IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v34y2009i3p916-919.html
   My bibliography  Save this article

A new variable for climate change study and implications for the built environment

Author

Listed:
  • Wan, Kevin K.W.
  • Cheung, K.L.
  • Yang, Liu
  • Lam, Joseph C.

Abstract

This short technical note presents an attempt to develop a new climatic variable Z for assessing climate change (global warming) with respect to the built environment. Principal component analysis of long-term (30-year) dry-bulb temperature (DBT), wet-bulb temperature and global solar radiation data was conducted in the 5 major climate zones in China. It was found that while the long-term trend was increasing for the DBT in all 5 major climates, hot summer and warm winter climate zone showed a decreasing trend (though slightly) in the annual and seasonal average Z values. This suggests that climate change might not necessarily result in higher cooling loads in buildings.

Suggested Citation

  • Wan, Kevin K.W. & Cheung, K.L. & Yang, Liu & Lam, Joseph C., 2009. "A new variable for climate change study and implications for the built environment," Renewable Energy, Elsevier, vol. 34(3), pages 916-919.
    • Handle: RePEc:eee:renene:v:34:y:2009:i:3:p:916-919
    DOI: 10.1016/j.renene.2008.05.033
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148108002371
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2008.05.033?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Yang, Liu & Wan, Kevin K.W. & Li, Danny H.W. & Lam, Joseph C., 2011. "A new method to develop typical weather years in different climates for building energy use studies," Energy, Elsevier, vol. 36(10), pages 6121-6129.
    2. Lam, Joseph C. & Wan, Kevin K.W. & Lam, Tony N.T. & Wong, S.L., 2010. "An analysis of future building energy use in subtropical Hong Kong," Energy, Elsevier, vol. 35(3), pages 1482-1490.
    3. Lam, Tony N.T. & Wan, Kevin K.W. & Wong, S.L. & Lam, Joseph C., 2010. "Impact of climate change on commercial sector air conditioning energy consumption in subtropical Hong Kong," Applied Energy, Elsevier, vol. 87(7), pages 2321-2327, July.

    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:renene:v:34:y:2009:i:3:p:916-919. 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.journals.elsevier.com/renewable-energy .

    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.