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Energy Harvest Predictions for a Spectrally Tuned Multiple Quantum Well Device Utilising Measured and Modelled Solar Spectra

机译:利用测量和建模的太阳光谱,对光谱调谐多量子阱器件的能量收集预测

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We present a comparison between modelled and measured solar spectra in Nicosia, Cyprus. The modelled spectra were generated using the SMARTS model, driven by various sources of measured atmospheric data, updated every 30 minutes or less. A comparison with measured spectra reveals the most reliable source of data for that location and period. The spectral simulations demonstrate that both aerosol optical depth and precipitable water content must be accurately known at the location of interest in order to realistically recreate the shape and power of measured spectra accurately. Energy harvest calculations of four triple junction (3J) solar cell designs were performed using the simulated spectra. The model predicts a 5.7percent increase in energy harvest when multiple quantum wells are included in a standard 3J device. Simple modifications made to the quantum well device to 'tune' the cell to the incident spectra result in a 6.3percent increase in predicted energy production over the standard 3J device.
机译:我们在塞浦路斯尼科斯的模型和测量太阳光谱之间进行了比较。使用由测量的大气数据的各种来源驱动的智能模型产生建模的光谱,每30分钟或更短的时间更新一次。与测量光谱的比较显示该位置和期间最可靠的数据源。光谱仿真表明,在感兴趣的位置必须准确地知道气溶胶光学深度和可降水量,以便准确地重复测量光谱的形状和功率。使用模拟光谱进行四个三交界处(3J)太阳能电池设计的能量收获计算。当多个量子阱包括在标准的3J器件中时,该模型预测了5.7%的能量收获增加。对量子阱器件的简单修改以“将”电池调谐到事件光谱导致在标准3J器件上预测能量产生的6.3%增加。

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