| Autor: |
Mohamed Amara, Jean Rousset, Armelle Yaiche, Jean-Baptiste Puel, Pilar Lopez-Varo, Stefania Cacovich, Mohamed Jouhari, Jean-François Guillemoles, Arthur Julien, Philip Schulz |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
2021 IEEE 48th Photovoltaic Specialists Conference (PVSC). |
| DOI: |
10.1109/pvsc43889.2021.9518668 |
| Popis: |
In this work, we study the dynamic temperature-dependent performance of perovskite solar cells (PSCs) 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 to estimate the cell temperature from given meteorological conditions. Linking the experimental electrical and optical dependence of PSCs and the thermal model we analyze the most sensible layers that increases the device temperature. Finally, we evaluate the EY of PSC working on different geographical locations and show that the impact of temperature on this prediction can be more than 10 %. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
