The role of weather data files in Climate-based Daylight Modeling

Alessia Pedace, Alessia Pedace, Francesca Fragliasso, Laura Bellia

    Risultato della ricerca: Article

    16 Citazioni (Scopus)

    Abstract

    This paper illustrates the results of daylight simulations of a simple standalone office carried out using different weather data files (IWEC, Meteonorm, Satel-Light and TRY), for five European locations (Copenhagen, London, Milan, Nancy, Rome). The aim was to analyze the impact of choosing one weather file or another on the prediction of daylight availability in an indoor environment. Results were analyzed both in terms of Annual and Monthly Light Exposures and dynamic daylight performance metrics. It was demonstrated that IWEC, Meteonorm and Satel-Light weather files determine similar outcomes, instead TRY weather data always produces considerably lower values. Moreover the differences between the results obtained with the different weather files appear more significant considering Annual and Monthly Light Exposures, whereas they decrease when analyzing illuminances with a statistical approach (DA, DAcon, UDI).
    Lingua originaleEnglish
    pagine (da-a)169-182
    Numero di pagine14
    RivistaDefault journal
    Volume112
    Stato di pubblicazionePublished - 2015

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    Daylight simulation
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    All Science Journal Classification (ASJC) codes

    • Renewable Energy, Sustainability and the Environment
    • Materials Science(all)

    Cita questo

    Pedace, A., Pedace, A., Fragliasso, F., & Bellia, L. (2015). The role of weather data files in Climate-based Daylight Modeling. Default journal, 112, 169-182.

    The role of weather data files in Climate-based Daylight Modeling. / Pedace, Alessia; Pedace, Alessia; Fragliasso, Francesca; Bellia, Laura.

    In: Default journal, Vol. 112, 2015, pag. 169-182.

    Risultato della ricerca: Article

    Pedace, A, Pedace, A, Fragliasso, F & Bellia, L 2015, 'The role of weather data files in Climate-based Daylight Modeling', Default journal, vol. 112, pagg. 169-182.
    Pedace A, Pedace A, Fragliasso F, Bellia L. The role of weather data files in Climate-based Daylight Modeling. Default journal. 2015;112:169-182.
    Pedace, Alessia ; Pedace, Alessia ; Fragliasso, Francesca ; Bellia, Laura. / The role of weather data files in Climate-based Daylight Modeling. In: Default journal. 2015 ; Vol. 112. pagg. 169-182.
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    abstract = "This paper illustrates the results of daylight simulations of a simple standalone office carried out using different weather data files (IWEC, Meteonorm, Satel-Light and TRY), for five European locations (Copenhagen, London, Milan, Nancy, Rome). The aim was to analyze the impact of choosing one weather file or another on the prediction of daylight availability in an indoor environment. Results were analyzed both in terms of Annual and Monthly Light Exposures and dynamic daylight performance metrics. It was demonstrated that IWEC, Meteonorm and Satel-Light weather files determine similar outcomes, instead TRY weather data always produces considerably lower values. Moreover the differences between the results obtained with the different weather files appear more significant considering Annual and Monthly Light Exposures, whereas they decrease when analyzing illuminances with a statistical approach (DA, DAcon, UDI).",
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    AB - This paper illustrates the results of daylight simulations of a simple standalone office carried out using different weather data files (IWEC, Meteonorm, Satel-Light and TRY), for five European locations (Copenhagen, London, Milan, Nancy, Rome). The aim was to analyze the impact of choosing one weather file or another on the prediction of daylight availability in an indoor environment. Results were analyzed both in terms of Annual and Monthly Light Exposures and dynamic daylight performance metrics. It was demonstrated that IWEC, Meteonorm and Satel-Light weather files determine similar outcomes, instead TRY weather data always produces considerably lower values. Moreover the differences between the results obtained with the different weather files appear more significant considering Annual and Monthly Light Exposures, whereas they decrease when analyzing illuminances with a statistical approach (DA, DAcon, UDI).

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