Comfort-based fuzzy control optimization for energy conservation in HVAC systems

被引：69

作者：

Hussain, Sajid ^{[2
]}

Gabbar, Hossam A. ^{[1
,2
]}

Bondarenko, Daniel ^{[2
]}

Musharavati, Farayi ^{[3
]}

Pokharel, Shaligram ^{[3
]}

机构：

[1] Univ Ontario Inst Technol, Fac Engn & Appl Sci, Oshawa, ON L1H 7K4, Canada

[2] Univ Ontario Inst Technol, Fac Energy Syst & Nucl Sci, Oshawa, ON L1H 7K4, Canada

[3] Qatar Univ, Dept Mech & Ind Engn, Coll Engn, Doha, Qatar

来源：

CONTROL ENGINEERING PRACTICE | 2014年 / 32卷

关键词：

Energy conservation; Fuzzy logic controllers; Genetic algorithms; HVAC systems; Co-simulations; THERMAL COMFORT; PERFORMANCE; BUILDINGS;

D O I：

10.1016/j.conengprac.2014.08.007

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The work presented herein illustrates the use of computational intelligence and optimization approaches for improving the fuzzy controller's performance in architectural heating, ventilation, and air conditioning system (HVAC). The primary purpose of the performed research is to find a method to moderate the energy use without compromising the comforts of the inhabitants. The control design used to meet this purpose includes the predicted mean vote (PMV) and predicted percentage dissatisfied (PPD) indices. The software of choice for evaluating PMV and PPD is EnergyPlus. Whereas, for the fuzzy controller and the evolutionary optimization framework, the co-simulation tool with building controls virtual test bed (BCVTB) is used in conjunction with Simulink. The ensuing comparison between EnergyPlus's thermal control of HVAC and our fuzzy approach is the outcome of the present research. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：172 / 182

页数：11

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