IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v23y1998i12p1089-1094.html
   My bibliography  Save this article

Heating degree–days for arid regions

Author

Listed:
  • Şen, Zekai
  • Kadiogl̂u, Mikdat

Abstract

Arid regions generally have great temperature differences between day and night. Heating degree–days are indicative of the need to heat buildings. We show that the maximum and minimum temperatures are linearly related at high significance levels. Degree–day calculations using only maximum temperature records are presented and risk assessments are explained. Regional variations of monthly degree–days are mapped and their relations to local topography examined.

Suggested Citation

  • Şen, Zekai & Kadiogl̂u, Mikdat, 1998. "Heating degree–days for arid regions," Energy, Elsevier, vol. 23(12), pages 1089-1094.
  • Handle: RePEc:eee:energy:v:23:y:1998:i:12:p:1089-1094
    DOI: 10.1016/S0360-5442(98)00055-3
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544298000553
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/S0360-5442(98)00055-3?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. Kenisarin, Murat & Kenisarina, Kamola, 2007. "Energy saving potential in the residential sector of Uzbekistan," Energy, Elsevier, vol. 32(8), pages 1319-1325.
    2. Verbai, Zoltán & Lakatos, Ákos & Kalmár, Ferenc, 2014. "Prediction of energy demand for heating of residential buildings using variable degree day," Energy, Elsevier, vol. 76(C), pages 780-787.
    3. D'Amico, A. & Ciulla, G. & Panno, D. & Ferrari, S., 2019. "Building energy demand assessment through heating degree days: The importance of a climatic dataset," Applied Energy, Elsevier, vol. 242(C), pages 1285-1306.
    4. Khuram Pervez Amber & Muhammad Waqar Aslam & Faraz Ikram & Anila Kousar & Hafiz Muhammad Ali & Naveed Akram & Kamran Afzal & Haroon Mushtaq, 2018. "Heating and Cooling Degree-Days Maps of Pakistan," Energies, MDPI, vol. 11(1), pages 1-12, January.
    5. Durmayaz, Ahmet & Kadıoǧlu, Mikdat & Şen, Zekai, 2000. "An application of the degree-hours method to estimate the residential heating energy requirement and fuel consumption in Istanbul," Energy, Elsevier, vol. 25(12), pages 1245-1256.

    More about this item

    Statistics

    Access and download statistics

    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:energy:v:23:y:1998:i:12:p:1089-1094. 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/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.