Abstract
Solar energy is abundant, reliable, and clean among all the existing renewable energy sources. Due to the fast growth of the conversion efficiency of organic-inorganic perovskite (PVT) solar cells (PSCs) has fascinated the consideration of the researchers and photovoltaic (PV) industries. To achieve high performance and stability, the selection of a hole-transport material (HTM) of PSC is essential. In this regard, we have studied the potential of solution-processed Cu-doped NiO (NiO:Cu) nanoparticles (NPs) as efficient HTL for PSCs. NiO:Cu is also able to decrease the recombination at the HTL/PVT interface. The optical loss and charge transportation rate is analyzed with the Cu doping concentration. The UV-Vis result shows that the maximum transmittance NiO:Cu HTL is obtained at a Cu doping concentration of 5%. Moreover, the time-resolved photoluminescence reviled that the same NiO:Cu HTL with Cu doping of 5% has the greatest hole transportation rate. The obtained values Jsc, Voc, FF and η of the champion PSC are 21.26 mA/cm2, 1.033 V, 0.7261, and 15.95%, respectively for RCu/Ni = 5%.
| Original language | English |
|---|---|
| Title of host publication | 2020 3rd International Conference on Power and Energy Applications, ICPEA 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 15-19 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728190297 |
| DOIs | |
| State | Published - 9 Oct 2020 |
Publication series
| Name | 2020 3rd International Conference on Power and Energy Applications, ICPEA 2020 |
|---|
Bibliographical note
Publisher Copyright:© 2020 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Cu doped nickel oxide
- PV cell parameters
- hole transport materials
- perovskite solar cell
- solar energy
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Control and Optimization
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