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Numerical determination of temperature distribution in heating network

Author

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  • Ocłoń, Paweł
  • Nowak-Ocłoń, Marzena
  • Vallati, Andrea
  • Quintino, Alessandro
  • Corcione, Massimo

Abstract

This paper presents the determination of the heat losses of the pre-insulated pipe and twin pipe in the heating network. The paper compares the heat losses calculated by using the analytical solution (1D model) and numerical model (2D model) based on the Finite Element Method. The developed numerical model considered undisturbed ground temperature at various depths. Therefore, it allowed to study the effect of temperature distribution at various ground depths on heat losses in heating network. Various variants of insulation are considered including standard, plus and plus-plus types for pre-insulated tubes. The remaining heat loss calculation is based merely on temperature levels and thermal resistance factors (in the ground), determined by the pipe dimensions and materials. The differences in calculated heat losses by analytical and numerical model do not exceed 10%.

Suggested Citation

  • Ocłoń, Paweł & Nowak-Ocłoń, Marzena & Vallati, Andrea & Quintino, Alessandro & Corcione, Massimo, 2019. "Numerical determination of temperature distribution in heating network," Energy, Elsevier, vol. 183(C), pages 880-891.
    • Handle: RePEc:eee:energy:v:183:y:2019:i:c:p:880-891
    DOI: 10.1016/j.energy.2019.06.163
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    References listed on IDEAS

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    8. Sartor, K. & Dewalef, P., 2017. "Experimental validation of heat transport modelling in district heating networks," Energy, Elsevier, vol. 137(C), pages 961-968.
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    Citations

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    Cited by:

    1. Jakubek, Dariusz & Ocłoń, Paweł & Nowak-Ocłoń, Marzena & Sułowicz, Maciej & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír, 2023. "Mathematical modelling and model validation of the heat losses in district heating networks," Energy, Elsevier, vol. 267(C).
    2. Nowak-Ocłoń, Marzena & Ocłoń, Paweł, 2020. "Thermal and economic analysis of preinsulated and twin-pipe heat network operation," Energy, Elsevier, vol. 193(C).
    3. Libor Kudela & Radomír Chýlek & Jiří Pospíšil, 2020. "Efficient Integration of Machine Learning into District Heating Predictive Models," Energies, MDPI, vol. 13(23), pages 1-12, December.
    4. Tomasz Janusz Teleszewski & Dorota Anna Krawczyk & Antonio Rodero, 2019. "Reduction of Heat Losses Using Quadruple Heating Pre-Insulated Networks: A Case Study," Energies, MDPI, vol. 12(24), pages 1-12, December.
    5. Manservigi, Lucrezia & Bahlawan, Hilal & Losi, Enzo & Morini, Mirko & Spina, Pier Ruggero & Venturini, Mauro, 2022. "A diagnostic approach for fault detection and identification in district heating networks," Energy, Elsevier, vol. 251(C).

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