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Optimum insulation thickness for external walls on different orientations considering the speed and direction of the wind

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  • Axaopoulos, Ioannis
  • Axaopoulos, Petros
  • Gelegenis, John

Abstract

Thermal insulation is generally installed in the envelope of residential buildings to improve their thermal performance. However, the selection of the optimum insulation thickness requires a detailed thermal energy and economic analysis. This paper determines the optimum insulation thickness for external walls of different composition and orientation, considering both the heating and cooling period and taking into account the wind speed and direction. Three types of composite, thermally insulated walls have been selected. Annual heating and cooling transmission loads are being calculated based on transient heat flow through the external walls and by using hourly climatic data of the city of Athens, Greece. The available wind speed and direction data have been statistically analyzed for the assessment of the prevalent wind directions in the area. An economic analysis, based on the life cycle savings method has been performed for each configuration, various thicknesses of insulation material and different orientations. The optimum insulation thickness for any type of wall and orientation was found to be between 7.1cm and 10.1cm. Furthermore, a sensitivity analysis indicates whether changes of the economic parameters affect the optimum insulation thickness.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:117:y:2014:i:c:p:167-175
    DOI: 10.1016/j.apenergy.2013.12.008
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    1. Jie, Pengfei & Zhang, Fenghe & Fang, Zhou & Wang, Hongbo & Zhao, Yunfeng, 2018. "Optimizing the insulation thickness of walls and roofs of existing buildings based on primary energy consumption, global cost and pollutant emissions," Energy, Elsevier, vol. 159(C), pages 1132-1147.
    2. Méndez Echenagucia, Tomás & Capozzoli, Alfonso & Cascone, Ylenia & Sassone, Mario, 2015. "The early design stage of a building envelope: Multi-objective search through heating, cooling and lighting energy performance analysis," Applied Energy, Elsevier, vol. 154(C), pages 577-591.
    3. Pisello, Anna Laura & Asdrubali, Francesco, 2014. "Human-based energy retrofits in residential buildings: A cost-effective alternative to traditional physical strategies," Applied Energy, Elsevier, vol. 133(C), pages 224-235.
    4. Axaopoulos, Ioannis & Axaopoulos, Petros & Panayiotou, Gregoris & Kalogirou, Soteris & Gelegenis, John, 2015. "Optimal economic thickness of various insulation materials for different orientations of external walls considering the wind characteristics," Energy, Elsevier, vol. 90(P1), pages 939-952.
    5. Adekomaya, Oludaisi & Jamiru, Tamba & Sadiku, Rotimi & Huan, Zhongie, 2017. "Minimizing energy consumption in refrigerated vehicles through alternative external wall," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 89-93.
    6. Daouas, Naouel, 2016. "Impact of external longwave radiation on optimum insulation thickness in Tunisian building roofs based on a dynamic analytical model," Applied Energy, Elsevier, vol. 177(C), pages 136-148.
    7. 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).
    8. 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.
    9. Berger, Julien & Mendes, Nathan, 2017. "An innovative method for the design of high energy performance building envelopes," Applied Energy, Elsevier, vol. 190(C), pages 266-277.

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