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Soil thermal conductivity prediction for district heating pre-insulated pipeline in operation

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  • Perpar, Matjaz
  • Rek, Zlatko
  • Bajric, Suvad
  • Zun, Iztok

Abstract

The research refers to the district heating (DH) system in Ljubljana, which includes 245km of highly diversified pipelines. The purpose of this study was to determine the effect of the soil thermal conductivity coefficient (λs) on the heat loss from pre-insulated pipes during operation. Pipeline geometry, material properties (particularly insulation and soil thermal conductivity) and time-dependent data on supply, return and environs temperature were considered. Measurements of temperature, moisture, thermal conductivity of soil and heat flux through the soil were carried out at the chosen locations on the pre-insulated pipeline. In addition, laboratory measurements were conducted on the soil samples from this site in order to determine the soil density, specific heat and thermal diffusivity. For the evaluation of heat loss, transient and steady-state numerical simulations of the soil temperature field were performed. In transient simulations, in addition to the impact of environment temperature, the influence of supply and return temperatures was taken into account. A method for λs prediction during pipeline operation is presented. The algorithm is based on a comparison of the measured (Θexp) and simulated (Θsim) temperatures in the selected period of time with the same boundary conditions.

Suggested Citation

  • Perpar, Matjaz & Rek, Zlatko & Bajric, Suvad & Zun, Iztok, 2012. "Soil thermal conductivity prediction for district heating pre-insulated pipeline in operation," Energy, Elsevier, vol. 44(1), pages 197-210.
    • Handle: RePEc:eee:energy:v:44:y:2012:i:1:p:197-210
    DOI: 10.1016/j.energy.2012.06.037
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    References listed on IDEAS

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    1. Dalla Rosa, A. & Christensen, J.E., 2011. "Low-energy district heating in energy-efficient building areas," Energy, Elsevier, vol. 36(12), pages 6890-6899.
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    Citations

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    Cited by:

    1. Guelpa, Elisa, 2021. "Impact of thermal masses on the peak load in district heating systems," Energy, Elsevier, vol. 214(C).
    2. Perpar, Matjaž & Rek, Zlatko, 2020. "Soil temperature gradient as a useful tool for small water leakage detection from district heating pipes in buried channels," Energy, Elsevier, vol. 201(C).
    3. Bertrand, Alexandre & Mian, Alberto & Kantor, Ivan & Aggoune, Riad & Maréchal, François, 2019. "Regional waste heat valorisation: A mixed integer linear programming method for energy service companies," Energy, Elsevier, vol. 167(C), pages 454-468.
    4. Wang, Yaran & You, Shijun & Zhang, Huan & Zheng, Xuejing & Zheng, Wandong & Miao, Qingwei & Lu, Gang, 2017. "Thermal transient prediction of district heating pipeline: Optimal selection of the time and spatial steps for fast and accurate calculation," Applied Energy, Elsevier, vol. 206(C), pages 900-910.
    5. Li, Yu & Rezgui, Yacine & Zhu, Hanxing, 2017. "District heating and cooling optimization and enhancement – Towards integration of renewables, storage and smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 281-294.
    6. Matjaž Perpar & Zlatko Rek, 2021. "The Ability of a Soil Temperature Gradient-Based Methodology to Detect Leaks from Pipelines in Buried District Heating Channels," Energies, MDPI, vol. 14(18), pages 1-13, September.
    7. Tsilingiridis, G. & Papakostas, K., 2014. "Investigating the relationship between air and ground temperature variations in shallow depths in northern Greece," Energy, Elsevier, vol. 73(C), pages 1007-1016.
    8. Alla Yu. Vladova, 2022. "Remote Geotechnical Monitoring of a Buried Oil Pipeline," Mathematics, MDPI, vol. 10(11), pages 1-14, May.
    9. Fester, Jakob & Østergaard, Peter Friis & Bentsen, Fredrik & Nielsen, Brian Kongsgaard, 2023. "A data-driven method for heat loss estimation from district heating service pipes using heat meter- and GIS data," Energy, Elsevier, vol. 277(C).

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