Detail publikace
Low-Frequency Noise Diagnostic of Silicon Concentrator Photovoltaic Cell With Very High Efficiency
VANĚK, J. CHOBOLA, Z. LUŇÁK, M.
Originální název
Low-Frequency Noise Diagnostic of Silicon Concentrator Photovoltaic Cell With Very High Efficiency
Anglický název
Low-Frequency Noise Diagnostic of Silicon Concentrator Photovoltaic Cell With Very High Efficiency
Jazyk
en
Originální abstrakt
This paper deals with comparisons of noise spectroscopy, I-V characteristic and microplasma detection of silicon concentrator photovoltaic (CPV) cell with very high efficiency. Efficiency reaches to 38%. We studied two groups with different technologies (A and B). Each group had 6 samples. The samples were quality screened using noise analysis. From the measurement results it follows that the noise spectral density related to defects is of 1/f or generation-recombination types. G-R noise and burst noise is not fundamental noise and therefore can by use as a quality indicator.
Anglický abstrakt
This paper deals with comparisons of noise spectroscopy, I-V characteristic and microplasma detection of silicon concentrator photovoltaic (CPV) cell with very high efficiency. Efficiency reaches to 38%. We studied two groups with different technologies (A and B). Each group had 6 samples. The samples were quality screened using noise analysis. From the measurement results it follows that the noise spectral density related to defects is of 1/f or generation-recombination types. G-R noise and burst noise is not fundamental noise and therefore can by use as a quality indicator.
Dokumenty
BibTex
@inproceedings{BUT120033,
author="Jiří {Vaněk} and Zdeněk {Chobola} and Miroslav {Luňák}",
title="Low-Frequency Noise Diagnostic of Silicon Concentrator Photovoltaic Cell With
Very High Efficiency",
annote="This paper deals with comparisons of noise spectroscopy, I-V characteristic and microplasma detection of silicon concentrator photovoltaic (CPV) cell with very high efficiency. Efficiency reaches to 38%. We studied two groups with different technologies (A and B). Each group had 6 samples. The samples were quality screened using noise analysis. From the measurement results it follows that the noise spectral density related to defects is of 1/f or generation-recombination types. G-R noise and burst noise is not fundamental noise and therefore can by use as a quality indicator.",
address="ECS Transaction",
booktitle="ECS Trans. 2015 70(1)",
chapter="120033",
doi="10.1149/07001.0245ecst",
howpublished="electronic, physical medium",
institution="ECS Transaction",
number="1",
year="2015",
month="december",
pages="245--253",
publisher="ECS Transaction",
type="conference paper"
}