TY  - JOUR
SN  - 23198613
Y1  - 2013///
EP  - 3242
VL  - 5
A1  - Shaikh, P.H.
A1  - Nor, N.B.M.
A1  - Nallagownden, P.
A1  - Elamvazuthi, I.
JF  - International Journal of Engineering and Technology
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884527504&partnerID=40&md5=5a0f6c4e782c1a60fdee466c77b2757a
AV  - none
TI  - Building energy management through a distributed fuzzy inference system
ID  - scholars3534
SP  - 3236
N2  - Buildings consume significant world's energy resources, approximately 32 of the total primary energy. The rapid depletion of energy resources, has imparted researchers to focus on energy conservation and wastage. The next generation of smart buildings is becoming a trend to cope with the needs of energy and environmental ease in buildings. This advances the intelligent control of building to fulfill the occupants' need. Intelligent system control for sustainable buildings is dynamic and highly complex. Building information accuracy with an effective controller scheme is a challenging task. This paper presents the fuzzy control system architecture (FCSA) for resolving the conflict of maintaining the inhabitants comfort index and the energy consumption in buildings. It also infers the graphical relationship between energy consumption and comfort parameters. With a distributed fuzzy inference system (FIS), control has been developed for temperature, air quality and artificial lighting comfort parameters. Model simulation has been carried out and control factors have been discussed. The FIS models have also been validated with implication of change function. The presented control system is capable of achieving energy conservation in the buildings.
N1  - cited By 20
IS  - 4
ER  -