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Abstract
Double skin façades (DSFs) are considered façade technologies that can reduce energy use and improve occupant comfort due to their advanced features. Their design requires reliable simulations due to their complex thermophysical behaviour, which are often carried out by practitioners using building energy software (BES) tools. Using an exhaust-air façade (also called climate façade) case study, the paper analyses the sensitivity of in-built DSF models in two popular BES tools (EnergyPlus and IDA ICE) for different orientations and climates. Small variations in input variables were considered to identify the parameters that the designer should pay most attention to during the design of the DSF according to different performance indicators. The results show that, regardless of the climate or orientation, the optical properties of the system (glazing and shading) were the most important in determining its performance, followed by the thermal properties of the glazing, while the geometrical, airflow and frame characteristics were less relevant. The model validation process also showed how differences in the in-built models (i.e. the use of a capacitance node for the glazed layers) lead to a difference in the reliability of the two BES tools.
Highlights
Double skin façades (DSFs) are building envelope systems that can reduce energy use and improve occupant comfort due to their advanced characteristics
The research activity presented in this paper investigates the sensitivity of selected energy and comfort performance indicators to the DSF design parameters in two Building Energy Software (BES) tools
In the Background section, we provide an overview of the current knowledge available in the literature, including previous activities where DSF systems have been modelled with BES tools and a sensitivity analysis to determine their key design parameters
Summary
Double skin façades (DSFs) are building envelope systems that can reduce energy use and improve occupant comfort due to their advanced characteristics. The parametric analyses typically cover input parameters that illustrate different design choices and make use of different methodologies (2D analysis [21,28], energy modelling [12,13,24,27,29], CFD [19,26], experiments [19], etc.) and boundary conditions. This variation of features, methods, and techniques makes it difficult to come to a general conclusion on the importance of one parameter over another. While it is typical to limit the scope of the analyses to the South orientation, it has been seen previously that the summer overheating risk in the cavity is the highest on the West orientation [27]
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