Abstract

Accurate models for exterior convective heat transfer coefficients (CHTC) are important for predicting building energy demand. A detailed review of the literature indicates that existing CHTC models take into account the impact of building geometry either incompletely, or not at all. To the best of our knowledge, research on the impact of exterior CHTC models on the predicted energy performance of buildings with different geometry has not yet been performed. This paper, therefore, investigates the influence of CHTC models on the calculated energy demand of buildings with varying geometry. Building energy simulations are performed for three groups: buildings with Hb (building height) > Wb (building width), buildings with Hb < Wb and buildings with Hb = Wb. Six commonly used CHTC models and a new generalized CHTC model are considered. The generalized CHTC model is expressed as a function of Hb and Wb. The simulations are performed for low and high thermal resistances of the building envelope. The results show that the different CHTC models provide significantly different predictions for the building energy demand. While for annual heating demand, deviations of −14.5% are found, for the annual cooling demand a maximum deviation of +42.0% is obtained, compared to the generalized CHTC model. This study underlines the need for the CHTC models to consider building geometry in their expressions, especially for high-rise buildings. For low-rise builgings, the observed deviations between the existing and the generalized CHTC model are less pronounced.

Highlights

  • Building energy simulation (BES) programs are widely used for predicting the energy demand and energy consumption of buildings (Lam et al 2008)

  • The ratio convective heat transfer coefficients (CHTC)/(U100.84 ) is nearly independent of U10, which allows the expression between CHTC, H and W to be formed based on simulations for a single value of the reference wind speed U10

  • The CHTC model by Montazeri & Blocken, in which the impact of building geometry is taken into account, is considered as the reference model

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Summary

Introduction

Building energy simulation (BES) programs are widely used for predicting the energy demand and energy consumption of buildings (Lam et al 2008) They provide support for design and development of innovative heating, ventilation and air conditioning (HVAC) concepts under a range of dynamic operating conditions, increasing the effectiveness of the whole engineering design process (Malkawi and Augenbroe 2003). In BES programs, the dynamic energy processes in buildings are described by the combination of several first-principle and empirical approaches (Clarke 2001). The accuracy of these approaches can, influence the performance gap between building design and operation (Hensen and Lamberts 2011; Obyn and van Moeseke 2015).

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