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

doi:10.1155/2014/739619

CNU IR > College of Sustainable Environment and Recreation > Dept. of Applied Geoinformatics > Periodical Articles > Item 310902800/28556

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/28556

Title:	Efficiency Enhancement on Thermal Comfort Assessment of Indoor Space with Air-Conditioner Using Computational Analysis
Authors:	Chou, Yu-Tuan Hsia, Shao-Yi Lee, Bi-Wen
Contributors:	應用空間資訊系
Keywords:	OFFICE
Date:	2014
Issue Date:	2015-05-06 21:20:34 (UTC+8)
Publisher:	Hindawi Publishing Corporation
Abstract:	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 formodeling 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.
Relation:	Mathematical Problems In Engineering, 739619
Appears in Collections:	[Dept. of Applied Geoinformatics] Periodical Articles

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