Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment ( IF 1.4 ) Pub Date : 2020-05-05 , DOI: 10.1016/j.nima.2020.164103 F. Bouzid , F. Pezzimenti , L. Dehimi
In this work, we optimized the performance of a gallium nitride (GaN)-based n/p junction betavoltaic cell irradiated by the radioisotope nickel-63 (). In particular, we developed a lab-made software starting from an analytical model that takes into account a set of fundamental physical parameters for the cell structure. The simulations reveal that, by using a radioisotope source with a 25 mCi/cm activity density emitting a flux of beta-particles with an average energy of 17.1 KeV, the cell performs a conversion efficiency () in excess of 26%, thus approaching the theoretical limit for a GaN-based device. The other electrical parameters of the cell, namely the short-circuit current density (), open-circuit voltage (), and maximum electrical power density () are , 2.87 V, and , respectively. The presented analysis can turn useful for understanding the theoretical background needed to better face GaN-based betavoltaic cell design problems.
中文翻译:
基于GaN的n / p结betavoltaic电池的建模和性能分析
在这项工作中,我们优化了放射性同位素Nickel-63(GaN)辐照的基于氮化镓(GaN)的n / p结betavoltaic电池的性能)。特别是,我们从分析模型开始开发了实验室制造的软件,该分析模型考虑了细胞结构的一组基本物理参数。模拟显示,通过使用 25 mCi / cm的放射性同位素源 通过发射平均能量为17.1 KeV的β粒子通量的活度密度,该电池执行了转化效率()超过26%,从而接近GaN基器件的理论极限。电池的其他电参数,即短路电流密度(), 开路电压 ()和最大电功率密度() 是 ,2.87 V和 , 分别。提出的分析对于理解更好地解决基于GaN的β伏打电池设计问题所需的理论背景很有帮助。