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Influence of the Meteorological Record Length on the Generation of Representative Weather Files

Author

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  • Michele Libralato

    (Polytechnic Department of Engineering and Architecture, Università degli Studi di Udine, 3100 Udine, Italy)

  • Giovanni Murano

    (Department of Energy, Politecnico di Torino, 10129 Torino, Italy)

  • Alessandra De Angelis

    (Polytechnic Department of Engineering and Architecture, Università degli Studi di Udine, 3100 Udine, Italy)

  • Onorio Saro

    (Polytechnic Department of Engineering and Architecture, Università degli Studi di Udine, 3100 Udine, Italy)

  • Vincenzo Corrado

    (Department of Energy, Politecnico di Torino, 10129 Torino, Italy)

Abstract

Heat and moisture (HM) transfer simulations of building envelopes and whole building energy simulations require adequate weather files. The common approach is to use weather data of reference years constructed from meteorological records. The weather record affects the capability of representing the real weather of the resulting reference years. In this paper the problem of the influence of the length of the records on the representativeness of the reference years is addressed and its effects are evaluated also for the applicative case of the moisture accumulation risk analysis with the Glaser Method and with DELPHIN 6, confirming that records shorter than 10 years could lead to less representative reference years. On the other hand, it is shown that reference years obtained from longer periods are not representative of the most recent years, which present higher dry-bulb air temperatures due to a short-term climate change effect observed in all the considered weather records. An alternative representative year (Moisture Representative Year) to be used in building energy simulations with a strong dependence on moisture is presented.

Suggested Citation

  • Michele Libralato & Giovanni Murano & Alessandra De Angelis & Onorio Saro & Vincenzo Corrado, 2020. "Influence of the Meteorological Record Length on the Generation of Representative Weather Files," Energies, MDPI, vol. 13(8), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:8:p:2103-:d:349359
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    References listed on IDEAS

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    Cited by:

    1. Naga Venkata Sai Kumar Manapragada & Anoop Kumar Shukla & Gloria Pignatta & Komali Yenneti & Deepika Shetty & Bibhu Kalyan Nayak & Venkataramana Boorla, 2022. "Development of the Indian Future Weather File Generator Based on Representative Concentration Pathways," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    2. Michele Libralato & Alessandra De Angelis & Giulia Tornello & Onorio Saro & Paola D’Agaro & Giovanni Cortella, 2021. "Evaluation of Multiyear Weather Data Effects on Hygrothermal Building Energy Simulations Using WUFI Plus," Energies, MDPI, vol. 14(21), pages 1-15, November.
    3. Oluwaseu Kilanko & Sunday O Oyedepo & Joseph O Dirisu & Richard O Leramo & Philip Babalola & Abraham K Aworinde & Mfon Udo & Alexander M Okonkwo & Marvelous I Akomolafe, 2023. "Typical meteorological year data analysis for optimal usage of energy systems at six selected locations in Nigeria," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 18, pages 637-658.
    4. Yuqing Zhang & Bin Li & Luca Caneparo & Qinglin Meng & Weihong Guo & Xiao Liu, 2023. "Physical Environment Study on Social Housing Stock in Italian Western Alps for Healthy and Sustainable Communities," Land, MDPI, vol. 12(7), pages 1-27, July.

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