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Using fuzzy logic technique for inte...

Zhang, Ying.

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Using fuzzy logic technique for integrated building automation system control.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Using fuzzy logic technique for integrated building automation system control./
Author:	Zhang, Ying.
Description:	125 p.
Notes:	Source: Masters Abstracts International, Volume: 46-01, page: 0479.
Contained By:	Masters Abstracts International46-01.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR29179
ISBN:	9780494291795

Using fuzzy logic technique for integrated building automation system control.
Zhang, Ying.

Using fuzzy logic technique for integrated building automation system control. - 125 p.

Source: Masters Abstracts International, Volume: 46-01, page: 0479.

Thesis (M.A.Sc.)--The University of Regina (Canada), 2007.

In this research, an integrated approach that uses the application of fuzzy logic technique has been proposed for Building Automation System Control, in particular for the control of temperature, humidity and lighting in office buildings in order to provide a comfortable environment and achieve energy efficiency simultaneously.

ISBN: 9780494291795Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Using fuzzy logic technique for integrated building automation system control.
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035 $a (UMI)AAIMR29179
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100 1 $a Zhang, Ying. $3 1035770
245 1 0 $a Using fuzzy logic technique for integrated building automation system control.
300 $a 125 p.
500 $a Source: Masters Abstracts International, Volume: 46-01, page: 0479.
502 $a Thesis (M.A.Sc.)--The University of Regina (Canada), 2007.
520 $a In this research, an integrated approach that uses the application of fuzzy logic technique has been proposed for Building Automation System Control, in particular for the control of temperature, humidity and lighting in office buildings in order to provide a comfortable environment and achieve energy efficiency simultaneously.
520 $a Due to the increasing quantity and complexity of building systems in modern structures, the necessity has arisen for a Building Automation System (BAS) with integrated control that will ensure that the systems are working in optimal conditions. However, most systems do not actually maintain a stable and comfortable environment for occupants using conventional control approaches because of the complexity, nonlinearity, and uncertainty of a BAS. In addition, energy may be wasted due to both individual and overlapping control of the building systems.
520 $a This thesis presents a novel integrated approach that uses fuzzy logic control to achieve the above-mentioned objectives. The fuzzy system involves the ability to imitate the control actions of human beings, and provides a means of describing control laws in linguistic form based on if-then rules. Because it provides a direct statement of control behaviors and uses linguistic rules to represent the mapping of the inputs' relation to the output actions, FL is extremely suitable for systems that are too nonlinear or too complex to be able to use conventional approaches.
520 $a Temperature, humidity and lighting are the three most significant parameters for human comfort, and the systems which control them account for most of the energy consumption. Therefore, these parameters, along with other important time and environmental factors, are considered to be the inputs of the fuzzy control system. The outputs are the control levels of the BAS, including heating, cooling, humidifying, dehumidifying, and artificial lighting.
520 $a The simulation results of this research provide both linguistic and numerical control levels as useful and realistic methods of control for related building systems. Therefore, the temperature and relative humidity are kept within the ASHRAE comfort zone, and the lighting level is maintained within the standard ranges. Also, energy consumption reaches a high level of efficiency through the application of this integrated fuzzy control strategy.
590 $a School code: 0148.
650 4 $a Engineering, Electronics and Electrical. $3 626636
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710 2 0 $a The University of Regina (Canada). $3 1017617
773 0 $t Masters Abstracts International $g 46-01.
790 $a 0148
791 $a M.A.Sc.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR29179