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Impact of exterior convective heat transfer coefficient models on the energy demand prediction of buildings with different geometry
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 H b (building height) > W b (building width), buildings with H b < W b and buildings with H b = W b. Six commonly used CHTC models and a new generalized CHTC model are considered. The generalized CHTC model is expressed as a function of H b and W b. 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.
Impact of exterior convective heat transfer coefficient models on the energy demand prediction of buildings with different geometry
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 H b (building height) > W b (building width), buildings with H b < W b and buildings with H b = W b. Six commonly used CHTC models and a new generalized CHTC model are considered. The generalized CHTC model is expressed as a function of H b and W b. 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.
Impact of exterior convective heat transfer coefficient models on the energy demand prediction of buildings with different geometry
Iousef, Samy (author) / Montazeri, Hamid (author) / Blocken, Bert (author) / van Wesemael, Pieter (author)
Building Simulation ; 12 ; 797-816
2019-04-04
20 pages
Article (Journal)
Electronic Resource
English
convective heat transfer coefficient (CHTC) , building geometry , energy demand prediction , computational fluid dynamics (CFD) , building performance simulation (BPS) Engineering , Building Construction and Design , Engineering Thermodynamics, Heat and Mass Transfer , Atmospheric Protection/Air Quality Control/Air Pollution , Monitoring/Environmental Analysis
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