Self-Powered Wireless COโ‚‚ Monitoring

Revolutionary battery-free environmental sensing through vibration energy harvesting

Published in Nano Energy Impact Factor: 17.1

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Project Overview

I designed and implemented a wireless COโ‚‚ sensing system that operates completely without batteries by harvesting ambient vibration energy through a triboelectric nanogenerator (TENG). This groundbreaking system integrates BLE 5.0 communication for real-time data transmission, enabling sustainable environmental monitoring in industrial settings.

As the co-first author, I led the system architecture design, implemented the wireless communication protocol, and optimized the power management circuit to achieve self-sustained operation with minimal vibration input (as low as 0.3 g acceleration).

0 mW
External Power
5 min
Update Interval
0-5000
ppm Range
BLE 5.0
Wireless Protocol

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System Architecture

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Vibration Source

Ambient mechanical vibration (0.3-2g)

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โšก

TENG Harvester

Triboelectric energy conversion

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COโ‚‚ Sensor

NDIR sensing module

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BLE Transmitter

nRF52832 SoC

๐Ÿ’ก Key Innovation

The system achieves complete energy autonomy by utilizing a highly efficient inertia-driven TENG that can harvest energy from vibrations as small as 0.3 g, making it suitable for deployment in various industrial environments without any external power source.

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Technical Specifications

โšก Energy Harvesting

  • Harvester Type TENG
  • Min. Acceleration 0.3 g
  • Power Output ~250 ยตW
  • Storage Capacitor 1000 ยตF

๐ŸŒ COโ‚‚ Sensing

  • Sensor Type NDIR
  • Range 0-5000 ppm
  • Accuracy ยฑ50 ppm
  • Response Time <30 sec

๐Ÿ“ก Wireless Communication

  • Protocol BLE 5.0
  • MCU/Radio nRF52832
  • TX Power 0 dBm
  • Range ~50 m

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Experimental Results

Power Generation vs Vibration Frequency

COโ‚‚ Measurement Accuracy

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My Key Contributions

1

System Architecture Design

Designed the complete wireless sensing system integrating COโ‚‚ sensor, BLE module, and power management circuit with optimal component selection for low-power operation.

2

BLE Protocol Implementation

Developed custom BLE communication protocol with adaptive transmission intervals based on available harvested energy, ensuring reliable data delivery.

3

Power Optimization

Achieved self-powered operation through efficient energy management, including sleep mode optimization and intelligent power gating techniques.

4

FPCB Design & Integration

Created compact flexible PCB layout integrating all components in a 40mm ร— 30mm form factor, suitable for industrial deployment.

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Publication Details

Highly compact inertia-driven triboelectric nanogenerator for self-powered wireless COโ‚‚ monitoring via fine-vibration harvesting

Daniel Manaye Tiruneh*, Gyurim Jang*, Kyeongha Kwon, Hanchul Ryu
*Co-first authors

Journal: Nano Energy
Impact Factor: 17.1
Volume: 138
Published: June 2025
View Full Paper โ†’

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Future Directions

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Multi-Sensor Integration

Expanding the system to include temperature, humidity, and VOC sensors for comprehensive environmental monitoring.

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Edge AI Implementation

Integrating on-device machine learning for predictive maintenance and anomaly detection in industrial environments.

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Industrial Deployment

Collaborating with industry partners for large-scale deployment in manufacturing facilities and smart buildings.