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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Format: | Thesis |
Language: | English English English |
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2004
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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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author | Abdul Shukor, Shazmin Aniza |
author_facet | Abdul Shukor, Shazmin Aniza |
author_sort | Abdul Shukor, Shazmin Aniza |
collection | UTHM |
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. |
first_indexed | 2024-03-05T21:58:48Z |
format | Thesis |
id | uthm.eprints-8145 |
institution | Universiti Tun Hussein Onn Malaysia |
language | English English English |
last_indexed | 2024-03-05T21:58:48Z |
publishDate | 2004 |
record_format | dspace |
spelling | uthm.eprints-81452023-01-17T03:39:18Z http://eprints.uthm.edu.my/8145/ Smart thermal comfort system: a development of the fundamental control algorithm 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 NonPeerReviewed text en http://eprints.uthm.edu.my/8145/1/24p%20SHAZMIN%20ANIZA%20ABDUL%20SHUKOR.pdf text en http://eprints.uthm.edu.my/8145/2/SHAZMIN%20ANIZA%20ABDUL%20SHUKOR%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/8145/3/SHAZMIN%20ANIZA%20ABDUL%20SHUKOR%20WATERMARK.pdf Abdul Shukor, Shazmin Aniza (2004) Smart thermal comfort system: a development of the fundamental control algorithm. Masters thesis, Kolej Universiti Teknologi Tun Hussein Onn. |
spellingShingle | TH Building construction TH7005-7699 Heating and ventilation. Air conditioning Abdul Shukor, Shazmin Aniza Smart thermal comfort system: a development of the fundamental control algorithm |
title | 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_short | Smart thermal comfort system: a development of the fundamental control algorithm |
title_sort | smart thermal comfort system a development of the fundamental control algorithm |
topic | TH Building construction TH7005-7699 Heating and ventilation. Air conditioning |
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 |
work_keys_str_mv | AT abdulshukorshazminaniza smartthermalcomfortsystemadevelopmentofthefundamentalcontrolalgorithm |