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      Simple correlations between point daylight factor, average daylight factor and vertical daylight factor under all sky conditions and building design implications

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          Abstract

          The customary method for calculating daylight illuminance in a building is the daylight factor approach, which is assumed under the conventional overcast sky. However, such an approach is not flexible enough to predict diffuse illuminance in the presence of non-overcast skies. The daylight factor is invariant to building orientation and cannot take realistic and time-varying climatic conditions into account. Daylight in buildings is estimated using computer simulation techniques. However, full-scale computer simulations can be costly and time-consuming. Practitioners welcome simple calculation aids established via comprehensive analysis. Such easy tools would give building professionals and students basic and concise insight into the independency of different daylight parameters. Recently, daylight factor calculations have been extended to non-overcast skies. It means that the daylight factor approach can be a dynamic metric. This paper presents the calculation of the point daylight factor, the average daylight factor and the vertical daylight factor under all sky conditions, as well as building façade design implications. The performance of the three types of daylight factor for a typical room at various scattering angles is elaborated and evaluated; simple correlations between them are developed.

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                Author and article information

                Contributors
                Journal
                Indoor and Built Environment
                Indoor and Built Environment
                SAGE Publications
                1420-326X
                1423-0070
                July 2022
                March 09 2022
                July 2022
                : 31
                : 6
                : 1700-1714
                Affiliations
                [1 ]Department of Architecture and Civil Engineering, Building Energy Research Group, City University of Hong Kong, Kowloon, Hong Kong
                [2 ]Department of Civil Engineering, Guangzhou University, Guangzhou, P.R. China
                Article
                10.1177/1420326X211061111
                4eb3b4a0-2b91-45e6-98ed-0e709a65f2ca
                © 2022

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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