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Updated: Jun 4, 2026

Thermal Measurement Techniques in Analytical Microfluidic Devices
Published on: June 3, 2015
Thermal Utilization on Chip
Yaohao Zhang1,2, Bo Lai1, Fei Yu2
1State Key Laboratory of Luminescence Science and Technology, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China.
This study introduces an on-chip thermal recovery system using hydrovoltaic generator technology. The system efficiently dissipates heat and converts waste heat into electrical energy, significantly improving energy utilization for electronic devices.
Area of Science:
- Materials Science
- Energy Harvesting
- Semiconductor Physics
Background:
- Chip integration and miniaturization increase power consumption and heat generation.
- Conventional cooling systems consume over 50% of input energy, with no solution for on-chip thermal loss.
- Existing thermal management technologies are insufficient for addressing on-chip heat accumulation.
Purpose of the Study:
- To develop an integrated on-chip thermal recovery system.
- To simultaneously achieve efficient heat dissipation and energy harvesting.
- To enhance overall energy utilization efficiency in electronic components.
Main Methods:
- Utilized hydrovoltaic generator (HEG) technology, comprising electrodes and gel.
- Integrated the HEG system with a deep ultraviolet LED chip (236 nm) as a prototype.
- Tested the system on a commercial Intel G3220 CPU chip.
Main Results:
- Maintained prototype chip temperature below 40°C while converting waste heat to electrical energy.
- Achieved a 610.70% improvement in overall energy utilization efficiency for the LED chip.
- Reduced commercial CPU temperature from 93°C to below 60°C using four HEG units.
Conclusions:
- The proposed on-chip thermal recovery system effectively manages heat and harvests energy.
- Demonstrated significant improvements in energy utilization efficiency and chip performance.
- The technology shows general applicability for commercial CPUs, enhancing lifespan and computational performance.
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