Research Article | OPEN ACCESS
Indoor Building Fuzzy Control of Energy and Comfort Management
Pervez Hameed Shaikh, Nursyarizal Bin Mohd. Nor, Perumal Nallagownden and Irraivan Elamvazuthi
Department of Electrical and Electronics Engineering, Universiti Teknologi Petronas, Bandar Seri Iskandar, 31750 Tronoh, Perak, Malaysia
Research Journal of Applied Sciences, Engineering and Technology 2013 23:4445-4450
Received: February 25, 2013 | Accepted: April 02, 2013 | Published: December 15, 2013
Abstract
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.
Keywords:
Comfort index, energy consumption, fuzzy logic, smart building,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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