Unraveling Thermal Accumulation in Perovskite/Silicon Tandems: Structure- and Material-Driven Heating in SHJ, TOPCon, and TBC Bottom Cells

Abstract Perovskite/silicon (PVK/Si) tandem solar cells approach 35% efficiency, while near-infrared (NIR)-induced thermal accumulation severely restricts their operational stability. This work reveals structural and material heating origins of three mainstream silicon bottom sub-cells: SHJ, TOPCon, and TBC. Under NIR irradiation, the SHJ bottom cell shows the highest steady-state temperature (65.2 °C) and maximum efficiency loss (7.91% at 150 °C) due to its rear texture extending the NIR optical path and low-thermal-conductivity ITO/a-Si:H layers. In contrast, the TBC bottom sub-cell with a planar rear surface and high-thermal-conductivity SixNy/poly-Si stack presents the weakest heat buildup and best stability with only 5.86% PCE decay. IEC-standard long-term thermal aging tests confirm the serious performance degradation of SHJ bottom sub-cell. COMSOL simulations validate our findings in both 2T and 4T tandem configurations. This work offers useful references for thermally driven bottom-cell selection among the studied architectures, toward efficient, stable, and industrially viable PVK/Si tandem solar cells.

Authors

Institutions

Publication Details

Journal
ACS Energy Letters
Published
2026-09-07
DOI
https://doi.org/10.1021/acsenergylett.6c01614
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Unraveling Thermal Accumulation in Perovskite/Silicon Tandems: Structure- and Material-Driven Heating in SHJ, TOPCon, and TBC Bottom Cells

Xuan Chang, Bingbing Chen, Jianhui Chen, Dehua Yang et al.
ACS Energy Letters
Perovskite Materials and Applications
article

Unraveling Thermal Accumulation in Perovskite/Silicon Tandems: Structure- and Material-Driven Heating in SHJ, TOPCon, and TBC Bottom Cells

Xuan Chang, Bingbing Chen, Jianhui Chen, Dehua Yang, Mengmeng Wu, Kaiyue Li, Jinchao Shi, Shuaihang Hou, Yuke Ren, Hang Weng, Shufang Wang, Huan Yang, Haishun Gao, Bo Yu, Guoang Li, Xueliang Yang, Yanfeng Li
article en

Abstract

Abstract Perovskite/silicon (PVK/Si) tandem solar cells approach 35% efficiency, while near-infrared (NIR)-induced thermal accumulation severely restricts their operational stability. This work reveals structural and material heating origins of three mainstream silicon bottom sub-cells: SHJ, TOPCon, and TBC. Under NIR irradiation, the SHJ bottom cell shows the highest steady-state temperature (65.2 °C) and maximum efficiency loss (7.91% at 150 °C) due to its rear texture extending the NIR optical path and low-thermal-conductivity ITO/a-Si:H layers. In contrast, the TBC bottom sub-cell with a planar rear surface and high-thermal-conductivity SixNy/poly-Si stack presents the weakest heat buildup and best stability with only 5.86% PCE decay. IEC-standard long-term thermal aging tests confirm the serious performance degradation of SHJ bottom sub-cell. COMSOL simulations validate our findings in both 2T and 4T tandem configurations. This work offers useful references for thermally driven bottom-cell selection among the studied architectures, toward efficient, stable, and industrially viable PVK/Si tandem solar cells.

ACS Energy Letters
Technology Applications (United States) (US), S Group Holding (Czechia) (CZ), Golden Concord Group (China) (CN), TED University (TR), Hebei University of Environmental Engineering (CN), Energy Foundation (CN), Hebei University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 20%
Perovskite Materials and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.