• DocumentCode
    3139070
  • Title

    VAVAC systems modeling and simulation for FDD applications

  • Author

    Beghi, Alessandro ; Cecchinato, Luca ; Paggiaro, F. ; Rampazzo, Mirco

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padova, Padova, Italy
  • fYear
    2011
  • fDate
    19-21 Dec. 2011
  • Firstpage
    800
  • Lastpage
    805
  • Abstract
    Faulty operation of HVAC systems can lead to discomfort for the occupants, energy wastage, unreliability and shorter equipment life. Cost-effective Fault Detection and Diagnosis (FDD) methods can therefore ensure an increase in the system uptime, reliability, and overall efficiency. In this paper, in order to evaluate and compare FDD methods for HVAC systems, we resort to a particular case of Variable Air Volume models, that are capable of describing the response of the control system in both normal and fault operating conditions. The system is tested by performing extensive simulations using Matlab/Simulink™tools in order to allow the description of the most common and relevant fault affecting this kind of systems.
  • Keywords
    HVAC; fault diagnosis; mathematics computing; reliability; FDD applications; HVAC systems; Matlab; Simulink tool; VAVAC systems modeling; VAVAC systems simulation; fault detection-and-diagnosis methods; heating-ventilation-and-air-conditioning systems; reliability; variable air volume models; Atmospheric modeling; Coils; Cooling; Shock absorbers; Temperature distribution; Water heating;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (ICCA), 2011 9th IEEE International Conference on
  • Conference_Location
    Santiago
  • ISSN
    1948-3449
  • Print_ISBN
    978-1-4577-1475-7
  • Type

    conf

  • DOI
    10.1109/ICCA.2011.6138039
  • Filename
    6138039