Supervisor Fuzzy Logic Controller for HVAC System of S.J Carew Building at Memorial University
One of the most important characteristics contributing to the thermal management efficiency of commercial, industrial, institutional or home environments is the optimal functioning of HVAC (heating, ventilation, air conditioning) systems. In addition to using supervisor controllers for balancing com...
Published in: | European Journal of Electrical Engineering and Computer Science |
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Online Access: | http://dx.doi.org/10.24018/ejece.2019.3.4.92 https://ejece.org/index.php/ejece/article/download/92/59 |
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creuropoapubl:10.24018/ejece.2019.3.4.92 2023-12-03T10:26:10+01:00 Supervisor Fuzzy Logic Controller for HVAC System of S.J Carew Building at Memorial University Abdo-Allah, Almahdi Iqbal, M Tariq Pope, Kevin 2019 http://dx.doi.org/10.24018/ejece.2019.3.4.92 https://ejece.org/index.php/ejece/article/download/92/59 unknown European Open Science Publishing http://creativecommons.org/licenses/by/4.0 European Journal of Electrical Engineering and Computer Science volume 3, issue 4 ISSN 2736-5751 journal-article 2019 creuropoapubl https://doi.org/10.24018/ejece.2019.3.4.92 2023-11-08T11:49:55Z One of the most important characteristics contributing to the thermal management efficiency of commercial, industrial, institutional or home environments is the optimal functioning of HVAC (heating, ventilation, air conditioning) systems. In addition to using supervisor controllers for balancing comfort level in a building, the majority of today’s HVACs employ nonlinear time variance controllers when dealing with a variety of disturbances. This paper investigates both current and potential HVAC systems at Memorial University’s S. J. Carew building, St. John’s, Newfoundland. The study investigates the viability of algorithm-based supervisor fuzzy logic controllers (SFLC) for the control of the building’s four air-handling units (AHUs) used to manage the interior environment. Along with temperature, the SFLCs also control the AHUs’ fan speeds and CO2 concentrations modifying hot water and air flow rates. This work presents models of damper positions, fan speeds and globe valves that have been built in accordance with current rates of air and hot water flow in the S. J. Carew building. Based on these specifications, a novel method of SFLC adaptation using fuzzy rules has been devised. The novel system aims to better balance the performance level of the Carew building’s HVAC system on a floor-by-floor basis. The overall results indicate better overall thermal comfort levels and enhanced cost-effectiveness when using the SFLC redesign. Article in Journal/Newspaper Newfoundland European Open Access Publishing (EUROPA - via Crossref) European Journal of Electrical Engineering and Computer Science 3 4 |
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European Open Access Publishing (EUROPA - via Crossref) |
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One of the most important characteristics contributing to the thermal management efficiency of commercial, industrial, institutional or home environments is the optimal functioning of HVAC (heating, ventilation, air conditioning) systems. In addition to using supervisor controllers for balancing comfort level in a building, the majority of today’s HVACs employ nonlinear time variance controllers when dealing with a variety of disturbances. This paper investigates both current and potential HVAC systems at Memorial University’s S. J. Carew building, St. John’s, Newfoundland. The study investigates the viability of algorithm-based supervisor fuzzy logic controllers (SFLC) for the control of the building’s four air-handling units (AHUs) used to manage the interior environment. Along with temperature, the SFLCs also control the AHUs’ fan speeds and CO2 concentrations modifying hot water and air flow rates. This work presents models of damper positions, fan speeds and globe valves that have been built in accordance with current rates of air and hot water flow in the S. J. Carew building. Based on these specifications, a novel method of SFLC adaptation using fuzzy rules has been devised. The novel system aims to better balance the performance level of the Carew building’s HVAC system on a floor-by-floor basis. The overall results indicate better overall thermal comfort levels and enhanced cost-effectiveness when using the SFLC redesign. |
format |
Article in Journal/Newspaper |
author |
Abdo-Allah, Almahdi Iqbal, M Tariq Pope, Kevin |
spellingShingle |
Abdo-Allah, Almahdi Iqbal, M Tariq Pope, Kevin Supervisor Fuzzy Logic Controller for HVAC System of S.J Carew Building at Memorial University |
author_facet |
Abdo-Allah, Almahdi Iqbal, M Tariq Pope, Kevin |
author_sort |
Abdo-Allah, Almahdi |
title |
Supervisor Fuzzy Logic Controller for HVAC System of S.J Carew Building at Memorial University |
title_short |
Supervisor Fuzzy Logic Controller for HVAC System of S.J Carew Building at Memorial University |
title_full |
Supervisor Fuzzy Logic Controller for HVAC System of S.J Carew Building at Memorial University |
title_fullStr |
Supervisor Fuzzy Logic Controller for HVAC System of S.J Carew Building at Memorial University |
title_full_unstemmed |
Supervisor Fuzzy Logic Controller for HVAC System of S.J Carew Building at Memorial University |
title_sort |
supervisor fuzzy logic controller for hvac system of s.j carew building at memorial university |
publisher |
European Open Science Publishing |
publishDate |
2019 |
url |
http://dx.doi.org/10.24018/ejece.2019.3.4.92 https://ejece.org/index.php/ejece/article/download/92/59 |
genre |
Newfoundland |
genre_facet |
Newfoundland |
op_source |
European Journal of Electrical Engineering and Computer Science volume 3, issue 4 ISSN 2736-5751 |
op_rights |
http://creativecommons.org/licenses/by/4.0 |
op_doi |
https://doi.org/10.24018/ejece.2019.3.4.92 |
container_title |
European Journal of Electrical Engineering and Computer Science |
container_volume |
3 |
container_issue |
4 |
_version_ |
1784275364209491968 |