Multi-year and reference year weather data for building energy labelling in north Italy climates

• Published in: Energy and buildings Vol. 72; pp. 62 - 72
• Main Authors: Pernigotto, Giovanni, Prada, Alessandro, Cóstola, Daniel, Gasparella, Andrea, Hensen, Jan L.M.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier B.V 01.04.2014; Elsevier
• Subjects: Applied sciences; Building energy rating; Building energy simulation; Building technical equipments; Buildings; Buildings. Public works; Climatology and bioclimatics for buildings; EN ISO 15927-4:2005; Energy management and energy conservation in building; Environmental engineering; Exact sciences and technology; Multi-year analysis; Test reference year; Types of buildings; Italy; Europe; Multi-year analysis; Test reference year; Building energy rating; EN ISO 15927-4:2005; Building energy simulation; Performance evaluation; Energy analysis; Data analysis; Climate; Sensitivity analysis; Buildings; Multiyear variation; Weather; Simulation; ISO standard
• ISSN: 0378-7788
• DOI: 10.1016/j.enbuild.2013.12.012

•The EN ISO 15927-4:2005 reference year is assessed in north Italy climates.•We compare heating and cooling needs with reference and multi-year simulations.•The representativeness of the reference year weather file is investigated.•The building envelope energy ratings are studied with a proposed classification.•We identify building envelope characteristics sensitive to weather variability. Representative weather information is essential for a reliable building energy performance evaluation. Even if detailed energy analyses can be carried out considering the multi-year weather data, generally a single reference year is adopted. Thus, this artificial year has to correctly approximate the typical multi-year conditions. In this work, we investigate the representativeness of the method described in the technical standard EN ISO 15927-4:2005 for the development of reference years. Energy performance of a set of different simplified buildings is simulated for 5 north Italy locations using TRNSYS. The energy needs computed using the reference year are compared to those of a multi-year simulation. The annual variability of energy results for the studied thermal zones is investigated, paying attention to its effects on the building envelope energy ratings according to a proposed classification. Also, those configurations more influenced by the annual weather changes are identified by means of statistical indexes. The analyses demonstrate that the representativeness of the reference year results can vary significantly in the considered locations—and, consequently, the accuracy in building energy assessment and classification can be reduced, especially for some building envelope configurations.