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Published on: February 5, 2020
Efficient and Scalable Thermal Radiation Management for Large-Scale Thermophotovoltaic Applications
Fan Yi1, Shenghao Jin1, Boxiang Wang2
1Institute of Engineering Thermophysics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
This study introduces a novel spectral management filter for thermophotovoltaics (TPVs) that significantly enhances efficiency by overcoming parasitic absorption issues. The new design is scalable and compatible with large-scale TPV applications.
Area of Science:
- Energy Conversion
- Materials Science
- Optics
Background:
- Thermophotovoltaics (TPVs) convert heat to electricity, with applications in waste heat recovery and energy storage.
- Current TPV devices face efficiency losses due to parasitic absorption in cell arrays, limiting practical applications.
Purpose of the Study:
- To design a spectral management system that mitigates out-of-band parasitic absorptions in TPVs.
- To develop a scalable and efficient filter for large-scale TPV applications.
Main Methods:
- Machine learning was employed to optimize a novel spectral management filter design.
- The filter utilizes only 6 lithography-free layers for efficient and scalable fabrication.
Main Results:
- The designed spectral management filter achieved a commercial GaSb cell efficiency of 20.6 ± 0.13% at 1441 °C.
- An estimated efficiency of 32.99% was projected when integrated with a GaInAs cell.
- The filter demonstrated exceptional tolerance to out-of-band absorptions.
Conclusions:
- The developed spectral management filter offers significant advantages for large-scale TPV applications by addressing efficiency drops.
- This technology is expected to accelerate the adoption of TPVs in grid-scale energy storage and waste heat recovery.
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