journal article·2023-06

Parasitic Heating of Perovskite‐ and Silicon‐Based Photovoltaics

Lujia Xu, Erkan Aydin, Michele De Bastiani, Maxime Babics, Jiang Liu, Randi Azmi, Mohammed Alamer, Michael F. Salvador, Wenzhu Liu, Thomas Allen, Fuzong Xu, Jingxuan Kang, Anand Subbiah, Wenbo Yan, Atteq Ur Rehman, Lyu Zhou, Waseem Raja, Qiaoqiang Gan, Zhengxin Liu, Stefaan De Wolf

Advanced Energy Materials· Volume 13· Issue 24
Publisher page

Abstract

Abstract The origins of parasitic heating for photovoltaic (PV) technologies based on silicon, perovskites, and their combination in monolithic tandems are investigated. To quantify heating losses, the cooling score (CS) as a new simple metric, representing the percentage of incident solar irradiance not contributing to module heating is introduced. This is a function of both the optical structure and power conversion efficiency (PCE) of the PV modules and allows a fair comparison between different technologies under identical performance‐evaluation scenarios. Silicon single‐junction devices have the lowest CS due to their low bandgap (causing significant carrier thermalization losses) and their use of light‐trapping structures to increase their PCE which also undesirably increases parasitic absorption of sub‐bandgap photons. Conversely, perovskite single‐junction devices show the highest CS in all studied performance‐evaluation scenarios thanks to their wider bandgap and high absorption coefficient, enabling absorption of all solar photons that may contribute to the photocurrent without requiring light‐trapping structures. While perovskite/silicon tandems minimize thermalization losses, they also usually employ light‐trapping structures in their bottom cell to increase their PCE, which lowers their CS. Through simulation and outdoor experiments, it is demonstrated that an efficient module‐cooling environment may significantly suppress the detrimental effects associated with a low CS.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Thermal Radiation and Cooling Technologies · solar cell performance optimization · Perovskite Materials and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

KAUST Solar Center (KSC) Physical Sciences and Engineering Division (PSE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955–6900 Saudi Arabia

Department of Chemistry & INSTM Università di Pavia Pavia 27100 Italy

Research Center for New Energy Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Jiading Shanghai 201800 China

Department of Electrical Engineering The State University of New York at Buffalo Buffalo NY 14260 USA

Department of Mechanical Engineering The University of Texas at Dallas Richardson TX 75080 USA

Material Science Engineering Physical Sciences and Engineering Division (PSE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955–6900 Saudi Arabia

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