Henzel, Jonathan (2023): Raw data to "Quantifying reverse bias degradation of perovskite solar cells". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ef3d2f15-ebf8-48c3-aeb4-629e176f9d05.v1

Dataset

x choose version: version 4 - 2023-10-27 (latest) version 3 - 2023-08-23 version 2 - 2023-08-03

• Renewable Energy
• Energy

perovskite solar cells, reverse bias degradation

2022

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Jonathan Henzel

This dataset contains the raw data that is used in the communication "Quantifying reverse bias degradation of perovskite solar cells" .

It includes the results of the two characterization steps 1 and 2 (before/after reverse bias degradation), consisting of IV curves, solar cells parameters from IV measurements, dark IV curves (DIV), extended dark IV curves (DIVext), maximum-power-point-tracking (MPPT), and reverse bias currents (RevBiasCurrents). The samples were perovskite solar cells of four different batches (A, B, C, and D) that had a cell area of 0.16 cm2. Four cells were on one glass superstrate which had an area of 3x3 cm2. Further details about the cells and the differences between the batches can be found in the communication and its accompanying electronic supporting information.

• 2023-05-01 first online, published, posted

4TU.ResearchData

Compressed folder (.rar) with folders containing.txt-files or .dat-files, ReadMe file as .txt

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Sciences (EEMCS), Department of Electrical Sustainable Energy;
TNO, Energy & Materials Transition, Solar Technology & Application