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From sunrise to sunset : unraveling metastability in perovskite solar cells by coupled outdoor testing and energy yield modelling
ID
Remec, Marko
(
Author
),
ID
Tomšič, Špela
(
Author
),
ID
Khenkin, Mark
(
Author
),
ID
Emery, Quiterie
(
Author
),
ID
Li, Jinzhao
(
Author
),
ID
Scheler, Florian
(
Author
),
ID
Glažar, Boštjan
(
Author
),
ID
Jankovec, Marko
(
Author
),
ID
Jošt, Marko
(
Author
),
ID
Unger, Eva
(
Author
),
ID
Albrecht, Steve
(
Author
),
ID
Schlatmann, Rutger
(
Author
),
ID
Lipovšek, Benjamin
(
Author
),
ID
Ulbrich, Carolin
(
Author
),
ID
Topič, Marko
(
Author
)
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MD5: 5E27F71F99C4C662194C2F4F74959BE7
URL - Source URL, Visit
https://onlinelibrary.wiley.com/doi/10.1002/aenm.202304452
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Abstract
Perovskite-based solar cells exhibit peculiar outdoor performance which is not yet fully understood. The results of outdoor tests may contain hidden, but valuable information that cannot be fully extracted from measurements alone. One such phenomenon is the effect of nighttime degradation and the subsequent light-soaking recovery, which can take from a few hours in the morning up to the entire day. In this work, long-term outdoor monitoring is combined with energy yield modeling to qualitatively and quantitatively investigate the effect of light-soaking recovery in both single junction and tandem perovskite-based devices. Following the novel methodology presented in this study, it is observed that the light-soaking effect depends not only on the daily irradiation but also on the device temperature, and it can be described using a simple empirical formalism. Incorporating this dependency into the energy yield model results in an excellent agreement between the simulated and the measured outdoor data, which allows to perform long-term prediction studies. The model estimates that the light-soaking metastability effect decreases the attainable annual energy yield by up to ▫$\approx 5%$▫ for the studied single junction devices, and for tandems by up to ▫$\approx 3%$▫, depending on the geographical location, and even more for non-optimal device orientation.
Language:
English
Keywords:
perovskite-based solar cells
,
»light-soaking« effect
,
realistic operating conditions
,
outdoor monitoring
,
energy yield modelling
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FE - Faculty of Electrical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2024
Number of pages:
10 str.
Numbering:
Vol. 14, iss. 29, art. 2304452
PID:
20.500.12556/RUL-167572
UDC:
621.383.51
ISSN on article:
1614-6840
DOI:
10.1002/aenm.202304452
COBISS.SI-ID:
195661571
Publication date in RUL:
28.02.2025
Views:
548
Downloads:
153
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Record is a part of a journal
Title:
Advanced energy materials
Shortened title:
Adv. energy mater.
Publisher:
Wiley-VCH
ISSN:
1614-6840
COBISS.SI-ID:
522022169
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
sončne celice na osnovi perovskitnih materialov
,
»light-soaking« efekt
,
realistični pogoji delovanja
,
spremljanje delovanja sončnih celic na prostem
,
modeliranje dolgoročnega energijskega donosa
Projects
Funder:
Other - Other funder or multiple funders
Funding programme:
Helmholtz Association
Project number:
HA-2020/2024
Name:
Tandem Perovskite And Silicon solar cells - Advanced optoelectrical characterization, modelling and stability
Acronym:
TAPAS
Funder:
Other - Other funder or multiple funders
Funding programme:
Helmholtz Association
Project number:
HA-2021/2027
Name:
Energy System Design
Acronym:
ESD
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P2-0415
Name:
Fotovoltaika in elektronika
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
J2-1727
Name:
Napredno modeliranje in karakterizacija visokoučinkovitih sončnih celic in fotonapetostnih modulov
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