Abstract

ARANGO-DIAZ, Lucas; PIDERIT, María Beatriz  and  ORTIZ-CABEZAS, Alejandro. Study of discrepancies in sky types for dynamic daylight analysis according to available climate files. Colombia case. Rev. Arquit. (Bogotá) [online]. 2022, vol.24, n.1, pp.84-97.  Epub Aug 31, 2022. ISSN 1657-0308.  https://doi.org/10.14718/revarq.2022.24.1.4050.

To perform an accurate lighting study, it is essential to know the predominant sky types in a locality, as these are key to estimating the lighting performance of indoor environments. The objective of this research is to analyze the discrepancies in the assessment of the natural light performance of indoor spaces according to the climatic files used and consider the differences in the predominant sky types according to their radiation data. For this purpose, using the Clearness Index, from the All Pérez All-Weather Sky Model, the sky types were estimated and compared from the radiation information of climate files available for thirteen Colombian cities. Additionally, dynamic daylight simulations were performed on hypothetical environments with different climate files. The results of the research show, for each city analyzed, notable differences in the predominant sky types according to the climate file used. These differences resulted in significant discrepancies - in many cases of more than 10% - in the application of dynamic metrics using the climate files available for each city. Although it is not the objective of the research to conclude which of the climate files is more reliable, it does highlight the need for reliable radiation data in the climate files, to favor accuracy in the assessment of the lighting performance of indoor environments through computational simulation.

Keywords : bioclimatic; climate files; dayl.

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