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Simulated Co-Optimization of Crystalline Silicon Solar Cell Throughput and Efficiency Using Continuously Ramping Phosphorus Diffusion Profiles

机译:使用连续斜坡磷扩散剖面模拟结晶硅太阳能电池的吞吐量和效率的共模优化

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摘要

Defect engineering is essential for the production of high-performance silicon photovoltaic (PV) devices with cost-effective solar-grade Si input materials. Phosphorus diffusion gettering (PDG) can mitigate the detrimental effect of metal impurities on PV device performance. Using the Impurity-to-Efficiency (I2E) simulator, we investigate the effect of gettering temperature on minority carrier lifetime while maintaining an approximately constant sheet resistance. We simulate a typical constant temperature plateau profile and an alternative “volcano” profile that consists of a ramp up to a peak temperature above the typical plateau temperature followed by a ramp down with no hold time. Our simulations show that for a given PDG process time, the “volcano” produces an increase in minority carrier lifetime compared to the standard plateau profile for as-grown iron distributions that are typical for multicrystalline silicon. For an initial total iron concentration of 5×1013 cm-3, we simulate a 30% increase in minority carrier lifetime for a fixed PDG process time and a 43% reduction in PDG process cost for a given effective minority carrier lifetime while achieving a constant sheet resistance of 100 Ω/□.
机译:缺陷工程对于生产具有成本效益的太阳能级Si输入材料的高性能硅光伏(PV)器件至关重要。磷扩散吸收剂(PDG)可以减轻金属杂质对PV器件性能的不利影响。使用杂质对效率(I2E)模拟器,我们研究了吸杂温度对少数载流子寿命的影响,同时保持了近似恒定的薄层电阻。我们模拟了典型的恒温高原曲线和替代的“火山”曲线,该曲线包括上升到高于典型高原温度的峰值温度,然后下降而没有保持时间。我们的模拟表明,对于给定的PDG处理时间,“火山”产生的少数载流子寿命与多晶硅中典型的成年铁分布的标准高原曲线相比有所增加。对于初始总铁浓度为5×1013 cm-3的情况,对于给定的有效少数载流子寿命,我们模拟了固定PDG工艺时间下少数载流子寿命增加了30%,将PDG工艺成本降低了43%薄层电阻为100Ω/□。

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