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Determination of the economical optimum insulation thickness for VRF (variable refrigerant flow) systems

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  • Yildiz, Abdullah
  • Ali Ersöz, Mustafa

Abstract

This study deals with the investigation into optimum insulation thickness of installed inside building pipe network of VRF (variable refrigerant flow) systems. Optimum insulation thickness, energy savings over a lifetime of 10 years and payback periods are determined for high pressure gas pipelines, low pressure gas pipelines and low pressure liquid pipelines under the heating-only and cooling-only modes of the three-pipe VRF system using R-410A as refrigerant. By using the P1–P2 method, the value of the amount of the net energy savings is calculated. Under heating mode of VRF system, while the optimum insulation thickness varies between 16 and 20 mm depending on the pipe sections of high pressure gas pipeline, it varies from 11 to 13 mm for the pipe sections of low pressure liquid pipeline. Under cooling mode of VRF system, the optimum insulation thickness varies between 7 and 8 mm for pipe sections of low pressure gas pipeline and low pressure liquid pipeline.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:89:y:2015:i:c:p:835-844
    DOI: 10.1016/j.energy.2015.06.020
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Ai, Wei & Wang, Liang & Lin, Xipeng & Zhang, Shuang & Bai, Yakai & Chen, Haisheng, 2023. "Mathematical and thermo-economic analysis of thermal insulation for thermal energy storage applications," Renewable Energy, Elsevier, vol. 213(C), pages 233-245.
    2. 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.
    3. Gilani, Hooman Azad & Hoseinzadeh, Siamak & Karimi, Hirou & Karimi, Ako & Hassanzadeh, Amir & Garcia, Davide Astiaso, 2021. "Performance analysis of integrated solar heat pump VRF system for the low energy building in Mediterranean island," Renewable Energy, Elsevier, vol. 174(C), pages 1006-1019.
    4. Liu, Jiangyan & Wang, Jiangyu & Li, Guannan & Chen, Huanxin & Shen, Limei & Xing, Lu, 2017. "Evaluation of the energy performance of variable refrigerant flow systems using dynamic energy benchmarks based on data mining techniques," Applied Energy, Elsevier, vol. 208(C), pages 522-539.
    5. Kim, Min Jae & Kim, Tong Seop, 2017. "Feasibility study on the influence of steam injection in the compressed air energy storage system," Energy, Elsevier, vol. 141(C), pages 239-249.
    6. 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.
    7. Li, Guannan & Hu, Yunpeng & Chen, Huanxin & Li, Haorong & Hu, Min & Guo, Yabin & Liu, Jiangyan & Sun, Shaobo & Sun, Miao, 2017. "Data partitioning and association mining for identifying VRF energy consumption patterns under various part loads and refrigerant charge conditions," Applied Energy, Elsevier, vol. 185(P1), pages 846-861.

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