Dynamic Temperature Effects in Perovskite Solar Cells and Energy Yield
Pilar Lopez-Varo a, Mohamed Amara b, Stefania Cacovich c, Arthur Julien a, Armelle Yaïche d, Mohamed Jougari a, Jean Rousset a d, Philip Schulz c, Jean-François Guillemoles c, Jean-Baptiste Puel a d
a Institut Photovoltaïque d'Île-de-France (IPVF), 18 Boulevard Thomas Gobert, Palaiseau, 91120, France.
b Université de Lyon, INL-UMR 5270, CNRS, INSA-Lyon, Lyon, France
c CNRS, IPVF, UMR 9006, Boulevard Thomas Gobert, 18, Palaiseau, France
d Électricité de France, EDF, R&D, Boulevard Thomas Gobert, 18, Palaiseau, France
International Conference on Hybrid and Organic Photovoltaics
Proceedings of 13th Conference on Hybrid and Organic Photovoltaics (HOPV21)
Online, Spain, 2021 May 24th - 28th
Organizers: Marina Freitag, Feng Gao and Sam Stranks
Poster, Pilar Lopez-Varo, 138
Publication date: 11th May 2021
ePoster: 

Understanding the influence of the temperature on the performance of perovskite solar cells (PSCs) is essential for device optimization and improving the stability of devices in outdoor conditions. In addition, knowing the transient thermal response of PSCs (in terms of efficiency and cell temperature) to an external agent change (light intensity, temperature, wind speed) is essential to determine the span of temperature required in the experimental measurement protocols [1,2]. In this work, we study the dynamic temperature-dependent performance of PSCs cell temperature and efficiency) and propose a full model to predict its energy yield (EY) under realistic conditions. This model stands out for the inclusion of a robust thermal model which allows estimating the cell temperature from given meteorological conditions. A thermal transient resistor-capacitor (RC) circuit model, previously developed and validated for silicon photovoltaic modules[3], is adapted to estimate the cell temperature and simulate the transient thermal performance of the perovskite solar cell as a function of device parameters and environmental variables. We measure the current-voltage curves as a function of the temperature and light intensities and extract its efficiency which allows the prediction of the device performance. Linking the experimental electrical and optical dependence of PSCs and the thermal model we analyze the most sensible layers that increase the device temperature. Finally, we evaluate the EY of PSC working on different geographical locations and show the impact of temperature on this prediction. The proper calculation of the cell temperature is essential not only to calculate the EY, but also as an input to predict the lifetime of the device.

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