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The Prediction of Fuel and Energy Consumption by Using Degree-days Method for Residential Buildings in Denizli

Received: 13 June 2016     Accepted: 21 June 2016     Published: 9 July 2016
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Abstract

Energy analysis has an important role on optimum design of HVAC systems of buildings. Although there are different energy analysis methods, degree-days method is the easiest and the most reliable one for energy analysis of residential buildings. The main objective of this paper is to present case study for the prediction of total coal and energy consumption by using degree-days method for Denizli, Turkey. On degree-days method, hourly temperature values were used in order to obtain more definite results. This paper is considered at two steps. In the first step, depending on the number of residences, total coal and energy consumptions for uninsulated buildings were predicted for 16, 18, 20, and 22°C base temperatures in 2010, 2015, 2020 and 2023. For the second step, assuming the buildings are insulated (polystyrene for external wall and glass wool for roof), total coal and energy consumptions were predicted for the same base temperatures in the same years. The total coal consumption of insulated buildings for 22°C base temperatures in 2010 is 29% lower than the prediction of the total coal consumption of uninsulated buildings for 16°C base temperatures in the same year.

Published in International Journal of Materials Science and Applications (Volume 5, Issue 6-1)

This article belongs to the Special Issue Energy and Materials

DOI 10.11648/j.ijmsa.s.2016050601.12
Page(s) 6-10
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Degree-days, Residential Buildings, Coal Consumption

References
[1] TEI, Turkey/Economic Indicators, http://www.tradingeconomics.com/turkey/indicators, 2016
[2] A. Demirbaş, “ Energy balance, energy sources, energy policy, future developments and energy investments in Turke. Energy Conversion & Management 2001, 42:1239-1253.
[3] EEA, The European Environment Agency, Country profile - Distinguishing factors (Turkey) http://www.eea.europa.eu/soer/countries/tr/country-introduction-turkey, 2015
[4] H. Sarak, A. Satman, “The degree-day method to estimate the residential heating natural gas consumption in Turkey” Energy 2003, 28:929-939.
[5] A Duryamaz , M. Kadıoğlu, Z. Şen “An Application of degree-hours method to estimate the residential heating energy requirement and fuel consumption in İstanbul” Energy 2000, 25:1245-1256.
[6] R. Gutierrez, A. Nafidi , R.G. Sanchez “Forecasting total natural- gas consumption in Spain by using the stochastic Gompertz innovation diffusion model” Applied Energy 2005, 80:115-124.
[7] J. Siemek, S. Nagy S. Rychlicki “Estimation of natural-gas consumption iv Poland based on the logistic-curve interpretion” Applied Energy 2002, 75:1-7.
[8] K. Çomaklı , B. Yüksel“ Optimum insulation thickness of external walls for energy saving. Applied Thermal Engineering 2003, 23:473-479.
[9] M.S. Mohsen , B.A. “Some prospects of energy savings in buildings” Energy Conversion and Managemet 2001, 42:1307-1315.
[10] A. Hasan “Optimizing insulation thickness for buildings using life cycle cost” Applied Energy 1999, 63:115-129.
[11] G.C. Bakos “ Insulation protection studies for energy saving in residential and tertiary sector” Energy and Buildings 2000, 31:251-259.
[12] P:B. Taylor, E.H. Mathews, M. Kleingeld, G.W.“ The effect of ceiling insulation on indoor comfort” Building and Environment 2000, 35:339-346.
[13] Ö. A. Dombayci, M. Golcu, Y. Pancar“ Optimization of insulation thickness for external walls using different energy sources” Applied Energy 2006, 83:921-928.
[14] Official Statictics of Meterological, The State Meterological Affairs General Directorate, http://www.mgm.gov.tr/veridegerlendirme/il-ve-ilceler-istatistik.aspx?m=DENIZLI, 2016.
[15] Turkish Standard Institute, Thermal insulation requirements for building, Standard Number: TS 825, Official Newspaper Number 27291, Revised July 2009.
[16] O. Büyükalaca, H. Bulut, T. Yılmaz“ Analiysis of variable- base heating and cooling degree-days for Turkey” Applied Energy 2001, 69:269-283.
[17] Building Census 2000, State Institute of Statistics Prime Ministry Republic of Turkey, ISBN 975-19-2819-2, State Institute of Statistics, Printing Division, September 2001.
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    Ö. Altan Dombaycı, Harun Kemal OZTURK. (2016). The Prediction of Fuel and Energy Consumption by Using Degree-days Method for Residential Buildings in Denizli. International Journal of Materials Science and Applications, 5(6-1), 6-10. https://doi.org/10.11648/j.ijmsa.s.2016050601.12

