IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v34y2009i11p1807-1812.html
   My bibliography  Save this article

Degree-days maps of Turkey for various base temperatures

Author

Listed:
  • Dombaycı, Ö. Altan

Abstract

The aim of this study is to calculate HDD and CDD numbers for various base temperatures by using daily maximum and minimum temperature data for the long-term (21 years), measured at meteorological stations in 79 city centers of Turkey, and to draw maps of these numerical data. Five different base temperatures have been used for HDD and six for CDD in the calculations; the heating and cooling degree-day numbers found are given in the form of a table. The maximum and minimum HDD, for the base temperature of 17.5°C, were respectively (HDD=4581) in Ardahan and (HDD=783) in Mersin; maximum CDD, for the basee temperature of 22°C, was (970) in Şanlıurfa and the minimum CDD was (CDD=61) in Ardahan.

Suggested Citation

  • Dombaycı, Ö. Altan, 2009. "Degree-days maps of Turkey for various base temperatures," Energy, Elsevier, vol. 34(11), pages 1807-1812.
    • Handle: RePEc:eee:energy:v:34:y:2009:i:11:p:1807-1812
    DOI: 10.1016/j.energy.2009.07.030
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544209003156
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2009.07.030?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. Lee, Chien-Chiang & Chang, Chun-Ping, 2007. "The impact of energy consumption on economic growth: Evidence from linear and nonlinear models in Taiwan," Energy, Elsevier, vol. 32(12), pages 2282-2294.
    2. Lior, Noam, 2008. "Energy resources and use: The present situation and possible paths to the future," Energy, Elsevier, vol. 33(6), pages 842-857.
    3. Satman, A & Yalcinkaya, N, 1999. "Heating and cooling degree-hours for Turkey," Energy, Elsevier, vol. 24(10), pages 833-840.
    4. Büyükalaca, Orhan & Bulut, Hüsamettin & YIlmaz, Tuncay, 2001. "Analysis of variable-base heating and cooling degree-days for Turkey," Applied Energy, Elsevier, vol. 69(4), pages 269-283, August.
    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.
    6. 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.
    7. Salta, Myrsine & Polatidis, Heracles & Haralambopoulos, Dias, 2009. "Energy use in the Greek manufacturing sector: A methodological framework based on physical indicators with aggregation and decomposition analysis," Energy, Elsevier, vol. 34(1), pages 90-111.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Atalla, Tarek & Gualdi, Silvio & Lanza, Alessandro, 2018. "A global degree days database for energy-related applications," Energy, Elsevier, vol. 143(C), pages 1048-1055.
    2. Miguel Ángel Álvarez-Feijoo & Pedro Orgeira-Crespo & Elena Arce & Andrés Suárez-García & José Roberto Ribas, 2020. "Effect of Insulation on the Energy Demand of a Standardized Container Facility at Airports in Spain under Different Weather Conditions," Energies, MDPI, vol. 13(20), pages 1-15, October.
    3. Roshan, Gh.R. & Orosa, J.A & Nasrabadi, T., 2012. "Simulation of climate change impact on energy consumption in buildings, case study of Iran," Energy Policy, Elsevier, vol. 49(C), pages 731-739.
    4. Roshan, Gh.R. & Ghanghermeh, A.A. & Attia, S., 2017. "Determining new threshold temperatures for cooling and heating degree day index of different climatic zones of Iran," Renewable Energy, Elsevier, vol. 101(C), pages 156-167.
    5. Omarov, Bekarys & Memon, Shazim Ali & Kim, Jong, 2023. "A novel approach to develop climate classification based on degree days and building energy performance," Energy, Elsevier, vol. 267(C).
    6. Mehmet Bilgili, 2023. "Time series forecasting on cooling degree-days (CDD) using SARIMA model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(3), pages 2569-2592, September.
    7. Morakinyo, Tobi Eniolu & Ren, Chao & Shi, Yuan & Lau, Kevin Ka-Lun & Tong, Hang-Wai & Choy, Chun-Wing & Ng, Edward, 2019. "Estimates of the impact of extreme heat events on cooling energy demand in Hong Kong," Renewable Energy, Elsevier, vol. 142(C), pages 73-84.
    8. Abu Reza Md. Towfiqul Islam & Itmam Ahmed & Md. Siddiqur Rahman, 2020. "Trends in cooling and heating degree-days overtimes in Bangladesh? An investigation of the possible causes of changes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 101(3), pages 879-909, April.
    9. 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.
    10. Ozalp, C. & Saydam, D.B. & Çerçi, K.N. & Hürdoğan, E. & Moran, H., 2019. "Evaluation of a sample building with different type building elements in an energetic and environmental perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    11. 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.

    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. 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.
    2. Kenisarin, Murat & Kenisarina, Kamola, 2007. "Energy saving potential in the residential sector of Uzbekistan," Energy, Elsevier, vol. 32(8), pages 1319-1325.
    3. Kaynakli, O., 2008. "A study on residential heating energy requirement and optimum insulation thickness," Renewable Energy, Elsevier, vol. 33(6), pages 1164-1172.
    4. Szoplik, Jolanta, 2015. "Forecasting of natural gas consumption with artificial neural networks," Energy, Elsevier, vol. 85(C), pages 208-220.
    5. 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.
    6. 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.
    7. 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.
    8. Yang, Liu & Lam, Joseph C. & Tsang, C.L., 2008. "Energy performance of building envelopes in different climate zones in China," Applied Energy, Elsevier, vol. 85(9), pages 800-817, September.
    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. 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.
    11. 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.
    12. Roshan, Gh.R. & Orosa, J.A & Nasrabadi, T., 2012. "Simulation of climate change impact on energy consumption in buildings, case study of Iran," Energy Policy, Elsevier, vol. 49(C), pages 731-739.
    13. 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.
    14. Bulut, Hüsamettin & Büyükalaca, Orhan & YIlmaz, Tuncay, 2001. "Bin weather data for Turkey," Applied Energy, Elsevier, vol. 70(2), pages 135-155, October.
    15. Büyükalaca, Orhan & Bulut, Hüsamettin, 2004. "Detailed weather data for the provinces covered by the Southeastern Anatolia Project (GAP) of Turkey," Applied Energy, Elsevier, vol. 77(2), pages 187-204, February.
    16. 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.
    17. Ediger, Volkan S. & Akar, Sertac, 2007. "ARIMA forecasting of primary energy demand by fuel in Turkey," Energy Policy, Elsevier, vol. 35(3), pages 1701-1708, March.
    18. Lee, Wen-Shing, 2010. "Benchmarking the energy performance for cooling purposes in buildings using a novel index-total performance of energy for cooling purposes," Energy, Elsevier, vol. 35(1), pages 50-54.
    19. Kuru Merve & Calis Gulben, 2020. "Application of time series models for heating degree day forecasting," Organization, Technology and Management in Construction, Sciendo, vol. 12(1), pages 2137-2146, January.
    20. Ergun Yukseltan & Ahmet Yucekaya & Ayse Humeyra Bilge & Esra Agca Aktunc, 2020. "Forecasting Models for Daily Natural Gas Consumption Considering Periodic Variations and Demand Segregation," Papers 2003.13385, arXiv.org.

    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:34:y:2009:i:11:p:1807-1812. 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.