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Modelling the optimum distribution of insulation material

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  • Sevindir, M. Kemal
  • Demir, Hakan
  • Ağra, Özden
  • Atayılmaz, Ş. Özgür
  • Teke, İsmail

Abstract

The optimum insulation thickness is determined according to investment and operation and maintenance costs using various economic analysis techniques. Calculation of thickness distribution according to maximum temperature differences may give undesired results if the temperature differences varies during time. Thus, the variation of temperature differences should be taken into account by optimizing the distribution of insulation material according to total amount of heat transfer. Also, neighboring volumes are kept at constant temperatures by means of cooling and heating by refrigerators and heat pumps. Therefore, total energy cost for both sides of the wall (heated/cooled one side and cooled/heated at the other side) should be considered. In this study, a general solution of the optimum distribution of thermal insulation material for a given investment cost or material volume is provided for the volumes confined with environments at different temperatures considering the total amount of heat transfer and total energy cost. Also a case study is given to explain the usage of the new method.

Suggested Citation

  • Sevindir, M. Kemal & Demir, Hakan & Ağra, Özden & Atayılmaz, Ş. Özgür & Teke, İsmail, 2017. "Modelling the optimum distribution of insulation material," Renewable Energy, Elsevier, vol. 113(C), pages 74-84.
  • Handle: RePEc:eee:renene:v:113:y:2017:i:c:p:74-84
    DOI: 10.1016/j.renene.2017.05.070
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    References listed on IDEAS

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    1. Axaopoulos, Ioannis & Axaopoulos, Petros & Gelegenis, John, 2014. "Optimum insulation thickness for external walls on different orientations considering the speed and direction of the wind," Applied Energy, Elsevier, vol. 117(C), pages 167-175.
    2. Pan, Dongmei & Chan, Mingyin & Deng, Shiming & Lin, Zhongping, 2012. "The effects of external wall insulation thickness on annual cooling and heating energy uses under different climates," Applied Energy, Elsevier, vol. 97(C), pages 313-318.
    3. Daouas, Naouel, 2011. "A study on optimum insulation thickness in walls and energy savings in Tunisian buildings based on analytical calculation of cooling and heating transmission loads," Applied Energy, Elsevier, vol. 88(1), pages 156-164, January.
    4. Bahadori, Alireza & Vuthaluru, Hari B., 2010. "A simple method for the estimation of thermal insulation thickness," Applied Energy, Elsevier, vol. 87(2), pages 613-619, February.
    5. Hasan, Afif, 1999. "Optimizing insulation thickness for buildings using life cycle cost," Applied Energy, Elsevier, vol. 63(2), pages 115-124, June.
    6. Omer Kaynakli, 2011. "Parametric Investigation of Optimum Thermal Insulation Thickness for External Walls," Energies, MDPI, vol. 4(6), pages 1-15, June.
    7. Al-Sanea, Sami A. & Zedan, M.F. & Al-Ajlan, Saleh A., 2005. "Effect of electricity tariff on the optimum insulation-thickness in building walls as determined by a dynamic heat-transfer model," Applied Energy, Elsevier, vol. 82(4), pages 313-330, December.
    8. Ozel, Meral, 2011. "Effect of wall orientation on the optimum insulation thickness by using a dynamic method," Applied Energy, Elsevier, vol. 88(7), pages 2429-2435, July.
    9. Li, Y. F. & Chow, W. K., 2005. "Optimum insulation-thickness for thermal and freezing protection," Applied Energy, Elsevier, vol. 80(1), pages 23-33, January.
    10. Bektas Ekici, Betul & Aytac Gulten, Ayca & Aksoy, U. Teoman, 2012. "A study on the optimum insulation thicknesses of various types of external walls with respect to different materials, fuels and climate zones in Turkey," Applied Energy, Elsevier, vol. 92(C), pages 211-217.
    11. 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.
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    1. Jie, Pengfei & Yan, Fuchun & Li, Jing & Zhang, Yumei & Wen, Zhimei, 2019. "Optimizing the insulation thickness of walls of existing buildings with CHP-based district heating systems," Energy, Elsevier, vol. 189(C).
    2. Rijing Zhao & Lin Qiao & Zijian Gao & Dong Huang, 2020. "Effect of Vacuum Insulation Panels on Energy Consumption and Thermal Load Transfer between Compartments in a Three-Temperature Frost-Free Refrigerator," Energies, MDPI, vol. 13(7), pages 1-14, March.

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