We typically rely on fictitious years of weather data, i.e., reference years, to carry out energy analyses in representative climate conditions, since multi-year assessments of the building energy performance are computationally demanding and complete weather data series are available for a limited number of locations. In order to investigate this topic, in this work we quantified the extent to which the type of input weather file (TMY, TRY, etc.) can affect the outcome of a climate classification and building performance simulations. We focused on the case of Brazil by analyzing 480 locations and developing different reference weather files.

Impact of the Type of Weather Files on the Outcome of a Weather-Based Climate Classification: The Case of Brazil / Da Silva, Mario A.; Pernigotto, Giovanni; Prada, Alessandro; Gasparella, Andrea; Carlo, Joyce C.. - 553 LNCE:(2025), pp. 258-263. ( 9th International Building Physics Conference, IBPC 2024 can 2024) [10.1007/978-981-97-8309-0_34].

Impact of the Type of Weather Files on the Outcome of a Weather-Based Climate Classification: The Case of Brazil

Alessandro Prada;
2025-01-01

Abstract

We typically rely on fictitious years of weather data, i.e., reference years, to carry out energy analyses in representative climate conditions, since multi-year assessments of the building energy performance are computationally demanding and complete weather data series are available for a limited number of locations. In order to investigate this topic, in this work we quantified the extent to which the type of input weather file (TMY, TRY, etc.) can affect the outcome of a climate classification and building performance simulations. We focused on the case of Brazil by analyzing 480 locations and developing different reference weather files.
2025
Lecture Notes in Civil Engineering
152 BEACH ROAD, #21-01/04 GATEWAY EAST, SINGAPORE, 189721, SINGAPORE
Springer Science and Business Media Deutschland GmbH
9789819783083
9789819783090
Impact of the Type of Weather Files on the Outcome of a Weather-Based Climate Classification: The Case of Brazil / Da Silva, Mario A.; Pernigotto, Giovanni; Prada, Alessandro; Gasparella, Andrea; Carlo, Joyce C.. - 553 LNCE:(2025), pp. 258-263. ( 9th International Building Physics Conference, IBPC 2024 can 2024) [10.1007/978-981-97-8309-0_34].
Da Silva, Mario A.; Pernigotto, Giovanni; Prada, Alessandro; Gasparella, Andrea; Carlo, Joyce C.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/466701
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