IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v82y2005i1p1-22.html
   My bibliography  Save this article

Numerical analysis of evaporator frosting in automotive air-conditioning system with a variable-displacement compressor

Author

Listed:
  • Tian, Changqing
  • Li, Xianting
  • Yang, Xinjiang

Abstract

A steady-state mathematical model of the automotive air conditioning system with a variable-displacement compressor (VDC) is developed to find out the reasons causing evaporator frosting. To validate the system model, a test system is established and the simulated results are compared with experimental data: the predicted results agree well with the experimental data. After analyzing the influence of different factors with the system model, three reasons causing evaporator frosting have been found and corresponding countermeasures have been proposed: (1) the system performance band caused by the frictional forces among the moving components of the VDC can contribute to evaporator frosting, which may be avoided by decreasing the frictional forces between the moving components while designing, manufacturing and operating the VDC; (2) the mismatch between the parameters of the control valve and the resistance pressure of suction pipe or the condenser size can also contribute to evaporator frosting and the control valve with a proper initial compressive force should be selected for a given suction pipe and condenser; and (3) a higher air temperature at the condenser's inlet may cause evaporator frosting one needs to consider the influence of the air temperature at the condenser inlet while designing the new control valve.

Suggested Citation

  • Tian, Changqing & Li, Xianting & Yang, Xinjiang, 2005. "Numerical analysis of evaporator frosting in automotive air-conditioning system with a variable-displacement compressor," Applied Energy, Elsevier, vol. 82(1), pages 1-22, September.
    • Handle: RePEc:eee:appene:v:82:y:2005:i:1:p:1-22
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(04)00161-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huang, Yanjun & Khajepour, Amir & Bagheri, Farshid & Bahrami, Majid, 2016. "Optimal energy-efficient predictive controllers in automotive air-conditioning/refrigeration systems," Applied Energy, Elsevier, vol. 184(C), pages 605-618.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:82:y:2005:i:1:p:1-22. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.