کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4914266 | 1428956 | 2017 | 28 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A semi-dynamic heat transfer model of hollow block ventilated wall for thermal performance prediction
ترجمه فارسی عنوان
مدل انتقال حرارت نیمه پویا از دیواره تهویه بلوک توخالی برای پیش بینی عملکرد حرارتی
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کلمات کلیدی
بلوک توخالی تهویه دیوار، انتقال گرما، شار حرارتی، عملکرد حرارتی، دمای سطح،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
The hollow block ventilated wall is a new kind of ventilated wall, the exhaust air of HVAC system is used as the supply air to flow through the cavity of this wall in this paper. The heat or cool storage in the wall is reduced by using the heat recovery technology; the temperature of internal surface is lowered in summer and increased in winter, and the human thermal comfort is enhanced. A semi-dynamic heat transfer model of the ventilated wall is presented for thermal performance prediction. The dynamic optimized resistance-capacitance (ORC) model and the number of transfer units (NTU) model are joined together to develop the semi-dynamic heat transfer model of this ventilated wall. The experimental study is carried out for validating the semi-dynamic heat transfer model. The maximum relative error is 4.3% for mean internal and external surface temperatures, and it is 2.6% for the outlet air temperature of the cavity. The heat transfer model established for hollow block ventilated wall is fairly reasonable and possesses high accuracy. This model can be used to predict the surface temperature of the hollow block ventilated wall and the heat flux removed by the airflow in the cavity for performance evaluation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy and Buildings - Volume 134, 1 January 2017, Pages 285-294
Journal: Energy and Buildings - Volume 134, 1 January 2017, Pages 285-294
نویسندگان
Jinghua Yu, Junchao Huang, Xinhua Xu, Hong Ye, Chao Xiong, Jinbo Wang, Liwei Tian,