Powering Sustainable Smart Bulbs via Piezoelectric Energy Harvesting from Industrial Noise and Vibrations with Optimised Effective Energy Conversion

Piezoelectric energy harvesting presents a promising approach for powering low-power Internet of Things (IoT) devices using ambient mechanical vibrations. This study investigates a prototype smart bulb system designed to utilize piezoelectric transducers to convert industrial noise and vibrations into usable electrical energy for a $1.5 \mathrm{~W}, 12 \mathrm{~V}$ LED bulb. The research aims to enhance localized, off-grid energy generation while supporting sustainable infrastructure in vibration-intensive environments. Systematic experiments were conducted using three circuit configurations: a voltage multiplier, a full-wave bridge rectifier (FWBR), and an FWBR with capacitor filtering. Tests were performed on various vibration sources, including a gasoline generator, a grass cutter, a motorcycle, a quadricycle, and tea-hulling machinery. Voltage Multiplier circuit achieved the highest performance, recording a mean output of $13.5 \pm 0.4 \mathrm{~V}$ under gasoline generator vibrations $(2800-3600 \mathrm{rpm}, 75-85 \mathrm{~dB})$. In comparison, the capacitor-filtered FWBR circuit recorded $5.85 \pm 2.72 \mathrm{~V}$ under human-induced vibrations, showing smoother but less intense responses. The FWBR circuit without a capacitor demonstrated superior dynamic response, generating $11.9 \pm 0.2 \mathrm{~V}$ under quadricycle vibrations ($\mathbf{2 5 0 0}-\mathbf{4 5 0 0} \mathbf{~ r p m}, \mathbf{6 0}-\mathbf{6 5 ~ d B}$). Industrial trials in a tea factory yielded a steady average output of 11.2 ± 0.3 V, confirming adaptability to moderate vibration conditions. Rectified outputs were stored in a $3.7 \mathrm{~V}, 1200 \mathrm{mAh}$ Li-ion battery protected by a Zener diode and boosted to 12 V via an MT3608 converter. A fully charged smart bulb illuminated for approximately 35 minutes, while direct piezo operation sustained light for less than 10 seconds. Efficiency analysis indicated that $\mathbf{4 7}$ piezo disks are required for $\mathbf{8}$-hour charge cycle. These findings demonstrate the feasibility of integrating piezoelectric harvesting with IoT lighting applications to advance sustainable, energy-autonomous industrial systems.

• Publication year

  2025

• Venue

  2025 9th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI)

• Publication date

  2025-11-19

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1109/SLAAI-ICAI68534.2025.11318496
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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