Estudio de las discrepancias en los tipos de cielo para análisis dinámico de la luz natural según los archivos climáticos disponibles. Caso Colombia

Abstract

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 Daylight Computational simulation

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