4.7 Article

Questionnaires and simulations to assess daylighting in Italian university classrooms for IEQ and energy issues

Journal

ENERGY AND BUILDINGS
Volume 252, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2021.111433

Keywords

DAYKE-Italy; DAYKE project; Questionnaire survey; Daylight in classrooms; Daylight metrics; Equivalent melanopic lux; Statistical analyses

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The DAYKE-Italy project presented findings from a study on daylighting in classrooms at five Italian universities. The research combined student surveys and numerical simulations to investigate daylight perception and objective metrics, showing significant correlations between subjective evaluations and metrics such as average daylight factor and annual light exposure.
Results from the DAYKE-Italy project are presented. An investigation on daylighting in eight classrooms in five Italian universities was carried out through a combined approach: an ad-hoc survey administered to students to investigate how they perceive daylight in classroom, and numerical simulations (DIVA + ALFA) to calculate a set of objective metrics (daylight, circadian, and energy-related). A sample of 542 questionnaires was collected through two sessions and the subjective judgments were correlated to objective metrics. Results from descriptive and statistical analyses showed: (i) the correlation was significant for all daylight metrics: among them, average daylight factor and annual light exposure performed higher correlations compared to daylight autonomy, spatial daylight autonomy and useful daylight illuminance; (ii) rooms with a scarce or an optimal daylight provision (according to standards) were rated with comparable subjective score; (iii) the equivalent melanopic lux showed a higher correlation than daylight metrics based on the horizontal workplane; (iv) energy saving up to 50% can be achieved in the presence of high daylight provision and through daylight responsive controls; however, a relamping of fluorescent systems with LED system is recommended to optimize the consumption; furthermore, estimated saving correlated significantly with objective metrics. (c) 2021 Elsevier B.V. All rights reserved.

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