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arXiv 2303.02004physics.app-phcond-mat.mtrl-sci
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基于能量无序分子半导体的室内光伏的热力学极限

The Thermodynamic Limit of Indoor Photovoltaics Based on Energetically-Disordered Molecular Semiconductors

Austin M. Kay, Maura E. Fitzsimons, Gregory Burwell, Paul Meredith, Ardalan Armin, Oskar J. Sandberg

AI总结:

本研究探究能量无序等因素对有机基室内光伏性能上限的不利影响,给出功率转换效率的实际上限,发现能量无序会偏移最优光学带隙,并提出可预测任意光照下IPV性能的方法及配套工具。

摘要:

有机半导体因其可定制的光学特性,在室内光伏(IPVs)领域展现出巨大的应用潜力,而室内光伏将在未来几十年为无处不在的“物联网”设备提供可持续的供电途径。然而,由于其激子特性和能量无序的本质,有机半导体在太阳能电池中通常表现出显著的亚带隙吸收和相对较大的非辐射损耗。因此,要优化基于有机半导体的光伏器件,至关重要的是理解能量无序和非辐射复合如何限制这些器件在室内光源下的性能。在本研究中,我们探究了能量无序、亚光学带隙吸收以及非辐射开路电压损耗如何对基于有机半导体的IPVs的性能上限产生不利影响。基于这些考量,我们给出了功率转换效率的实际上限估计值。研究发现,分子半导体中固有存在的能量无序,通常会使工作在LED光谱下的器件的最优光学带隙从1.83 eV偏移至约1.9 eV。最后,我们还介绍了一种用于预测任意光照条件下IPV性能的方法(附带一个带有图形用户界面的计算工具)。利用该方法,我们估算了多种光伏材料的室内PCE,其中包括最先进的体系PM6:Y6和PM6:BTP-eC9。

英文摘要:

Due to their tailorable optical properties, organic semiconductors show considerable promise for use in indoor photovoltaics (IPVs), which present a sustainable route for powering ubiquitous "Internet-of-Things" devices in the coming decades. However, owing to their excitonic and energetically disordered nature, organic semiconductors generally display considerable sub-gap absorption and relatively large nonradiative losses in solar cells. To optimize organic semiconductor-based photovoltaics, it is therefore vital to understand how energetic disorder and non-radiative recombination limit the performance of these devices under indoor light sources. In this work, we explore how energetic disorder, sub-optical gap absorption, and non-radiative open-circuit voltage losses detrimentally affect the upper performance limits of organic semiconductor-based IPVs. Based on these considerations, we provide realistic upper estimates for the power conversion efficiency. The energetic disorder, inherently present in molecular semiconductors, is generally found to shift the optimal optical gap from 1.83 eV to ~1.9 eV for devices operating under LED spectra. Finally, we also describe a methodology (accompanied by a computational tool with a graphical user interface) for predicting IPV performance under arbitrary illumination conditions. Using this methodology, we estimate the indoor PCEs of several photovoltaic materials, including the state-of-the-art systems PM6:Y6 and PM6:BTP-eC9.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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