Perovskite Nanocrystals: Opportunities in Luminescent Solar Concentrators

Author:

Jin Lei1,Selopal Gurpreet Singh23ORCID,Liu Xin3,Benetti Daniele3,Rosei Federico34ORCID

Affiliation:

1. Institute of Nanoscience and Applications Southern University of Science and Technology 1088 Xueyuan Avenue, Nanshan District Shenzhen Guangdong 518055 China

2. Department of Engineering Faculty of Agriculture Dalhousie University 39 Cox Rd, Banting Building Truro NS B2N 5E3 Canada

3. Centre for Energy Materials and Telecommunications Institut national de la recherche scientifique 1650 Boul. Lionel‐Boulet Varennes QC J3X 1P7 Canada

4. Department of Chemical and Pharmaceutical Sciences University of Trieste Via Giorgeri 1 Trieste 34127 Italy

Abstract

AbstractLuminescent solar concentrators (LSCs) are complementary sunlight collectors for photovoltaics (PVs). Emissive fluorophores embedded in a transparent waveguide collect solar radiation over a large area and convert it into luminescence directed to the PV cells that frame the waveguide's edges. Among various fluorophores, perovskite nanocrystals (PNCs) show considerable potential for LSCs thanks to their wide size/composition/shape tunable broad absorption spectrum ranging from UV to near‐infrared, which significantly overlaps with the solar spectrum. They also feature high brightness with a photoluminescence quantum yield of up to 100% and ease of fabrication through wet chemistry approaches. In addition, PNCs can be engineered to minimize the absorption/emission overlap, which is the key to suppressing energy losses caused by reabsorption. Here, the structure and properties of PNCs and then correlate them with LSC performance is presented. The synthesis of PNCs using wet‐chemistry approaches and summarize the latest developments of PNCs‐based LSCs, categorized by the engineering strategies of PNCs and the design of the LSC configurations is critically reviewed. Finally, it is described major challenges and perspectives for future work, outlining the rational design, synthesis, PNC loading, surface engineering, and machine‐learning‐based tuning of PNC‐LSC.

Funder

Canada Foundation for Innovation

Fonds de recherche du Québec – Nature et technologies

Publisher

Wiley

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