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    ACS Style

    Ö. Altan Dombaycı; Harun Kemal OZTURK. The Prediction of Fuel and Energy Consumption by Using Degree-days Method for Residential Buildings in Denizli. Int. J. Mater. Sci. Appl. 2016, 5(6-1), 6-10. doi: 10.11648/j.ijmsa.s.2016050601.12

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    AMA Style

    Ö. Altan Dombaycı, Harun Kemal OZTURK. The Prediction of Fuel and Energy Consumption by Using Degree-days Method for Residential Buildings in Denizli. Int J Mater Sci Appl. 2016;5(6-1):6-10. doi: 10.11648/j.ijmsa.s.2016050601.12

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  • @article{10.11648/j.ijmsa.s.2016050601.12,
      author = {Ö. Altan Dombaycı and Harun Kemal OZTURK},
      title = {The Prediction of Fuel and Energy Consumption by Using Degree-days Method for Residential Buildings in Denizli},
      journal = {International Journal of Materials Science and Applications},
      volume = {5},
      number = {6-1},
      pages = {6-10},
      doi = {10.11648/j.ijmsa.s.2016050601.12},
      url = {https://doi.org/10.11648/j.ijmsa.s.2016050601.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmsa.s.2016050601.12},
      abstract = {Energy analysis has an important role on optimum design of HVAC systems of buildings. Although there are different energy analysis methods, degree-days method is the easiest and the most reliable one for energy analysis of residential buildings. The main objective of this paper is to present case study for the prediction of total coal and energy consumption by using degree-days method for Denizli, Turkey. On degree-days method, hourly temperature values were used in order to obtain more definite results. This paper is considered at two steps. In the first step, depending on the number of residences, total coal and energy consumptions for uninsulated buildings were predicted for 16, 18, 20, and 22°C base temperatures in 2010, 2015, 2020 and 2023. For the second step, assuming the buildings are insulated (polystyrene for external wall and glass wool for roof), total coal and energy consumptions were predicted for the same base temperatures in the same years. The total coal consumption of insulated buildings for 22°C base temperatures in 2010 is 29% lower than the prediction of the total coal consumption of uninsulated buildings for 16°C base temperatures in the same year.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - The Prediction of Fuel and Energy Consumption by Using Degree-days Method for Residential Buildings in Denizli
    AU  - Ö. Altan Dombaycı
    AU  - Harun Kemal OZTURK
    Y1  - 2016/07/09
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ijmsa.s.2016050601.12
    DO  - 10.11648/j.ijmsa.s.2016050601.12
    T2  - International Journal of Materials Science and Applications
    JF  - International Journal of Materials Science and Applications
    JO  - International Journal of Materials Science and Applications
    SP  - 6
    EP  - 10
    PB  - Science Publishing Group
    SN  - 2327-2643
    UR  - https://doi.org/10.11648/j.ijmsa.s.2016050601.12
    AB  - Energy analysis has an important role on optimum design of HVAC systems of buildings. Although there are different energy analysis methods, degree-days method is the easiest and the most reliable one for energy analysis of residential buildings. The main objective of this paper is to present case study for the prediction of total coal and energy consumption by using degree-days method for Denizli, Turkey. On degree-days method, hourly temperature values were used in order to obtain more definite results. This paper is considered at two steps. In the first step, depending on the number of residences, total coal and energy consumptions for uninsulated buildings were predicted for 16, 18, 20, and 22°C base temperatures in 2010, 2015, 2020 and 2023. For the second step, assuming the buildings are insulated (polystyrene for external wall and glass wool for roof), total coal and energy consumptions were predicted for the same base temperatures in the same years. The total coal consumption of insulated buildings for 22°C base temperatures in 2010 is 29% lower than the prediction of the total coal consumption of uninsulated buildings for 16°C base temperatures in the same year.
    VL  - 5
    IS  - 6-1
    ER  - 

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Author Information
  • Department of Mechanical Engineering, Engineering Faculty, Pamukkale University, Kinikli, Denizli, Turkey

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