Incorporating Daylight in buildings: a prediction approach using low- cost sky-luminance measurement device

Maskarenj, Marshal;Banerjee, Rangan;Ghosh, PC
(2019) International Conference on Computational Intelligence and Internet of Things — Location: NIT Agartala, India

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Building design optimization needs information of dynamic angular sky-luminance distribution, through measurement or models, for simulating indoor illuminance. Most simulation packages use standard sky-types of the established Commission International de l'Eclairage (CIE) sky-models for calculating sky-luminance data. However, owing to dynamic conditions of sky, there is a need for more realistic sky-data incorporating solar contribution, as compared to standard overcast skies. This paper presents a low-cost device for measuring angular sky-luminance distribution, and compares the measured datasets with established CIE standard skies. Proposed calibrated Light Dependent Resistor based device is used to measure the sky-luminance at various angles over time, and statistical analysis is performed on the measured datasets to determine the frequency of occurrence of various sky-types. Indoor predictions based on various datasets are calculated to assess accuracy of closest determined sky-type, and the applicability of the device for predicting indoor illuminance is demonstrated.
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Maskarenj, M., Banerjee, R., & Ghosh, P. (2019). Incorporating Daylight in buildings: a prediction approach using low- cost sky-luminance measurement device. International Conference on Computational Intelligence and Internet of Things. Published. International Conference on Computational Intelligence and Internet of Things, NIT Agartala, India. https://hdl.handle.net/2078.5/104340 (Original work published 2019)