Smart thermal comfort system: a development of the fundamental control algorithm

This paper reports on the development of the fundamental algorithm for a smart thermal comfort system. Using Predictive Mean Vote (PMV) as a means of measuring thermal comfort, this system would able the user to define their own expression towards the surroundings, from slightly warm to slight...

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Main Author:	Abdul Shukor, Shazmin Aniza
Format:	Thesis
Language:	English English English
Published:	2004
Subjects:	TH Building construction
Online Access:	http://eprints.uthm.edu.my/8145/1/24p%20SHAZMIN%20ANIZA%20ABDUL%20SHUKOR.pdf http://eprints.uthm.edu.my/8145/2/SHAZMIN%20ANIZA%20ABDUL%20SHUKOR%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8145/3/SHAZMIN%20ANIZA%20ABDUL%20SHUKOR%20WATERMARK.pdf
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id	my-uthm-ep.8145
record_format	uketd_dc
spelling	my-uthm-ep.81452023-01-17T03:39:18Z Smart thermal comfort system: a development of the fundamental control algorithm 2004-11 Abdul Shukor, Shazmin Aniza TH Building construction TH7005-7699 Heating and ventilation. Air conditioning This paper reports on the development of the fundamental algorithm for a smart thermal comfort system. Using Predictive Mean Vote (PMV) as a means of measuring thermal comfort, this system would able the user to define their own expression towards the surroundings, from slightly warm to slightly cold. Here, the operator only needs to insert its respective value ofPMV (ranging from -1 to + 1) and the system will generate the compressor and fan of the air conditioning system so that it will create a thermally comfortable environment, based on the operator's desires. This differentiates the system with the conventional air conditioning system where the operator needs to set separately fan speed and degree of cooling. The PMV value here will be calculated as input instead of the normal PMV equation where these values depend on the air temperature, relative humidity and air velocity. All these parameters values are set from the standard range allowed by the ISO 7730 of thermal comfort at a workplace for sedentary activity. Since previous researches use PMV as the output value, the help of Microsoft Excel is used to obtain air temperature and air velocity for respective values ofPMV. Finally, the fundamental stage for experimentation step is implemented by building a working region in allowing the PID (Proportional, Integrative, Derivative) controller to control its duty cycle. 2004-11 Thesis http://eprints.uthm.edu.my/8145/ http://eprints.uthm.edu.my/8145/1/24p%20SHAZMIN%20ANIZA%20ABDUL%20SHUKOR.pdf text en public http://eprints.uthm.edu.my/8145/2/SHAZMIN%20ANIZA%20ABDUL%20SHUKOR%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/8145/3/SHAZMIN%20ANIZA%20ABDUL%20SHUKOR%20WATERMARK.pdf text en validuser mphil masters Kolej Universiti Teknologi Tun Hussein Onn Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TH Building construction TH Building construction
spellingShingle	TH Building construction TH Building construction Abdul Shukor, Shazmin Aniza Smart thermal comfort system: a development of the fundamental control algorithm
description	This paper reports on the development of the fundamental algorithm for a smart thermal comfort system. Using Predictive Mean Vote (PMV) as a means of measuring thermal comfort, this system would able the user to define their own expression towards the surroundings, from slightly warm to slightly cold. Here, the operator only needs to insert its respective value ofPMV (ranging from -1 to + 1) and the system will generate the compressor and fan of the air conditioning system so that it will create a thermally comfortable environment, based on the operator's desires. This differentiates the system with the conventional air conditioning system where the operator needs to set separately fan speed and degree of cooling. The PMV value here will be calculated as input instead of the normal PMV equation where these values depend on the air temperature, relative humidity and air velocity. All these parameters values are set from the standard range allowed by the ISO 7730 of thermal comfort at a workplace for sedentary activity. Since previous researches use PMV as the output value, the help of Microsoft Excel is used to obtain air temperature and air velocity for respective values ofPMV. Finally, the fundamental stage for experimentation step is implemented by building a working region in allowing the PID (Proportional, Integrative, Derivative) controller to control its duty cycle.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Abdul Shukor, Shazmin Aniza
author_facet	Abdul Shukor, Shazmin Aniza
author_sort	Abdul Shukor, Shazmin Aniza
title	Smart thermal comfort system: a development of the fundamental control algorithm
title_short	Smart thermal comfort system: a development of the fundamental control algorithm
title_full	Smart thermal comfort system: a development of the fundamental control algorithm
title_fullStr	Smart thermal comfort system: a development of the fundamental control algorithm
title_full_unstemmed	Smart thermal comfort system: a development of the fundamental control algorithm
title_sort	smart thermal comfort system: a development of the fundamental control algorithm
granting_institution	Kolej Universiti Teknologi Tun Hussein Onn
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2004
url	http://eprints.uthm.edu.my/8145/1/24p%20SHAZMIN%20ANIZA%20ABDUL%20SHUKOR.pdf http://eprints.uthm.edu.my/8145/2/SHAZMIN%20ANIZA%20ABDUL%20SHUKOR%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8145/3/SHAZMIN%20ANIZA%20ABDUL%20SHUKOR%20WATERMARK.pdf
_version_	1776103286129033216

Smart thermal comfort system: a development of the fundamental control algorithm

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