• DocumentCode
    1947055
  • Title

    The optimum start-up of central air-conditioning based on neural network

  • Author

    Zengxi, Feng ; Qingchang, Ren ; Junqi, Yu

  • Author_Institution
    Sch. of Info. & Cont. Eng., Xi´´an Univ. of Arch. & Tech., Xi´´an, China
  • Volume
    7
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    286
  • Lastpage
    288
  • Abstract
    The preheat time of central air-conditioning system preheating space is not only affect the comfort of environment, but also affect energy consumption. A preheat time model is established based on the thermodynamics principle, and an optimum stat-up algorithm of central air-conditioning system is proposed based on the NN (neural network), the simulation result shows that this method can predict the preheat time accurately which make central air-conditioning system save energy.
  • Keywords
    air conditioning; energy consumption; neural nets; thermodynamics; air conditioning; energy consumption; neural network; preheat time model; preheating space; thermodynamics; Artificial neural networks; Educational institutions; Optimum Start-up; central air-conditioning system; energy saving; neural network; preheat time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5564470
  • Filename
    5564470