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DERIVATION OF CRITICAL PARAMETERS OF BETAVOLTAICS

机译:推论关键参数的推导

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Betavoltaic cells are nuclear batteries ideal for low-power applications for extended periods of time without maintenance or replacement. Betavoltaics function similarly to photovoltaic (solar) cells where instead of using sunlight, beta particles are used to generate electron-hole pairs within a semiconductor p-n junction to generate current. Even though there have been multiple demonstrations, betavoltaic performance has not been extensively studied. To accurately predict betavoltaic performance, which is important for a device in operation without maintenance for elongated periods, all parameters are required to predict potential fluctuations in cell performance, such as doping densities and resistances for semiconductor variation and absorption coefficients for beta-generated current. However, not all parameters are easily measured, especially when the p-n junction is constantly under irradiation and cannot be separated from the source. Critical parameters were characterized experimentally with the betavoltaic cell by performing capacitance-voltage to determine doping densities and performing current-voltage characterization tests to determine resistances on multiple NanoTritium™cells, while absorption coefficients were determined from MCNP6 simulations. Experiments indicated that series resistance R_s was 1 × 10~6 Ω., while shunt resistance R_(sh) was 2 × 10~8 Ω from I-V characterization, while doping density N_D was determined to be 1 × 1017 cm~3 from C-V characterization. Absorption coefficient a was found to vary with semiconductor material and incoming beta energy and used in conjunction with critical parameters from experimentation to accurately model betavoltaic cell performance similar to experimental results. Both implicit equations and explicit estimations were compared to model betavoltaic cell performance.
机译:Betavoltaic电池是核电池,非常适合长时间低功耗应用而无需维护或更换。 Betavoltaics的功能与光伏(太阳能)电池相似,在该光伏电池中,beta粒子代替使用太阳光,而是在半导体p-n结内生成电子-空穴对以生成电流。即使已经进行了多次演示,β伏安性能也没有得到广泛研究。为了准确地预测β电压性能,这对于长时间不需维护的设备而言非常重要,因此需要所有参数来预测电池性能的潜在波动,例如掺杂密度和半导体电阻以及β产生电流的吸收系数。但是,并非所有参数都易于测量,尤其是当p-n结一直处于辐照状态且无法与源分离时。通过使用电容-电压来确定掺杂密度并执行电流-电压特性测试来确定多个NanoTritium™电池上的电阻,并使用β伏打电池对关键参数进行了实验表征,而吸收系数是根据MCNP6模拟确定的。实验表明,通过IV表征,串联电阻R_s为1×10〜6Ω,而分流电阻R_(sh)为2×10〜8Ω,根据CV表征,掺杂密度N_D被确定为1×1017 cm〜3。 。发现吸收系数α随半导体材料和进入的β能量而变化,并与来自实验的关键参数结合使用,以准确地模拟类似于实验结果的β电池性能。隐式方程和显式估计都与模型β电池性能进行了比较。

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