Efficiency Enhancement on Thermal Comfort Assessment of Indoor Space with Air-Conditioner Using Computational Analysis

Thermal comfort providing is one of the biggest uses of energy in building. For giving better human comfort, the suitable operation conditions of air-conditioner are the most important. The quick and right approach is necessary. In this paper, a small office is studied to improve office staff stayin...

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Main Authors: Yu-Tuan Chou, Shao-Yi Hsia, Bi-Wen Lee
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2014/739619
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spelling doaj-2c3a31a2e36d4f048a6f7c2a435770c22020-11-25T00:22:34ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472014-01-01201410.1155/2014/739619739619Efficiency Enhancement on Thermal Comfort Assessment of Indoor Space with Air-Conditioner Using Computational AnalysisYu-Tuan Chou0Shao-Yi Hsia1Bi-Wen Lee2Department of Applied Geoinformatics, Chia Nan University of Pharmacy & Science, Tainan City 717, TaiwanDepartment of Mechanical & Automation Engineering, Kao Yuan University, Kaohsiung City 821, TaiwanDepartment of Tourism Management, Shih Chien University, Kaohsiung City 845, TaiwanThermal comfort providing is one of the biggest uses of energy in building. For giving better human comfort, the suitable operation conditions of air-conditioner are the most important. The quick and right approach is necessary. In this paper, a small office is studied to improve office staff staying for a long period of time and achieve the thermal comfort environment for reducing energy consumption. Commercial software, Solidworks, is utilized for modeling the facilities and the Flow Simulation module for analyzing the air properties of the indoor space. Four types of air-conditioner operation are applied to set the simulated conditions, including exterior temperature, outlet temperature and wind speed of air-conditioner, and location of air-conditioner. Predicted mean vote (PMV) and predicted percent dissatisfied (PPD) at specific office areas are further acquired through dynamic anthropometry. For seeking the optimal control factors, both of the full factorial method and Taguchi method are utilized to obtain the PMV of specified location. The analyzed result shows the evaluation speed of indoor thermal comfort by Taguchi method is faster than the full-factorial method. It is concluded that software simulation with Taguchi method shows the successful implementation and higher efficiency for thermal comfort assessment.http://dx.doi.org/10.1155/2014/739619
collection DOAJ
language English
format Article
sources DOAJ
author Yu-Tuan Chou
Shao-Yi Hsia
Bi-Wen Lee
spellingShingle Yu-Tuan Chou
Shao-Yi Hsia
Bi-Wen Lee
Efficiency Enhancement on Thermal Comfort Assessment of Indoor Space with Air-Conditioner Using Computational Analysis
Mathematical Problems in Engineering
author_facet Yu-Tuan Chou
Shao-Yi Hsia
Bi-Wen Lee
author_sort Yu-Tuan Chou
title Efficiency Enhancement on Thermal Comfort Assessment of Indoor Space with Air-Conditioner Using Computational Analysis
title_short Efficiency Enhancement on Thermal Comfort Assessment of Indoor Space with Air-Conditioner Using Computational Analysis
title_full Efficiency Enhancement on Thermal Comfort Assessment of Indoor Space with Air-Conditioner Using Computational Analysis
title_fullStr Efficiency Enhancement on Thermal Comfort Assessment of Indoor Space with Air-Conditioner Using Computational Analysis
title_full_unstemmed Efficiency Enhancement on Thermal Comfort Assessment of Indoor Space with Air-Conditioner Using Computational Analysis
title_sort efficiency enhancement on thermal comfort assessment of indoor space with air-conditioner using computational analysis
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2014-01-01
description Thermal comfort providing is one of the biggest uses of energy in building. For giving better human comfort, the suitable operation conditions of air-conditioner are the most important. The quick and right approach is necessary. In this paper, a small office is studied to improve office staff staying for a long period of time and achieve the thermal comfort environment for reducing energy consumption. Commercial software, Solidworks, is utilized for modeling the facilities and the Flow Simulation module for analyzing the air properties of the indoor space. Four types of air-conditioner operation are applied to set the simulated conditions, including exterior temperature, outlet temperature and wind speed of air-conditioner, and location of air-conditioner. Predicted mean vote (PMV) and predicted percent dissatisfied (PPD) at specific office areas are further acquired through dynamic anthropometry. For seeking the optimal control factors, both of the full factorial method and Taguchi method are utilized to obtain the PMV of specified location. The analyzed result shows the evaluation speed of indoor thermal comfort by Taguchi method is faster than the full-factorial method. It is concluded that software simulation with Taguchi method shows the successful implementation and higher efficiency for thermal comfort assessment.
url http://dx.doi.org/10.1155/2014/739619
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AT shaoyihsia efficiencyenhancementonthermalcomfortassessmentofindoorspacewithairconditionerusingcomputationalanalysis
AT biwenlee efficiencyenhancementonthermalcomfortassessmentofindoorspacewithairconditionerusingcomputationalanalysis
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