IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v28y2003i9p929-939.html
   My bibliography  Save this article

The degree-day method to estimate the residential heating natural gas consumption in Turkey: a case study

Author

Listed:
  • Sarak, H
  • Satman, A

Abstract

The heating degree-day method was used to determine the natural gas consumption by residential heating in Turkey. Cities located nearby the existing, under construction, and planned natural gas pipelines were chosen for this study. Degree-days, population and resident distribution records obtained for these cities were utilized to estimate the nation-wide natural gas demand. Our study indicates that the potential consumption in Turkey in 2023 could be as high as 14.92 Gm3 if 100% of residences use natural gas for space heating. The results enable us to locate the distribution of energy demand and pick out the areas where consumption is highest. The predictive method was successfully validated by comparison with real data on natural gas consumption in Turkey for the winter heating of buildings.

Suggested Citation

  • Sarak, H & Satman, A, 2003. "The degree-day method to estimate the residential heating natural gas consumption in Turkey: a case study," Energy, Elsevier, vol. 28(9), pages 929-939.
    • Handle: RePEc:eee:energy:v:28:y:2003:i:9:p:929-939
    DOI: 10.1016/S0360-5442(03)00035-5
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544203000355
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/S0360-5442(03)00035-5?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.

    References listed on IDEAS

    as
    1. Satman, A & Yalcinkaya, N, 1999. "Heating and cooling degree-hours for Turkey," Energy, Elsevier, vol. 24(10), pages 833-840.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oktay, Z. & Coskun, C. & Dincer, I., 2011. "A new approach for predicting cooling degree-hours and energy requirements in buildings," Energy, Elsevier, vol. 36(8), pages 4855-4863.
    2. Szoplik, Jolanta, 2015. "Forecasting of natural gas consumption with artificial neural networks," Energy, Elsevier, vol. 85(C), pages 208-220.
    3. Dombaycı, Ö. Altan, 2009. "Degree-days maps of Turkey for various base temperatures," Energy, Elsevier, vol. 34(11), pages 1807-1812.
    4. Zhang, L.Y. & Jin, L.W. & Wang, Z.N. & Zhang, J.Y. & Liu, X. & Zhang, L.H., 2017. "Effects of wall configuration on building energy performance subject to different climatic zones of China," Applied Energy, Elsevier, vol. 185(P2), pages 1565-1573.
    5. Özyurt, Ömer & Bakirci, Kadir & Erdoğan, Sadık & Yilmaz, Mehmet, 2009. "Bin weather data for the provinces of the Eastern Anatolia in Turkey," Renewable Energy, Elsevier, vol. 34(5), pages 1319-1332.
    6. Liu, Long & Zhao, Jing & Liu, Xin & Wang, Zhaoxia, 2014. "Energy consumption comparison analysis of high energy efficiency office buildings in typical climate zones of China and U.S. based on correction model," Energy, Elsevier, vol. 65(C), pages 221-232.
    7. Jean Gaston Tamba & Salom Ndjakomo Essiane & Emmanuel Flavian Sapnken & Francis Djanna Koffi & Jean Luc Nsouand l & Bozidar Soldo & Donatien Njomo, 2018. "Forecasting Natural Gas: A Literature Survey," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 216-249.
    8. Kenisarin, Murat & Kenisarina, Kamola, 2007. "Energy saving potential in the residential sector of Uzbekistan," Energy, Elsevier, vol. 32(8), pages 1319-1325.
    9. Szoplik, Jolanta, 2016. "Improving the natural gas transporting based on the steady state simulation results," Energy, Elsevier, vol. 109(C), pages 105-116.
    10. Coskun, C., 2010. "A novel approach to degree-hour calculation: Indoor and outdoor reference temperature based degree-hour calculation," Energy, Elsevier, vol. 35(6), pages 2455-2460.
    11. Kaynakli, O., 2008. "A study on residential heating energy requirement and optimum insulation thickness," Renewable Energy, Elsevier, vol. 33(6), pages 1164-1172.
    12. Gutiérrez, R. & Nafidi, A. & Gutiérrez Sánchez, R., 2005. "Forecasting total natural-gas consumption in Spain by using the stochastic Gompertz innovation diffusion model," Applied Energy, Elsevier, vol. 80(2), pages 115-124, February.
    13. Krese, Gorazd & Lampret, Žiga & Butala, Vincenc & Prek, Matjaž, 2018. "Determination of a Building's balance point temperature as an energy characteristic," Energy, Elsevier, vol. 165(PB), pages 1034-1049.
    14. Seyed Amin Tabatabaei & Wim Van der Ham & Michel C. A. Klein & Jan Treur, 2017. "A Data Analysis Technique to Estimate the Thermal Characteristics of a House," Energies, MDPI, vol. 10(9), pages 1-19, September.
    15. Forouzanfar, Mehdi & Doustmohammadi, Ali & Menhaj, M. Bagher & Hasanzadeh, Samira, 2010. "Modeling and estimation of the natural gas consumption for residential and commercial sectors in Iran," Applied Energy, Elsevier, vol. 87(1), pages 268-274, January.
    16. Cuce, Erdem & Cuce, Pinar Mert & Wood, Christopher J. & Riffat, Saffa B., 2014. "Toward aerogel based thermal superinsulation in buildings: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 273-299.
    17. Bulut, Hüsamettin & Büyükalaca, Orhan & YIlmaz, Tuncay, 2001. "Bin weather data for Turkey," Applied Energy, Elsevier, vol. 70(2), pages 135-155, October.
    18. Wouters, Carmen & Fraga, Eric S. & James, Adrian M., 2015. "An energy integrated, multi-microgrid, MILP (mixed-integer linear programming) approach for residential distributed energy system planning – A South Australian case-study," Energy, Elsevier, vol. 85(C), pages 30-44.
    19. Kharseh, Mohamad & Altorkmany, Lobna, 2012. "How global warming and building envelope will change buildings energy use in central Europe," Applied Energy, Elsevier, vol. 97(C), pages 999-1004.
    20. Yukseltan, Ergun & Yucekaya, Ahmet & Bilge, Ayse Humeyra & Agca Aktunc, Esra, 2021. "Forecasting models for daily natural gas consumption considering periodic variations and demand segregation," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).

    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:28:y:2003:i:9:p:929-939. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.