A Parametric Study and Optimization of an Air Conditioning System for a Heat-Loaded Room
Optimization of an air conditioning system is critical in terms of the transient and steady state behavior of the air distribution along the room and the temperature of the equipment themselves. In this paper, three computational techniques, namely, the standard k-ε, RNG k-ε, and the k-ω model, are...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/2385691 |
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doaj-585c20a7822c43acb46b7e7ce9ef16af2020-11-24T22:31:23ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/23856912385691A Parametric Study and Optimization of an Air Conditioning System for a Heat-Loaded RoomQinghe Yao0Hang Bai1Trevor Hocksun Kwan2Kiwamu Kase3School of Engineering, Sun Yat-Sen University, 510275, Guangzhou, ChinaSchool of Engineering, Sun Yat-Sen University, 510275, Guangzhou, ChinaSchool of Engineering, Sun Yat-Sen University, 510275, Guangzhou, ChinaAdvanced Photonics Technology Development Group, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, JapanOptimization of an air conditioning system is critical in terms of the transient and steady state behavior of the air distribution along the room and the temperature of the equipment themselves. In this paper, three computational techniques, namely, the standard k-ε, RNG k-ε, and the k-ω model, are used to numerically simulate and determine the air distribution in an air-conditioned room. The simulation results for all three methods are verified via a comparison with an experiment involving a room that contains a computer server which generates up to 6 kW of heat. In doing so and by additionally performing an error analysis, it is determined that the k-ω model produces the most accurate results. The results also indicated that the direction of air supply from the air conditioners has a strong impact on the velocity field and temperature distribution along the room and on the computer server. Hence, many candidate directions of air supply options were selected for study and by conducting a performance evaluation in terms of air temperature around the server, the optimal solution was obtained.http://dx.doi.org/10.1155/2018/2385691 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qinghe Yao Hang Bai Trevor Hocksun Kwan Kiwamu Kase |
spellingShingle |
Qinghe Yao Hang Bai Trevor Hocksun Kwan Kiwamu Kase A Parametric Study and Optimization of an Air Conditioning System for a Heat-Loaded Room Mathematical Problems in Engineering |
author_facet |
Qinghe Yao Hang Bai Trevor Hocksun Kwan Kiwamu Kase |
author_sort |
Qinghe Yao |
title |
A Parametric Study and Optimization of an Air Conditioning System for a Heat-Loaded Room |
title_short |
A Parametric Study and Optimization of an Air Conditioning System for a Heat-Loaded Room |
title_full |
A Parametric Study and Optimization of an Air Conditioning System for a Heat-Loaded Room |
title_fullStr |
A Parametric Study and Optimization of an Air Conditioning System for a Heat-Loaded Room |
title_full_unstemmed |
A Parametric Study and Optimization of an Air Conditioning System for a Heat-Loaded Room |
title_sort |
parametric study and optimization of an air conditioning system for a heat-loaded room |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2018-01-01 |
description |
Optimization of an air conditioning system is critical in terms of the transient and steady state behavior of the air distribution along the room and the temperature of the equipment themselves. In this paper, three computational techniques, namely, the standard k-ε, RNG k-ε, and the k-ω model, are used to numerically simulate and determine the air distribution in an air-conditioned room. The simulation results for all three methods are verified via a comparison with an experiment involving a room that contains a computer server which generates up to 6 kW of heat. In doing so and by additionally performing an error analysis, it is determined that the k-ω model produces the most accurate results. The results also indicated that the direction of air supply from the air conditioners has a strong impact on the velocity field and temperature distribution along the room and on the computer server. Hence, many candidate directions of air supply options were selected for study and by conducting a performance evaluation in terms of air temperature around the server, the optimal solution was obtained. |
url |
http://dx.doi.org/10.1155/2018/2385691 |
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