Modeling and Optimization of Energy Harvesters for Specific Applications Using COMSOL and Equivalent Spring Models.

Area of Science:

• Energy Harvesting
• Materials Science
• Mechanical Engineering

Background:

• Energy harvesting faces challenges due to diverse frequency bands in natural sources.
• Piezoelectric harvesters require natural frequency alignment with the energy source for optimal performance.

Purpose of the Study:

• To model and design application-specific energy harvesters by adjusting natural frequencies.
• To optimize energy capture from various natural sources through precise frequency tuning.

Main Methods:

• Modeling piezoelectric transducers using COMSOL Multiphysics and a spring-mass schematic.
• Adjusting device natural frequencies to match target energy source bandwidths.
• Validating simulation results against experimental data.

Main Results:

• Achieved a maximum power output of 160 µW and power density of 187.35 µW/cm³ at 65 Hz.
• Calculated theoretical maximum power density of 692.97 W/m³.
• Demonstrated accurate simulations validated by experimental data.

Conclusions:

• Developed a design framework for optimizing energy harvester performance across diverse applications.
• The proposed method leads to more efficient and application-specific energy harvesting devices.
• Findings support enhanced energy capture under varied environmental conditions.