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Monte-Carlo simulations of optical efficiency in luminescent solar concentrators based on all-inorganic perovskite quantum dots
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2018 (English)In: Physica. B, Condensed matter, ISSN 0921-4526, E-ISSN 1873-2135, Vol. 548, p. 53-57Article in journal (Refereed) Published
Abstract [en]

Luminescent solar concentrator (LSC) devices emerge as a promising technology to reduce the cost of electricity generated by photovoltaic solar cells. Here, we demonstrate the detailed fabrication process of non-crystalline LSC prototype devices based on all-inorganic perovskite quantum dots (QDs) for the first time. The as-prepared all-inorganic perovskite QDs show many advantages, such as tunable absorption spectrum over the entire visible spectral region, high photoluminescence (PL) quantum yield (QY) up to 50%, and narrow emission line widths with FWHM (full width at half maximum) of 17–26 nm, which may greatly improve the optical efficiency of LSC prototype devices. On the optimal doping concentrations, Monte Carlo ray-tracing simulations indicate the LSC prototype devices have an extremely high average optical efficiency, which is 1.22% for CsPbCl3 QDs, 5.43% for CsPbBr3 QDs, and 7.39% for CsPbI3 QDs, respectively. We anticipate these potential high-efficiency LSC prototype devices based on perovskite QDs will shed light on future research of large-scale and high-performance LSCs applications.

Place, publisher, year, edition, pages
Elsevier B.V. , 2018. Vol. 548, p. 53-57
Keywords [en]
Luminescence, Monte Carlo simulation, Optical efficiency, Photonic device, Quantum dots, Absorption spectroscopy, Bromine compounds, Chlorine compounds, Efficiency, Intelligent systems, Iodine compounds, Lead compounds, Monte Carlo methods, Nanocrystals, Perovskite, Photonic devices, Ray tracing, Solar cells, Solar concentrators, Solar power generation, Cost of electricity, Fabrication process, Luminescent solar concentrators, Monte-Carlo ray tracing, Photovoltaic solar cells, Prototype devices, Visible spectral regions, Semiconductor quantum dots
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-236621DOI: 10.1016/j.physb.2018.08.021ISI: 000443823900007Scopus ID: 2-s2.0-85052197998OAI: oai:DiVA.org:kth-236621DiVA, id: diva2:1263113
Note

Export Date: 22 October 2018; Article; CODEN: PHYBE; Correspondence Address: Zhang, X.; Faculty of Electrical Engineering and Computer Science, Ningbo UniversityChina; email: zhangxiaowei@nbu.edu.cn; Funding details: Y201737316; Funding details: 182102410093; Funding details: Ningbo University; Funding details: 61735008, NSFC, National Natural Science Foundation of China; Funding details: 61704094, NSFC, National Natural Science Foundation of China; Funding details: 11774155, NSFC, National Natural Science Foundation of China; Funding details: 61474068, NSFC, National Natural Science Foundation of China; Funding details: 2013CB632101, NSFC, National Natural Science Foundation of China; Funding text: This work was supported by National Natural Science Foundation of China ( 61704094 , 61735008 , and 11774155 and 61474068 ), 973 Program ( 2013CB632101 ), Research Foundation of Education Bureau of Zhejiang Province ( Y201737316 ), International Collaborative Program of Henan Province Grant ( 182102410093 ), and K. C. Wong Magna Fund in Ningbo University . QC 20181114

Available from: 2018-11-14 Created: 2018-11-14 Last updated: 2018-11-14Bibliographically approved

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