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Towards the maximum efficiency design of a perovskite solar cell by material properties tuning: A multidimensional approach

机译:通过材料性能调整实现钙钛矿太阳能电池的最大效率设计:多维方法

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摘要

To obtain significant increases in the Power Conversion Efficiency (PCE) of solar cells, we argue that the substitution of the state-of-the-art one- and two-dimensional cell optimizations, by the simultaneous improvement of multiple material properties is of substantial advantage. In this context, researchers should know, which combined material properties and cell design parameters result in the highest efficiency increase. For the same objective, it is also of importance to know, which ideal relationships in-between these variables have to be adjusted. Such knowledge becomes available by simulations and numerical optimizations, which we present for a Perovskite Solar Cell (PSC) in a hypercube space of model variables. We prove that its PCE increases principally because of the nonlinearities inherent to its mathematical model, and therefore, we elucidate the importance of the multidimensional variable improvements in the PSC's optimization. We increased the PCE to a value of at least 27.6% by simultaneous improvements of the cell's material properties, and light trapping, for a large range of absorber layer thicknesses, from t(o) = 160 to 400 nm. The lower thickness results in a significant reduction of the device's Pb content.
机译:为了使太阳能电池的功率转换效率(PCE)显着提高,我们认为通过同时改善多种材料特性来替代最新的一维和二维电池优化意义重大优点。在这种情况下,研究人员应该知道,哪种材料特性和电池设计参数相结合会导致最高的效率提高。对于同一目标,了解这些变量之间的哪些理想关系必须进行调整也很重要。这些知识可以通过模拟和数值优化获得,我们在模型变量的超立方体空间中为钙钛矿太阳能电池(PSC)展示了这些知识。我们证明其PCE的增加主要是由于其数学模型固有的非线性,因此,我们阐明了多维变量改进对PSC优化的重要性。通过同时改善电池的材料性能和光陷获,我们将PCE的值提高到至少27.6%,对于从t(o)= 160到400 nm的大范围的吸收层厚度,我们将其提高了。较低的厚度可显着降低器件的Pb含量。

著录项

  • 来源
    《Solar Energy》 |2019年第12期|499-509|共11页
  • 作者单位

    Univ Fed Santa Catarina Dept Elect & Elect Engn Elect Mat Lab LAMATE BR-88040970 Florianopolis SC Brazil|Univ Fed Santa Catarina Solar Energy Res Lab Fotovolta UFSC BR-88056000 Florianopolis SC Brazil;

    Univ Fed Santa Catarina Solar Energy Res Lab Fotovolta UFSC BR-88056000 Florianopolis SC Brazil;

    Univ Fed Santa Catarina Dept Elect & Elect Engn Elect Mat Lab LAMATE BR-88040970 Florianopolis SC Brazil;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Perovskite solar cells; Simulation; Numerical optimization; Light trapping; Cell designs;

    机译:钙钛矿太阳能电池;模拟;数值优化;陷光;单元设计;

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