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Performance analysis on an air-conditioning system installed with and without a fuzzy logic thermostat in an office building

The current research presents the study of the proposed thermostat setting developed in the previous work through a numerical simulation project using transient system simulation tool. The transient system simulation tool code is used to integrate the fuzzy logic to optimise a room thermostat with t...

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Main Authors: Yau, Yat Huang, Chang, C.P.
Format: Article
Published: SAGE Publications 2018
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.um.edu.my/20290/
https://doi.org/10.1177/0957650918762022
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spelling my.um.eprints.202902019-02-13T06:45:54Z http://eprints.um.edu.my/20290/ Performance analysis on an air-conditioning system installed with and without a fuzzy logic thermostat in an office building Yau, Yat Huang Chang, C.P. TJ Mechanical engineering and machinery The current research presents the study of the proposed thermostat setting developed in the previous work through a numerical simulation project using transient system simulation tool. The transient system simulation tool code is used to integrate the fuzzy logic to optimise a room thermostat with the multi-zone building model (Type56a). A set of equations is designed in the transient system simulation tool project to represent the fuzzy logic control system of the proposed thermostat setting. The performance analysis for the air-conditioning system installed with and without the application of the control system in terms of the operative zone temperature, the sensible cooling demand, the solar radiation, and the internal gains for a thermal zone for recent years or 2000s, and for the years 2020, 2050 and 2080 were comprehensively examined. Estimations of both predicted mean vote and predicted percentage of dissatisfied persons of the zone were also investigated. The findings indicate that a considerable amount of sensible cooling demand of approximately 8420 kJ/h or equivalent to 3.54% can be saved with the application of the proposed thermostat setting. The predicted mean vote is in the range from −0.22 to 0.72 with its average between 0.20 and 0.26 for the AC system installed with fuzzy logic control. These results further suggest that the thermal comfort of occupants can be improved taking into account their activity level, clothing insulation, indoor air temperature, air velocity, mean radiant temperature and relative humidity. SAGE Publications 2018 Article PeerReviewed Yau, Yat Huang and Chang, C.P. (2018) Performance analysis on an air-conditioning system installed with and without a fuzzy logic thermostat in an office building. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 232 (8). pp. 1079-1092. ISSN 0957-6509 https://doi.org/10.1177/0957650918762022 doi:10.1177/0957650918762022
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Yau, Yat Huang
Chang, C.P.
Performance analysis on an air-conditioning system installed with and without a fuzzy logic thermostat in an office building
description The current research presents the study of the proposed thermostat setting developed in the previous work through a numerical simulation project using transient system simulation tool. The transient system simulation tool code is used to integrate the fuzzy logic to optimise a room thermostat with the multi-zone building model (Type56a). A set of equations is designed in the transient system simulation tool project to represent the fuzzy logic control system of the proposed thermostat setting. The performance analysis for the air-conditioning system installed with and without the application of the control system in terms of the operative zone temperature, the sensible cooling demand, the solar radiation, and the internal gains for a thermal zone for recent years or 2000s, and for the years 2020, 2050 and 2080 were comprehensively examined. Estimations of both predicted mean vote and predicted percentage of dissatisfied persons of the zone were also investigated. The findings indicate that a considerable amount of sensible cooling demand of approximately 8420 kJ/h or equivalent to 3.54% can be saved with the application of the proposed thermostat setting. The predicted mean vote is in the range from −0.22 to 0.72 with its average between 0.20 and 0.26 for the AC system installed with fuzzy logic control. These results further suggest that the thermal comfort of occupants can be improved taking into account their activity level, clothing insulation, indoor air temperature, air velocity, mean radiant temperature and relative humidity.
format Article
author Yau, Yat Huang
Chang, C.P.
author_facet Yau, Yat Huang
Chang, C.P.
author_sort Yau, Yat Huang
title Performance analysis on an air-conditioning system installed with and without a fuzzy logic thermostat in an office building
title_short Performance analysis on an air-conditioning system installed with and without a fuzzy logic thermostat in an office building
title_full Performance analysis on an air-conditioning system installed with and without a fuzzy logic thermostat in an office building
title_fullStr Performance analysis on an air-conditioning system installed with and without a fuzzy logic thermostat in an office building
title_full_unstemmed Performance analysis on an air-conditioning system installed with and without a fuzzy logic thermostat in an office building
title_sort performance analysis on an air-conditioning system installed with and without a fuzzy logic thermostat in an office building
publisher SAGE Publications
publishDate 2018
url http://eprints.um.edu.my/20290/
https://doi.org/10.1177/0957650918762022
_version_ 1643691236136058880
score 13.211869

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