Betavoltaic battery performance: Comparison of modeling and experiment
A A Svintsov1, A A Krasnov2, M A Polikarpov3
1Institute of Microelectronics Technology RAS, 142432 Chernogolovka, IMT, Russia.
Summary
This study validates Monte Carlo simulation software for predicting betavoltaic device performance. Experimental results show good agreement with simulations, confirming the modeling method
Area of Science:
- Nuclear Engineering
- Semiconductor Device Physics
Background:
- Betavoltaic devices convert radioactive decay energy into electricity.
- Accurate simulation is crucial for optimizing betavoltaic cell design and performance prediction.
Purpose of the Study:
- To verify Monte Carlo simulation software for short-circuit current prediction in betavoltaic devices.
- To compare simulation results with experimental data using various semiconductor converters.
Main Methods:
- Utilized a Nickel-63 (Ni-63) radioactive source.
- Employed Silicon (Si) p-i-n diodes, Silicon Carbide (SiC), and Gallium Nitride (GaN) Schottky diodes as converters.
- Performed experimental measurements and Monte Carlo simulations.
Main Results:
- The simulation method showed good agreement with experimental measurements.
- Differences between measured and calculated short-circuit currents were within 25%.
- Predicted output power errors were below 30%.
Conclusions:
- The proposed Monte Carlo modeling method is valid for predicting betavoltaic device performance.
- The study estimated the effects of protective and passivating layers on energy deposition.
- Maximum attainable betavoltaic cell parameters were estimated.
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