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The colour rendering index and correlated colour temperature of dye-sensitized solar cell for adaptive glazing application

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Journal 01 Mar 2018 United Kingdom Publisher:Elsevier BVJournal:Solar Energy, volume 163, pages 537-544 (issn: 0038-092X,

Authors: Ghosh, A; Selvaraj, P; Sundaram, S; Mallick, TK;

doi: 10.1016/j.solener.2018.02.021

handle: 10871/32522

The colour rendering index and correlated colour temperature of dye-sensitized solar cell for adaptive glazing application

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Abstract

Abstract The colour rendering index (CRI) and correlated colour temperature (CCT) of transmitted daylight through a DSSC glazing is an essential parameter for building interior space comfort. Six small-scale dye-sensitized solar cells (DSSCs) were fabricated by varying TiO2 electrode thickness, which offered luminous transmittance between 0.19 and 0.53. Below 0.5 transmittance, the CRI for this TiO2 electrode based DSSC glazing was less than 80. A strong linear correlation was found between CCT and CRI. The CRI of 53% transparent DSSC glazing had only 2.7% lower CRI than 77% transparent double glazing and 72% transparent vacuum glazing.

Country

United Kingdom

Related Organizations

University of Exeter
United Kingdom

Keywords

Adaptive, 530, CCT, 004, CRI, DSSC, Glazing

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	90
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%