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A study on residential heating energy requirement and optimum insulation thickness

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  • Kaynakli, O.

Abstract

Heat loss from buildings has a considerable share in waste of energy especially in Turkey since no or little insulation is used in existing and new buildings. Therefore, energy savings can be obtained by determining of heat loss characteristics with using proper thickness of insulation. For this purpose, in this study, calculations of optimum insulation thickness are carried out on a prototype building in Bursa as a sample city. Considering long term and current outdoor air temperature records (from 1992 to 2005), degree-hour (DH) values are calculated, and the variation of annual energy requirement of the building is investigated for various architectural design properties (such as air infiltration rate, glazing type, and area). Then, the effects of the insulation thickness on the energy requirement and total cost are presented. Based on life cycle cost (LCC) analysis, the optimum insulation thicknesses are determined for different fuel types. As a conclusion, the length of the heating period is average 221 days, and the mean heating DH value is found as 45113.2 besides changing between 38000 and 55000. The optimum insulation thicknesses for Bursa vary between 5.3 and 12.4cm depending on fuel types. In addition to this, the variation in Turkey is more dramatically.

Suggested Citation

  • Kaynakli, O., 2008. "A study on residential heating energy requirement and optimum insulation thickness," Renewable Energy, Elsevier, vol. 33(6), pages 1164-1172.
  • Handle: RePEc:eee:renene:v:33:y:2008:i:6:p:1164-1172
    DOI: 10.1016/j.renene.2007.07.001
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    6. Omer Kaynakli, 2011. "Parametric Investigation of Optimum Thermal Insulation Thickness for External Walls," Energies, MDPI, vol. 4(6), pages 1-15, June.
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    13. Al-Sanea, Sami A. & Zedan, M.F., 2011. "Improving thermal performance of building walls by optimizing insulation layer distribution and thickness for same thermal mass," Applied Energy, Elsevier, vol. 88(9), pages 3113-3124.
    14. Adamczyk, Janusz & Dylewski, Robert, 2017. "The impact of thermal insulation investments on sustainability in the construction sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 421-429.
    15. Özkan, Derya B. & Onan, Cenk, 2011. "Optimization of insulation thickness for different glazing areas in buildings for various climatic regions in Turkey," Applied Energy, Elsevier, vol. 88(4), pages 1331-1342, April.
    16. Joanna Ferdyn-Grygierek & Krzysztof Grygierek, 2017. "Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms," Energies, MDPI, vol. 10(10), pages 1-20, October.
    17. Küçüktopcu, Erdem & Cemek, Bilal, 2018. "A study on environmental impact of insulation thickness of poultry building walls," Energy, Elsevier, vol. 150(C), pages 583-590.
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    19. Mahlia, T.M.I. & Iqbal, A., 2010. "Cost benefits analysis and emission reductions of optimum thickness and air gaps for selected insulation materials for building walls in Maldives," Energy, Elsevier, vol. 35(5), pages 2242-2250.
    20. De Mel, Ishanki & Bierkens, Floris & Liu, Xinyao & Leach, Matthew & Chitnis, Mona & Liu, Lirong & Short, Michael, 2023. "A decision-support framework for residential heating decarbonisation policymaking," Energy, Elsevier, vol. 268(C).
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    22. De Boeck, L. & Verbeke, S. & Audenaert, A. & De Mesmaeker, L., 2015. "Improving the energy performance of residential buildings: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 960-975.

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