Impact of morphology on loss mechanisms in printed solar cells

形态对印刷太阳能电池损耗机制的影响

• 批准号: 511591336
• 负责人: Professor Dr. Carsten Deibel
• 金额: --
• 依托单位: Faculty of Engineering
• 依托单位国家: 德国
• 项目类别: Research Units
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/511591336?language=en
• 关键词: Impact; morphology; loss; mechanisms; printed

The dual aims of this project are to a) understand loss mechanisms in all-printed organic solar cells based on non-fullerene acceptors (NFAs), and b) to use this understanding to predict the final performance of printed large area NFA-based devices. We will focus on how the on nanomorphology (nm scale) and microstructure (μm scale) of printed organic layers affect recombination yield and transport losses, and how it ultimately impacts the performance of printed solar photovoltaic devices. Both physical experiments and numerical simulation will be used to underpin this work. A "hyperspectral" approach will be developed, to map the absolute photon emission spectra from charge transfer complexes upon optical excitation, in order to predict the open circuit voltage of printed active layers before the deposition of electrodes. The interpretation will be supported by a microscopic 2D network model, corresponding to the solar cell surface, where each node consists of a complete drift–diffusion simulation. We will also study the impact of the nanomorphology – measured and modelled within the consortium – on the device physics by a combination of experiments and 3D drift–diffusion simulations. For a deeper understanding, we will account for the detailed recombination losses by measuring charge carrier concentration and lifetime in the frequency domain. We will evaluate the experimental data by global fitting using the drift–diffusion model with machine learning to understand the bottlenecks limiting overall device and material performance. This approach will enable gaining a detailed understanding of both the device physics on different length scales, and how these physical processes ultimately affect the device characteristics of large area printed solar cells. In combination with the other projects within the POPULAR consortium, we will be able to unravel the function–property relations of printed NFA-based organic solar cells.

该项目的双重目标是：a)了解基于非富勒烯受体（nfa）的全印刷有机太阳能电池的损耗机制；b)利用这种理解来预测基于非富勒烯受体的印刷大面积器件的最终性能。我们将重点关注印刷有机层的纳米形态（nm尺度）和微观结构（μm尺度）如何影响复合收率和输运损失，以及它如何最终影响印刷太阳能光伏器件的性能。物理实验和数值模拟将用于支持这项工作。一种“高光谱”的方法将被开发出来，在光激发下绘制电荷转移复合物的绝对光子发射光谱，以便在电极沉积之前预测印刷活性层的开路电压。该解释将得到微观二维网络模型的支持，该模型对应于太阳能电池表面，其中每个节点由完整的漂移扩散模拟组成。我们还将通过实验和3D漂移-扩散模拟相结合，研究纳米形态（在联盟内测量和建模）对器件物理的影响。为了更深入的理解，我们将通过测量载流子浓度和频域寿命来解释详细的复合损失。我们将使用带有机器学习的漂移-扩散模型通过全局拟合来评估实验数据，以了解限制整体器件和材料性能的瓶颈。这种方法将使我们能够详细了解不同长度尺度上的器件物理特性，以及这些物理过程最终如何影响大面积印刷太阳能电池的器件特性。结合POPULAR联盟的其他项目，我们将能够解开基于nfa的印刷有机太阳能电池的功能-性质关系。