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Climatic data quality check and performance assessment of EN ISO 15927-2 Cooling Design Days selection method in Italy.

Authors :
Pezzi, Amedeo
Lupato, Giorgio
Manzan, Marco
Murano, Giovanni
Source :
Energy & Buildings. Jan2023, Vol. 278, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Consistent climate data and reliable sizing methods are fundamental for designing Technical Building Systems. This paper addresses both these aspects with reference to the Italian context analyzing 108 different locations. Regarding the climate data, a quality analysis through the application of rules and filters was performed on the locations. The results showed good data quality, with most sites having high percentages of usable material, although highlighting recursive criticalities in the detection of humidity and wind speed parameters. Regarding the sizing methods, a sensitivity analysis was carried on for the European standard EN ISO 15927-2 to evaluate its performances in selecting the Cooling Design Days in the 108 locations. The analysis highlighted great differences in terms of chosen Design Days when using different climatic parameters, showing at the same time a negligible influence of the wind speed on the selection process. Furthermore, a sizing process for a test building applied to the 108 locations was carried on by using the Cooling Design Days. The results highlighted that the Design Days obtained through the EN ISO method often give counterintuitive sizing outputs, even obtaining higher required powers for lower risk levels, the opposite of how it should be. This implies that a designer should be very careful in evaluating which parameters to use in the Design Day selection and if the output sizing powers obtained through them are reliable for its particular sizing process. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03787788
Volume :
278
Database :
Academic Search Index
Journal :
Energy & Buildings
Publication Type :
Academic Journal
Accession number :
160436592
Full Text :
https://doi.org/10.1016/j.enbuild.2022.112668