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具有广泛地理适应性的半透明有机光伏电池作为可持续智能窗户

Semitransparent organic photovoltaics with wide geographical adaptability as sustainable smart windows.

作者信息

Yu Jiangsheng, Pu Jihong, Xie Dongsheng, Ai Zhenhai, Lang Yongwen, Cao Menghua, Duan Chunhui, Lu Lin, Li Gang

机构信息

Department of Electrical and Electronic Engineering, Research Institute for Smart Energy (RISE), Photonic Research Institute (PRI), The Hong Kong Polytechnic University, Hong Kong, China.

Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong, China.

出版信息

Nat Commun. 2025 Aug 11;16(1):7421. doi: 10.1038/s41467-025-62546-8.

Abstract

Semitransparent organic photovoltaics (ST-OPVs) have gained significant attention due to their rapid iteration of high-efficiency photoactive materials and potential applications in building-integrated photovoltaics as smart windows. In this work, we establish a parameter (FoM) to evaluate the potential of photoactive materials for ST-OPVs, combining average visual transmittance, bandgap, and current density. PBOF and eC9 exhibit the highest FoM values of 0.084 and 0.161 for the investigated donors and acceptors, respectively. We achieve a light utilization efficiency of 6.05% as the figure of merit for all semitransparent solar cells. The derived ST-OPV exhibits enhanced thermal insulation and operational stability compared to its counterpart. The geographical analysis indicates that the hot summer/warm winter zone is the most suitable for ST-OPV glazing windows, delivering an annual total energy-saving of 1.43 GJ m. Our results demonstrate the multifunctionality and geographical factors of ST-OPVs for constructing sustainable energy-saving smart windows.

摘要

半透明有机光伏电池(ST-OPV)因其高效光活性材料的快速迭代以及在建筑一体化光伏中作为智能窗的潜在应用而备受关注。在这项工作中,我们建立了一个参数(品质因数)来评估用于ST-OPV的光活性材料的潜力,该参数结合了平均视觉透过率、带隙和电流密度。对于所研究的供体和受体,PBOF和eC9分别表现出最高的品质因数,值为0.084和0.161。我们实现了6.05%的光利用效率,作为所有半透明太阳能电池的品质因数。与同类产品相比,所制备的ST-OPV具有增强的隔热性能和运行稳定性。地理分析表明,夏热冬暖地区最适合使用ST-OPV玻璃窗,每年可实现总节能1.43吉焦/平方米。我们的结果证明了ST-OPV在构建可持续节能智能窗方面的多功能性和地理因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/008d/12339997/4a2dc7e27406/41467_2025_62546_Fig1_HTML.jpg

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