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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 118

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Paper Title: IoT-Enabled Dual-Model Piezoelectric Energy Harvesting System for Real-Time Footstep Power Generation and Monitoring
Authors Name: Dr. C Stanly Felix , Dr. V Keerthika , Mounikha K V , Boopal N , Nirubhama Rani S S, Ana Dorthy L
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IJRTI_207088
Published Paper Id: IJRTI2511031
Published In: Volume 10 Issue 11, November-2025
DOI:
Abstract: This paper is a practical study about an IoT-enabled dual-model piezoelectric energy harvesting system designed to convert mechanical energy from human footsteps into electrical power that can be used. The system consists of two prototypes: a public infrastructure model, where piezoelectric sensors are embedded under high-footfall areas to power LED streetlights, and a wearable model integrated into footwear for charging low-power electronic devices. Arduino UNO and ESP32 microcontrollers is used by both these models for data collection and wireless transmission, with the collected energy data synchronized with Firebase and is visualized using a Flutter mobile application. The study showcases real-time monitoring and data tracking for both models. According to experimental analysis, the public model produces approximately 11 W of energy that can be used from 4,456 footsteps, while the wearable model generates around 0.48 W from 475 steps. The suggested system provides a cost-effective, portable, and eco-friendly solution for local energy generation, supporting smart infrastructure and sustainable urban development.
Keywords: Piezoelectric energy harvesting, Piezoelectric sensors, Footstep power generation, Public infrastructure, Off-grid renewable energy, Footstep energy, ESP32, Arduino UNO, Firebase, Flutter Mobile Application
Cite Article: "IoT-Enabled Dual-Model Piezoelectric Energy Harvesting System for Real-Time Footstep Power Generation and Monitoring", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.a226-a235, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511031.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2511031
Registration ID:207088
Published In: Volume 10 Issue 11, November-2025
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Page No: a226-a235
Country: -, -, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511031
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511031
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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