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Thermoeconomic analysis method for optimization of insulation thickness for the four different climatic regions of Turkey

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  • Ucar, Aynur

Abstract

Thermal insulation is one of the most effective energy-conservation measures in buildings. For this reason, the energy savings can be obtained by using proper thickness of insulation in buildings. In this study, the optimum thickness of insulation considering condensed vapor in external walls are found by using exergoeconomic analysis. The four various cities from four climate zones of Turkey, namely, Antalya, İstanbul, Elazığ and Erzurum are selected for the analysis. The optimum insulation thickness for Antalya, İstanbul, Elazığ and Erzurum are obtained as 0.038, 0.046, 0.057 and 0.0739m at indoor temperature of 20°C, respectively. The results show that the optimum insulation thickness at the indoor temperature of 18 and 22°C are determined as 0.0663 and 0.0816m for the city of Erzurum, respectively. The energy saving for the city of Erzurum is found as 77.2% for the indoor temperature of 18°C, 79.0% for the indoor temperature of 20°C and 80.6% for the indoor temperature of 22°C, when the optimum insulation is applied.

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  • Ucar, Aynur, 2010. "Thermoeconomic analysis method for optimization of insulation thickness for the four different climatic regions of Turkey," Energy, Elsevier, vol. 35(4), pages 1854-1864.
  • Handle: RePEc:eee:energy:v:35:y:2010:i:4:p:1854-1864
    DOI: 10.1016/j.energy.2009.12.022
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    Cited by:

    1. García Kerdan, Iván & Raslan, Rokia & Ruyssevelt, Paul & Morillón Gálvez, David, 2017. "ExRET-Opt: An automated exergy/exergoeconomic simulation framework for building energy retrofit analysis and design optimisation," Applied Energy, Elsevier, vol. 192(C), pages 33-58.
    2. Saboor Shaik & Kirankumar Gorantla & Aritra Ghosh & Chelliah Arumugam & Venkata Ramana Maduru, 2021. "Energy Savings and Carbon Emission Mitigation Prospective of Building’s Glazing Variety, Window-to-Wall Ratio and Wall Thickness," Energies, MDPI, vol. 14(23), pages 1-19, December.
    3. Aditya, L. & Mahlia, T.M.I. & Rismanchi, B. & Ng, H.M. & Hasan, M.H. & Metselaar, H.S.C. & Muraza, Oki & Aditiya, H.B., 2017. "A review on insulation materials for energy conservation in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1352-1365.
    4. Sara Elhadad & Zoltan Orban, 2021. "A Sensitivity Analysis for Thermal Performance of Building Envelope Design Parameters," Sustainability, MDPI, vol. 13(24), pages 1-17, December.
    5. Xiaojing Meng & Beibei Wei & Yingni Zhai, 2020. "Sensitivity Analysis of Envelope Design Parameters of Industrial Buildings with Natural Ventilation," Sustainability, MDPI, vol. 12(24), pages 1-12, December.
    6. 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.
    7. Kaynakli, Omer, 2014. "Economic thermal insulation thickness for pipes and ducts: A review study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 184-194.
    8. Audenaert, A. & De Boeck, L. & Geudens, K. & Buyle, M., 2012. "Cost and E-level analysis of different dwelling types and different heating systems with or without heat exchanger," Energy, Elsevier, vol. 44(1), pages 604-610.
    9. 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.
    10. García Kerdan, Iván & Raslan, Rokia & Ruyssevelt, Paul & Morillón Gálvez, David, 2017. "A comparison of an energy/economic-based against an exergoeconomic-based multi-objective optimisation for low carbon building energy design," Energy, Elsevier, vol. 128(C), pages 244-263.

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