International Journal of Physical Sciences
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Article Number - A44FE2062333


Vol.12(1), pp. 13-23 , January 2017
DOI: 10.5897/IJPS11.822
ISSN: 1992-1950



Full Length Research Paper

Energy saving by applying the fuzzy cognitive map control in controlling the temperature and humidity of room



Farinaz Behrooz*
  • Farinaz Behrooz*
  • Institute of Advanced Technology, Universiti Putra Malaysia, Serdang, Selangor - 43400, Malaysia.
  • Google Scholar
Abdul Rahman Ramli
  • Abdul Rahman Ramli
  • Department of Computer and Communications, Universiti Putra Malaysia, Serdang, Selangor - 43400, Malaysia.
  • Google Scholar
Khairulmizam Samsudin
  • Khairulmizam Samsudin
  • Department of Computer and Communications, Universiti Putra Malaysia, Serdang, Selangor - 43400, Malaysia.
  • Google Scholar
Hossein Eliasi
  • Hossein Eliasi
  • Department of Electricals Engineering, University of Amir Kabir, Iran.
  • Google Scholar







 Received: 02 June 2011  Accepted: 15 July 2011  Published: 16 January 2017

Copyright © 2017 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0


This paper investigated the implementing of soft computing methodology of fuzzy cognitive map on controlling parameters of heating, ventilating and air-conditioning systems. In the past few years, many researches have been done on application of different controllers on heating, ventilating and air-conditioning system as a more energy consuming part of the building automation system. Unlike the conventional control methods which are used more in this area like PID controller, the fuzzy cognitive maps method was chosen to control of the temperature and humidity of the room in winter operation season and summer operation season. By applying the fuzzy cognitive map controller, more energy efficiency and also more energy saving has obtained. The advantages of using fuzzy cognitive maps indicated as a controller on the typical heating, ventilating and air-conditioning system in this paper. The algorithm of FCM control reached to the goals of comfort, robustness and energy saving.

Key words: Fuzzy cognitive map, heating ventilating and air-conditioning system, energy saving, energy efficiency, robustness.

Abbreviation:

HVAC, Heating, ventilating and air-conditioning; BAS, building automation system; FCM, fuzzy cognitive map, FL, fuzzy logic, ANN, artificial neural network.


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APA Behrooz, F., Ramli, A. R., Samsudin, K., & Eliasi, H. (2017). Energy saving by applying the fuzzy cognitive map control in controlling the temperature and humidity of room. International Journal of Physical Sciences, 12(1), 13-23.
Chicago Farinaz Behrooz, Abdul Rahman Ramli, Khairulmizam Samsudin and Hossein Eliasi. "Energy saving by applying the fuzzy cognitive map control in controlling the temperature and humidity of room." International Journal of Physical Sciences 12, no. 1 (2017): 13-23.
MLA Farinaz Behrooz, et al. "Energy saving by applying the fuzzy cognitive map control in controlling the temperature and humidity of room." International Journal of Physical Sciences 12.1 (2017): 13-23.
   
DOI 10.5897/IJPS11.822
URL http://academicjournals.org/journal/IJPS/article-abstract/A44FE2062333

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