Proceedings of MATSUS23 & Sustainable Technology Forum València (STECH23) (MATSUS23)
DOI: https://doi.org/10.29363/nanoge.matsus.2023.072
Publication date: 22nd December 2022
Device modeling and energy yield (EY) calculations are essential tools to optimize solar cell architectures. Device modeling through opto-electrical simulations allows to analyze device performance under standard conditions. In perovskite solar cells (PSC); the energy alignment at the interfaces, ion migration and potential distribution along the device play a critical role on device performance. To investigate them, we have characterized horizontal PSC microstructures[1]. We were able to draw the potential distribution along the solar cell structure by coupling X‐ray photoelectron spectroscopy (XPS) and drift-diffusion modeling[1]. Furthermore, in this work we considered the role of ion migration for the analysis of the band device structure. On the other hand, EY calculations estimate the total output generated energy of a solar cell after one year in a specific place. EY calculations also allow the analysis of device stability which is highly affected by device temperature[2]. Therefore, it is crucial to determine accurately the device temperature. To estimate cell temperature, we propose a thermal model which is a function of device parameters, environmental variables, and is strongly linked with the experimental optical-electrical-thermal performance[2]. We studied the effect of realistic temperature conditions on the performance of PSCs and their transient response to environmental external changes using a theoretical-experimental combined approach. Linking the experimental results and our model, we were able to evaluate the most sensible device layers that increment device temperature affecting device stability.
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