کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
243952 501940 2011 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Capacitive effect on the heat transfer through building glazing systems
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
Capacitive effect on the heat transfer through building glazing systems
چکیده انگلیسی

In recent years, several intensive studies have been carried out in order to reduce the energy consumption of buildings. One solution lies on whole building energy simulation that permits to enable the heat (and moisture) transfer through the building envelope and, consequently, is a way to understand how to improve the building performance. This article aims to analyze the modeling level needed to successfully evaluate the heat transfer through glazing parts of windows in such whole-building simulations as it is well-known that windows are the thermally weakest elements of the building envelope.In this way, predictions of glazing surface and zone air temperatures and energy demand obtained using both resistive and finite-volume based models are compared. Results show that for common window glazing structure and outdoor/indoor perturbations, differences between the two models are small. However, in the case of glazing presenting higher solar absorption and thermal inertia, the use of the finite-volume based model is required to accurately predict the glazing internal surface temperature and avoid errors up to 50% for energy consumption in the studied case. Those results put into relief a clear limitation of current whole energy simulation programs to correctly predict the energy consumption of buildings where high thermal inertia double- or triple-glazing windows are installed.


► We analyze the modeling level needed to evaluate the heat transfer through windows.
► Simplified resistive and finite-volume based models are compared.
► Differences between the two models are small in common window glazing structure.
► Glazing systems with higher solar absorption require accurate temperature prediction.
► The model selection can avoid errors up to 50% for energy consumption simulations.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 88, Issue 12, December 2011, Pages 4310–4319
نویسندگان
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