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

被引:26
作者
Ghadi, Yazeed Yasin [1 ]
Rasul, M. G. [1 ]
Khan, M. M. K. [1 ]
机构
[1] Cent Queensland Univ, Sch Engn & Technol, Rockhampton, Qld 4702, Australia
关键词
Building management system; HVAC; Fuzzy controllers; Smart buildings; DESICCANT COOLING SYSTEM; HYDRONIC HEATING-SYSTEMS; ENERGY; TECHNOLOGIES; MANAGEMENT;
D O I
10.1016/j.rser.2015.10.105
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:738 / 744
页数:7
相关论文
共 42 条
  • [1] [Anonymous], ALTENER PROJ PROM US
  • [2] [Anonymous], 2005, Ergonomics of the thermal environment _ Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria
  • [3] ANSI/ASHRAE, 2004, 55 ASHRAE
  • [4] A neural network controller for hydronic heating systems of solar buildings
    Argiriou, AA
    Bellas-Velidis, I
    Kummert, M
    André, P
    [J]. NEURAL NETWORKS, 2004, 17 (03) : 427 - 440
  • [5] An overview of solar assisted air conditioning in Queensland's subtropical regions, Australia
    Baniyounes, Ali M.
    Ghadi, Yazeed Yasin
    Rasul, M. G.
    Khan, M. M. K.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 26 : 781 - 804
  • [6] Experimental assessment of a solar desiccant cooling system for an institutional building in subtropical Queensland, Australia
    Baniyounes, Ali M.
    Rasul, M. G.
    Khan, M. M. K.
    [J]. ENERGY AND BUILDINGS, 2013, 62 : 78 - 86
  • [7] Analysis of solar desiccant cooling system for an institutional building in subtropical Queensland, Australia
    Baniyounes, Ali M.
    Liu, Gang
    Rasul, M. G.
    Khan, M. M. K.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2012, 16 (08) : 6423 - 6431
  • [8] Brant M., 1996, P 4 EUR C SOL ARCH U, P537
  • [9] The control of indoor thermal comfort conditions: introducing a fuzzy adaptive controller
    Calvino, F
    La Gennusa, M
    Rizzo, G
    Scaccianoce, G
    [J]. ENERGY AND BUILDINGS, 2004, 36 (02) : 97 - 102
  • [10] Cerecero-Natale LF, 2012, P WORLD AUT C WAC