei

摘要

Purpose

With the growing demand for renewable energy sources, harvesting energy from human footstep-induced vibrations has emerged as a sustainable and innovative approach to power generation.

Methods

In this study, two mechanical mechanisms for piezoelectric floor tiles were designed to convert mechanical energy from walking into electrical energy: a compression-based mechanism with 2 mm displacement and a spring-based mechanism with 5 mm displacement. Experiments were conducted with four participants ranging in weight from 20 to 90 kg, under two walking speeds and three different foot placement conditions.

Results

The experimental results indicated that the compression mechanism performs more efficiently under light to moderate loads (21.28 mW and 11.2 V). In contrast, the spring mechanism is better suited for heavier loads (22.11 mW and 11.4 V). To monitor the performance of the transducers, an active electronic circuit based on Arduino was developed, enabling real-time monitoring of eight piezoelectric disks and rapid fault detection—an advantage that can significantly reduce maintenance costs.

Conclusions

Considering its compact size (300 × 300 mm) and limited number of transducers (8 disks), the proposed design strikes an effective balance between performance and cost, making it suitable for high-traffic public spaces such as metro stations and commercial centers.