Incorporating Daylight in Buildings: A Prediction Approach Using Lowcost Sky-Luminance Measurement Device

8 Pages Posted: 19 Mar 2019

See all articles by Marshal S Maskarenj

Marshal S Maskarenj

Indian Institute of Technology (IIT), Bombay - Department of Energy Science and Engineering

Rangan Banerjee

Indian Institute of Technology (IIT), Bombay - Department of Energy Science and Engineering

Prakash C Ghosh

Indian Institute of Technology (IIT), Bombay - Department of Energy Science and Engineering

Date Written: March 18, 2019

Abstract

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) skymodels 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.

Keywords: Sky scanner, Sky luminance, Building daylighting, CIE sky models, Indoor daylight distribution, Daylight modeling

Suggested Citation

S Maskarenj, Marshal and Banerjee, Rangan and C Ghosh, Prakash, Incorporating Daylight in Buildings: A Prediction Approach Using Lowcost Sky-Luminance Measurement Device (March 18, 2019). International Journal of Computational Intelligence & IoT, Vol. 1, No. 1, 2018. Available at SSRN: https://ssrn.com/abstract=3354381

Marshal S Maskarenj (Contact Author)

Indian Institute of Technology (IIT), Bombay - Department of Energy Science and Engineering ( email )

Mumbai
India

Rangan Banerjee

Indian Institute of Technology (IIT), Bombay - Department of Energy Science and Engineering ( email )

Mumbai
India

Prakash C Ghosh

Indian Institute of Technology (IIT), Bombay - Department of Energy Science and Engineering ( email )

Mumbai
India

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