Semitransparent Photovoltaics via Reflection Optical Paths

Semitransparent photovoltaics (STPV) show great potential for building integration, but the imbalance between visible light transmission and power generation limits their practical applications. To overcome this, a reflective STPV (R-STPV) structure is proposed, via utilizing a dual-surface reflection optical path to achieve equivalent transmission. Unlike STPV systems relying on transmission optical paths, this design bypasses reflection losses and alleviates the stringent selective absorption requirements for the active layer. Thus, such design enables the fabrication of wavelength-selective STPVs using various high-performance photovoltaic materials such as silicon, CIGS, and CdTe. As a proof-of-concept, an optical reflector is designed to selectively reflect visible light and transmit the invisible one, and by integrating it with the above PVs, we demonstrate high-performance R-STPV with appropriate optical geometry. Remarkably, the best Si-based R-STPV delivers a reliable efficiency of 14.4%, an average visible light transmittance of 92.2%, a record light utilization efficiency of 13.28% and an exceptional color rendering index of 99%. The versatility of R-STPV window technology makes it suitable for various building-integration application scenarios, and an average annual power generation of 69.8 kWh year m<sup>-</sup> <sup>2</sup> is obtained according to the simulation results. Therefore, this work paves a new path for high-performance solar windows that will contribute significantly to energy sustainability.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2025-09-13
DOI
https://doi.org/10.1002/adma.202514266
Citations
2
Primary Topic
solar cell performance optimization
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Semitransparent Photovoltaics via Reflection Optical Paths

Yucheng Wu, Tengyao Jiang, Alex K.‐Y. Jen, Huanzheng Zhu et al.
2 citations
Advanced Materials
solar cell performance optimization
1.46
article

Semitransparent Photovoltaics via Reflection Optical Paths

Yucheng Wu, Tengyao Jiang, Alex K.‐Y. Jen, Huanzheng Zhu, Yanghua Lu, Lijian Zuo, Hongzheng Chen, Yiming Wang, Qiang Li, Xiangjun Zheng
article en
2 citations

Abstract

Semitransparent photovoltaics (STPV) show great potential for building integration, but the imbalance between visible light transmission and power generation limits their practical applications. To overcome this, a reflective STPV (R-STPV) structure is proposed, via utilizing a dual-surface reflection optical path to achieve equivalent transmission. Unlike STPV systems relying on transmission optical paths, this design bypasses reflection losses and alleviates the stringent selective absorption requirements for the active layer. Thus, such design enables the fabrication of wavelength-selective STPVs using various high-performance photovoltaic materials such as silicon, CIGS, and CdTe. As a proof-of-concept, an optical reflector is designed to selectively reflect visible light and transmit the invisible one, and by integrating it with the above PVs, we demonstrate high-performance R-STPV with appropriate optical geometry. Remarkably, the best Si-based R-STPV delivers a reliable efficiency of 14.4%, an average visible light transmittance of 92.2%, a record light utilization efficiency of 13.28% and an exceptional color rendering index of 99%. The versatility of R-STPV window technology makes it suitable for various building-integration application scenarios, and an average annual power generation of 69.8 kWh year m<sup>-</sup> <sup>2</sup> is obtained according to the simulation results. Therefore, this work paves a new path for high-performance solar windows that will contribute significantly to energy sustainability.

Advanced MaterialsVol. 38(1)
City University of Hong Kong (HK), Institute of Macromolecular Chemistry (UA), Zhejiang Lab (CN), Zhejiang University (CN)
Openalex Percentile: Top 15%
solar cell performance optimization
1.46
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.