Thermal comfort and indoor air quality analysis of a lowenergy cooling windcatcher

被引：9

作者：

Calautit, John Kaiser ^{[1
]}

Aquino, Angelo I. ^{[1
]}

Shahzad, Sally ^{[2
]}

Nasir, Diana S. N. M. ^{[1
]}

Hughes, Ben Richard ^{[1
]}

机构：

[1] Univ Sheffield, Dept Mech Engn, Sheffield S10 2TN, S Yorkshire, England

[2] Univ Derby, Sch Engn & Technol, Derby DE22 3AW, England

来源：

8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016) | 2017年 / 105卷

关键词：

Built Environment; Computational Fluid Dynamics (CFD); Cooling; Energy; Natural Ventilation; COMMERCIAL WIND TOWERS; VENTILATION PERFORMANCE; NATURAL VENTILATION; CFD; TUNNEL;

D O I：

10.1016/j.egypro.2017.03.634

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The aim of this work was to investigate the performance of a roof-mounted cooling windcatcher integrated with heat pipes using Computational Fluid Dynamics (CFD) and field test analysis. The windcatcher model was incorporated to a 5m x 5m x3 m test room model. The study employed the CFD code FLUENT 15 with the standard k-epsilon model to conduct the steady- state RANS simulation. The numerical model provided detailed analysis of the airflow and temperature distribution inside the test room. The CO2 concentration analysis showed that the system was capable of delivering fresh air inside the space and lowering the CO2 levels. The thermal comfort was calculated using the Predicted Mean Vote ( PMV) method. The PMV values ranged between + 0.48 to + 0.99 and the average was + 0.85 ( slightly warm). Field test measurements were carried out in the Ras-Al-Khaimah (RAK), UAE during the month of September. Numerical model was validated using experimental data and good agreement was observed between both methods of analysis. (C) 2016 The Authors. Published by Elsevier

引用

页码：2865 / 2870

页数：6

共 9 条

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