A review of intelligent control techniques in HVAC systems

Author

Mirinejad, Hossein ; Welch, Karla Conn ; Spicer, Lucas

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Louisville, Louisville, KY, USA

fYear

2012

fDate

29-31 May 2012

Firstpage

1

Lastpage

5

Abstract

Two main objectives in the control of Heating, Ventilating and Air Conditioning (HVAC) systems are increasing thermal comfort and reducing energy consumption. Achieving these purposes requires a suitable control system design. In this paper, a thorough review of intelligent control techniques used in HVAC systems to date is completed. Such an overview provides an insight into artificial intelligence methods for the control of HVAC systems and can offer scholars and HVAC learners comprehensive information about a variety of soft computing techniques in the field of HVAC. This information can in turn allow for improved designs of a proper controller for their work.

Keywords

HVAC; control system synthesis; energy consumption; fuzzy control; neurocontrollers; HV AC learners; HV AC systems control; artificial intelligence methods; control system design; energy consumption; heating ventilating and air conditioning systems; intelligent control techniques; soft computing techniques; thermal comfort; Artificial intelligence; Control systems; Fuzzy systems; Genetic algorithms; Genetics; Optimization; USA Councils; HVAC; fuzzy control; neural network; thermal comfort;

fLanguage

English

Publisher

ieee

Conference_Titel

Energytech, 2012 IEEE

Conference_Location

Cleveland, OH

Print_ISBN

978-1-4673-1836-5

Electronic_ISBN

978-1-4673-1834-1

Type

conf

DOI

10.1109/EnergyTech.2012.6304679

Filename

6304679