Recent Developments of Advanced Fuzzy Logic Controllers Used in Smart Buildings in Subtropical Climate

被引:7
|
作者
Ghadi, Yazeed Yasin [1 ]
Rasul, M. M. G. [1 ]
Khan, M. K. K. [1 ]
机构
[1] Cent Queensland Univ, Sch Engn & Technol, Rockhampton, Qld 4072, Australia
关键词
HVAC system; fuzzy logic controllers; subtropical; energy; smart buildings; SYSTEMS;
D O I
10.1016/j.egypro.2014.11.1015
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 including 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. Additionally, it highlights the recent developments in BMS controllers including its conceptual basis, capabilities and limitations. (C) 2014 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:1021 / 1024
页数:4
相关论文
共 32 条
  • [1] Design and development of advanced fuzzy logic controllers in smart buildings for institutional buildings in subtropical Queensland
    Ghadi, Yazeed Yasin
    Rasul, M. G.
    Khan, M. M. K.
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 54 : 738 - 744
  • [2] Potential of Saving Energy Using Advanced Fuzzy Logic Controllers in Smart Buildings in Subtropical Climates in Australia
    Ghadi, Yazeed Yasin
    Rasul, M. G.
    Khan, M. M. K.
    INTERNATIONAL CONFERENCE ON APPLIED ENERGY, ICAE2014, 2014, 61 : 290 - 293
  • [3] Fuzzy logic controllers for energy savings in buildings
    Cammarata, G
    Fichera, A
    Marletta, L
    Micall, A
    Vagliasindi, C
    REBUILD - THE EUROPEAN CITIES OF TOMORROW: SHAPING OUR EUROPEAN CITIES FOR THE 21ST CENTURY, 1998, : 325 - 328
  • [4] Using fuzzy logic in smart homes lighting controllers
    Hagenbeck, Erika
    Santos, Nilson Barros
    Cavalcante, Rodrigo
    Macedo, Hendrik
    2016 8TH EURO AMERICAN CONFERENCE ON TELEMATICS AND INFORMATION SYSTEMS (EATIS), 2016,
  • [5] Fuzzy logic and fuzzy systems: Recent developments and future directions
    Gupta, MM
    1996 BIENNIAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS, 1996, : 155 - 159
  • [6] Architecture for Smart Buildings Based on Fuzzy Logic and the OpenFog Standard
    Toral, Imanol Martin
    Calvo, Isidro
    Xenakis, Jani
    Artetxe, Eneko
    Barambones, Oscar
    ELECTRONICS, 2023, 12 (24)
  • [7] Recent developments in the modelling and control of climate and ventilation in agricultural buildings
    Young, P
    Price, L
    Berckmans, D
    Janssens, K
    CONTROL APPLICATIONS & ERGONOMICS IN AGRICULTURE, 1999, : 3 - 10
  • [8] Advanced fuzzy logic controllers design and evaluation for buildings' occupants thermal-visual comfort and indoor air quality satisfaction
    Kolokotsa, D
    Tsiavos, D
    Stavrakakis, GS
    Kalaitzakis, K
    Antonidakis, E
    ENERGY AND BUILDINGS, 2001, 33 (06) : 531 - 543
  • [9] A new analysis and design method for fuzzy logic controllers used in power converters
    Perry, AG
    Feng, G
    Liu, YF
    Sen, PC
    IECON 2005: THIRTY-FIRST ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-3, 2005, : 1006 - 1011
  • [10] Design of Fuzzy Logic based Controller for Energy Efficient Operation in Smart Buildings
    Omarov, Batyrkhan
    Altayeva, Aigerim
    Suleimenov, Zharas
    Cho, Young Im
    Omarov, Bauyrzhan
    2017 FIRST IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING (IRC), 2017, : 346 - 351