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Design and development of advanced fuzzy logic controllers in smart buildings for institutional buildings in subtropical Queensland

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  • Ghadi, Yazeed Yasin
  • Rasul, M.G.
  • Khan, M.M.K.

Abstract

Building management system (BMS) has the ability to monitor and control buildings׳ mechanical and electrical equipment namely heating, ventilating and air conditioning (HVAC), lighting, power, fire and security systems. BMS can also provide indoor thermal comfort within commercial buildings including industrial and institutional buildings and able to reduce energy consumption. However most of HVAC systems are controlled by using conventional controller whose functions are based on ON/OFF controller and Proportional-Integral-Derivative (PID) controllers. These controllers are not the ultimate solution to save energy because the operations of HVAC systems are nonlinear. Thus, the implementation of fuzzy logic controllers within smart buildings will be more efficient which consequently will save more energy and money. This paper reviews, investigates and evaluates the use of fuzzy logic controller in HVAC systems and light controllers for smart buildings in subtropical Australia as well as highlights the role of technology in saving energy, and its potential. Additionally, it highlights the recent developments in BMS controllers including its conceptual basis, capabilities and limitations.

Suggested Citation

  • Ghadi, Yazeed Yasin & Rasul, M.G. & Khan, M.M.K., 2016. "Design and development of advanced fuzzy logic controllers in smart buildings for institutional buildings in subtropical Queensland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 738-744.
    • Handle: RePEc:eee:rensus:v:54:y:2016:i:c:p:738-744
    DOI: 10.1016/j.rser.2015.10.105
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    References listed on IDEAS

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    1. Khan, K. H. & Rasul, M. G. & Khan, M. M. K., 2004. "Energy conservation in buildings: cogeneration and cogeneration coupled with thermal energy storage," Applied Energy, Elsevier, vol. 77(1), pages 15-34, January.
    2. Baniyounes, Ali M. & Liu, Gang & Rasul, M.G. & Khan, M.M.K., 2012. "Analysis of solar desiccant cooling system for an institutional building in subtropical Queensland, Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 6423-6431.
    3. Baniyounes, Ali M. & Ghadi, Yazeed Yasin & Rasul, M.G. & Khan, M.M.K., 2013. "An overview of solar assisted air conditioning in Queensland's subtropical regions, Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 781-804.
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    5. Chowdhury, Ashfaque Ahmed & Rasul, M.G. & Khan, M.M.K., 2008. "Thermal-comfort analysis and simulation for various low-energy cooling-technologies applied to an office building in a subtropical climate," Applied Energy, Elsevier, vol. 85(6), pages 449-462, June.
    6. Dounis, A. I. & Manolakis, D. E., 2001. "Design of a fuzzy system for living space thermal-comfort regulation," Applied Energy, Elsevier, vol. 69(2), pages 119-144, June.
    7. Dounis, A.I. & Caraiscos, C., 2009. "Advanced control systems engineering for energy and comfort management in a building environment--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1246-1261, August.
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    Cited by:

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    3. Aguilar, J. & Garces-Jimenez, A. & R-Moreno, M.D. & García, Rodrigo, 2021. "A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).

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