Indoor building fuzzy control of energy and comfort management

This study reports the fuzzy inference system controllers. They are employed in order to control actuator systems for thermal, visual and indoor air quality power consumption. The implementation of the Fuzzy Logic Control (FLC) system, allows an stochastic interval range of comfort index as suscepti...

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Main Authors: Shaikh, P.H., Nor, N.B.M., Nallagownden, P., Elamvazuthi, I.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.32479 /
Published: Maxwell Science Publications 2013
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887549179&doi=10.19026%2frjaset.6.3449&partnerID=40&md5=6b336eaa99fcc4e72149df5da6301daa
http://eprints.utp.edu.my/32479/
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spelling utp-eprints.324792022-03-29T14:03:42Z Indoor building fuzzy control of energy and comfort management Shaikh, P.H. Nor, N.B.M. Nallagownden, P. Elamvazuthi, I. This study reports the fuzzy inference system controllers. They are employed in order to control actuator systems for thermal, visual and indoor air quality power consumption. The implementation of the Fuzzy Logic Control (FLC) system, allows an stochastic interval range of comfort index as susceptible to human body, achieving numerous power demand values for the actuator operations. The potential benefit of the automated smart building are high-level comfort, improved device efficiency, environment friendliness and reduced energy consumption as well as cost. The simulation results are shown describing the behavourial relation for each control parameter with the power consumption. © Maxwell Scientific Organization, 2013. Maxwell Science Publications 2013 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887549179&doi=10.19026%2frjaset.6.3449&partnerID=40&md5=6b336eaa99fcc4e72149df5da6301daa Shaikh, P.H. and Nor, N.B.M. and Nallagownden, P. and Elamvazuthi, I. (2013) Indoor building fuzzy control of energy and comfort management. Research Journal of Applied Sciences, Engineering and Technology, 6 (23). pp. 4445-4450. http://eprints.utp.edu.my/32479/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description This study reports the fuzzy inference system controllers. They are employed in order to control actuator systems for thermal, visual and indoor air quality power consumption. The implementation of the Fuzzy Logic Control (FLC) system, allows an stochastic interval range of comfort index as susceptible to human body, achieving numerous power demand values for the actuator operations. The potential benefit of the automated smart building are high-level comfort, improved device efficiency, environment friendliness and reduced energy consumption as well as cost. The simulation results are shown describing the behavourial relation for each control parameter with the power consumption. © Maxwell Scientific Organization, 2013.
format Article
author Shaikh, P.H.
Nor, N.B.M.
Nallagownden, P.
Elamvazuthi, I.
spellingShingle Shaikh, P.H.
Nor, N.B.M.
Nallagownden, P.
Elamvazuthi, I.
Indoor building fuzzy control of energy and comfort management
author_sort Shaikh, P.H.
title Indoor building fuzzy control of energy and comfort management
title_short Indoor building fuzzy control of energy and comfort management
title_full Indoor building fuzzy control of energy and comfort management
title_fullStr Indoor building fuzzy control of energy and comfort management
title_full_unstemmed Indoor building fuzzy control of energy and comfort management
title_sort indoor building fuzzy control of energy and comfort management
publisher Maxwell Science Publications
publishDate 2013
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887549179&doi=10.19026%2frjaset.6.3449&partnerID=40&md5=6b336eaa99fcc4e72149df5da6301daa
http://eprints.utp.edu.my/32479/
_version_ 1741197739211882496
score 11.62408

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