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Optimum insulation thicknesses of pipes with respect to different insulation materials, fuels and climate zones in Turkey

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  • Ertürk, Mustafa

Abstract

This article is about the effects of insulation thickness on the life cycle costs of steel pipes inside the pit (channel, duct) or above-ground structures with different diameters and sensitivity to economic parameters. The heating degree-day and life cycle cost procedures are used for the optimization and sensitivity analyses. For Afyon province in Turkey the fuels are coal, natural gas and fuel-oil. The insulation materials are rock wool, EPS and XPS. The results show that consideration of all the physical and economic conditions appear with the optimum insulation thickness that varies from 5 cm to 16 cm. Both lifetime and unit cost of insulation are sensitive to the insulation thickness. Additionally, the increased discount rate and cost per unit volume of insulation material lowers the optimum insulation thickness. In conclusion, it is expected that this study will provide a guide for engineers, where insulation is used for large diameter pipes.

Suggested Citation

  • Ertürk, Mustafa, 2016. "Optimum insulation thicknesses of pipes with respect to different insulation materials, fuels and climate zones in Turkey," Energy, Elsevier, vol. 113(C), pages 991-1003.
    • Handle: RePEc:eee:energy:v:113:y:2016:i:c:p:991-1003
    DOI: 10.1016/j.energy.2016.07.115
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    References listed on IDEAS

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    1. Öztürk, İ.T. & Karabay, H. & Bilgen, E., 2006. "Thermo-economic optimization of hot water piping systems: A comparison study," Energy, Elsevier, vol. 31(12), pages 2094-2107.
    2. 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.
    3. Büyükalaca, Orhan & Bulut, Hüsamettin & YIlmaz, Tuncay, 2001. "Analysis of variable-base heating and cooling degree-days for Turkey," Applied Energy, Elsevier, vol. 69(4), pages 269-283, August.
    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. Yildiz, Abdullah & Ersöz, Mustafa Ali, 2016. "The effect of wind speed on the economical optimum insulation thickness for HVAC duct applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1289-1300.
    6. Ristimäki, Miro & Säynäjoki, Antti & Heinonen, Jukka & Junnila, Seppo, 2013. "Combining life cycle costing and life cycle assessment for an analysis of a new residential district energy system design," Energy, Elsevier, vol. 63(C), pages 168-179.
    7. Yildiz, Abdullah & Ali Ersöz, Mustafa, 2015. "Determination of the economical optimum insulation thickness for VRF (variable refrigerant flow) systems," Energy, Elsevier, vol. 89(C), pages 835-844.
    8. Danielewicz, J. & Śniechowska, B. & Sayegh, M.A. & Fidorów, N. & Jouhara, H., 2016. "Three-dimensional numerical model of heat losses from district heating network pre-insulated pipes buried in the ground," Energy, Elsevier, vol. 108(C), pages 172-184.
    9. Sahin, Ahmet Z. & Kalyon, Muammer, 2005. "Maintaining uniform surface temperature along pipes by insulation," Energy, Elsevier, vol. 30(5), pages 637-647.
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    1. Daşdemir, Ali & Ertürk, Mustafa & Keçebaş, Ali & Demircan, Cihan, 2017. "Effects of air gap on insulation thickness and life cycle costs for different pipe diameters in pipeline," Energy, Elsevier, vol. 122(C), pages 492-504.

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