• DocumentCode
    679003
  • Title

    Modeling for gas flow measurement consumed by a boiler. Towards a low-cost sensor for energy efficiency

  • Author

    Hadid, Baya ; Ouvrard, Regis ; Le Brusquet, L. ; Poinot, Thierry ; Etien, Erik ; Sicard, Frederic

  • Author_Institution
    Lab. d´Inf. et d´Autom. pour les Syst. - EA6315 (LIAS), Univ. de Poitiers - ENSIP, Poitiers, France
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    889
  • Lastpage
    894
  • Abstract
    This paper deals with the modeling of the gas flow supplied to a boiler in order to implement a soft sensor. This study is a part of ANR CHIC project which has an aim to minimize the measuring chain cost in the energy efficiency improvement programs. This implementation requires the estimation of a mathematical model that expresses the flow rate from the control signal of the solenoid valve and the gas pressure and temperature measurements. Two types of models are studied : LPV (Linear Parameter Varying) model with pressure and temperature as scheduling variables and a non-parametric model based on Gaussian processes.
  • Keywords
    Gaussian processes; boilers; energy conservation; flow measurement; flow sensors; gas sensors; mathematical analysis; pressure measurement; scheduling; solenoids; temperature measurement; valves; ANR CHIC project; Gaussian process; LPV model; boiler; chain cost measurement; energy efficiency improvement program; gas flow measurement; gas pressure measurement; linear parameter varying model; mathematical model; nonparametric model; scheduling; soft sensor; solenoid valve; temperature measurement; Biological system modeling; Boilers; Fluid flow measurement; Gaussian processes; Mathematical model; Temperature measurement; Valves; Flow measurement; Gaussian process modeling; Identification; LPV model; Soft sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensing Technology (ICST), 2013 Seventh International Conference on
  • Conference_Location
    Wellington
  • ISSN
    2156-8065
  • Print_ISBN
    978-1-4673-5220-8
  • Type

    conf

  • DOI
    10.1109/ICSensT.2013.6727778
  • Filename
    6727778