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nZEB:bridging the gap between design forecast and actual performance data

能源与人工环境(英文) 2022年第1期3卷 16-29页

作者： N.Aste R.S.Adhikari M.Buzzetti C.Del Pero H.E.Huerto-Cardenas F.Leonforte A.Miglioli Politecnico di Milano-Dept.of Architecture Built Environment and Construction EngineeringVia Ponzio 3120133 MilanoItaly

The nZEB objectives have raised the standard of building performance and changed the way in which buildings are designed and *** energy dynamic simulation tools are potentially the most suitable way for accurately evaluating and forecasting the thermal performance,they need several data inputs and user’s knowledge that can affect the reliability of the *** is precisely these two aspects that proved to be particularly critical,since the reliability of the ICT calculation tools has been widely proven in recent ***,in order to foster credibility in sustainable architecture,bridging the gap between predicted and measured performance is pivotal to boost the building market towards energy efficiency and provide reliable data to inhabitant,investors and policy *** present research aims to identify and quantify the main factors that affect the energy performance gap through a detailed energy analysis carried out on a case study,which can be considered one of the first nearly zero energy residential complex built in *** on the analysis,the study identifies the main causes of the deviation between the calculated and measured data and demonstrates how it is possible to achieve very reliable models and,therefore,real *** the procedure traces a classic model calibration scheme,actually it consists of a verification of possible downstream errors mainly due to human factors,such as the provision of incorrect technical data or inappropriate *** observations on the technical,management and regulatory gaps that may generate these errors are reported at the end of the study,together with practical suggestions that can provide effective solutions.

关键词： nZEB energy performance gap Building energy dynamic simulation Post occupancy evaluation Model calibration GIGO

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