IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i18p5712-d633102.html
   My bibliography  Save this article

The Ability of a Soil Temperature Gradient-Based Methodology to Detect Leaks from Pipelines in Buried District Heating Channels

Author

Listed:
  • Matjaž Perpar

    (Laboratory for Fluid Dynamics and Thermodynamics, Faculty of Mechanical Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia)

  • Zlatko Rek

    (Laboratory for Fluid Dynamics and Thermodynamics, Faculty of Mechanical Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia)

Abstract

We carried out several numerical experiments to analyze how different boundary conditions affect the ability to detect small pipeline leaks. Our method is based on determining the soil temperature gradient above a buried district heating channel. The equivalent thermal conductivity of a wet insulation ( λ eq ) value of 0.5 W/(m·K) was used to mimic a small water leakage. To evaluate the heat loss through the channel cross section, the heat conduction model was used for the pipe insulation, the concrete, and the soil, while the convection model was considered within the channel. The following effects were used to simulate different operating conditions: heat convection at the soil surface, leakage only from the supply or return pipe, soil height above the channel, soil thermal conductivity, and pipe diameter. With the exception of leakage only from the return pipe and low soil thermal conductivity 0.4 W/(m·K), the results showed a doubling of the soil temperature gradient when compared with the no-leakage case. This fact undoubtedly confirms the potential of the method, which is particularly suitable for leak detection in old pipelines that have priority for renovation. A key added value of this research is that the soil temperature gradient-based leak detection technique was found useful in most foreseeable DH operating situations.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5712-:d:633102
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/18/5712/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/18/5712/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stanislav Chicherin & Vladislav Mašatin & Andres Siirde & Anna Volkova, 2020. "Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy," Energies, MDPI, vol. 13(17), pages 1-15, September.
    2. Lund, Henrik & Østergaard, Poul Alberg & Chang, Miguel & Werner, Sven & Svendsen, Svend & Sorknæs, Peter & Thorsen, Jan Eric & Hvelplund, Frede & Mortensen, Bent Ole Gram & Mathiesen, Brian Vad & Boje, 2018. "The status of 4th generation district heating: Research and results," Energy, Elsevier, vol. 164(C), pages 147-159.
    3. Gerald Schweiger & Fabian Kuttin & Alfred Posch, 2019. "District Heating Systems: An Analysis of Strengths, Weaknesses, Opportunities, and Threats of the 4GDH," Energies, MDPI, vol. 12(24), pages 1-15, December.
    4. 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).
    5. 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.
    6. Buffa, Simone & Cozzini, Marco & D’Antoni, Matteo & Baratieri, Marco & Fedrizzi, Roberto, 2019. "5th generation district heating and cooling systems: A review of existing cases in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 504-522.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jing, Mengke & Zhang, Shujie & Fu, Lisong & Cao, Guoquan & Wang, Rui, 2023. "Reducing heat losses from aging district heating pipes by using cured-in-place pipe liners," Energy, Elsevier, vol. 273(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Wirtz, Marco, 2023. "nPro: A web-based planning tool for designing district energy systems and thermal networks," Energy, Elsevier, vol. 268(C).
    3. Jing, Mengke & Zhang, Shujie & Fu, Lisong & Cao, Guoquan & Wang, Rui, 2023. "Reducing heat losses from aging district heating pipes by using cured-in-place pipe liners," Energy, Elsevier, vol. 273(C).
    4. Chicherin, Stanislav & Anvari-Moghaddam, Amjad, 2021. "Adjusting heat demands using the operational data of district heating systems," Energy, Elsevier, vol. 235(C).
    5. 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).
    6. Jodeiri, A.M. & Goldsworthy, M.J. & Buffa, S. & Cozzini, M., 2022. "Role of sustainable heat sources in transition towards fourth generation district heating – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    7. Østergaard, Poul Alberg & Werner, Sven & Dyrelund, Anders & Lund, Henrik & Arabkoohsar, Ahmad & Sorknæs, Peter & Gudmundsson, Oddgeir & Thorsen, Jan Eric & Mathiesen, Brian Vad, 2022. "The four generations of district cooling - A categorization of the development in district cooling from origin to future prospect," Energy, Elsevier, vol. 253(C).
    8. Wang, Yang & Zhang, Shanhong & Chow, David & Kuckelkorn, Jens M., 2021. "Evaluation and optimization of district energy network performance: Present and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    9. Grzegorz Kinelski & Jakub Stęchły & Piotr Bartkowiak, 2022. "Various Facets of Sustainable Smart City Management: Selected Examples from Polish Metropolitan Areas," Energies, MDPI, vol. 15(9), pages 1-23, April.
    10. Behzadi, Amirmohammad & Holmberg, Sture & Duwig, Christophe & Haghighat, Fariborz & Ooka, Ryozo & Sadrizadeh, Sasan, 2022. "Smart design and control of thermal energy storage in low-temperature heating and high-temperature cooling systems: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    11. Selva Calixto & Marco Cozzini & Giampaolo Manzolini, 2021. "Modelling of an Existing Neutral Temperature District Heating Network: Detailed and Approximate Approaches," Energies, MDPI, vol. 14(2), pages 1-16, January.
    12. Hrvoje Dorotić & Kristijan Čuljak & Josip Miškić & Tomislav Pukšec & Neven Duić, 2022. "Technical and Economic Assessment of Supermarket and Power Substation Waste Heat Integration into Existing District Heating Systems," Energies, MDPI, vol. 15(5), pages 1-29, February.
    13. Wirtz, Marco & Kivilip, Lukas & Remmen, Peter & Müller, Dirk, 2020. "5th Generation District Heating: A novel design approach based on mathematical optimization," Applied Energy, Elsevier, vol. 260(C).
    14. Lund, Henrik & Østergaard, Poul Alberg & Nielsen, Tore Bach & Werner, Sven & Thorsen, Jan Eric & Gudmundsson, Oddgeir & Arabkoohsar, Ahmad & Mathiesen, Brian Vad, 2021. "Perspectives on fourth and fifth generation district heating," Energy, Elsevier, vol. 227(C).
    15. Stanislav Chicherin & Vladislav Mašatin & Andres Siirde & Anna Volkova, 2020. "Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy," Energies, MDPI, vol. 13(17), pages 1-15, September.
    16. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    17. Wheatcroft, Edward & Wynn, Henry P. & Lygnerud, Kristina & Bonvicini, Giorgio & Bonvicini, Giorgio & Lenote, Daniela, 2020. "The role of low temperature waste heat recovery in achieving 2050 goals: a policy positioning paper," LSE Research Online Documents on Economics 104136, London School of Economics and Political Science, LSE Library.
    18. Averfalk, Helge & Werner, Sven, 2020. "Economic benefits of fourth generation district heating," Energy, Elsevier, vol. 193(C).
    19. Guelpa, E. & Capone, M. & Sciacovelli, A. & Vasset, N. & Baviere, R. & Verda, V., 2023. "Reduction of supply temperature in existing district heating: A review of strategies and implementations," Energy, Elsevier, vol. 262(PB).
    20. Reiners, Tobias & Gross, Michel & Altieri, Lisa & Wagner, Hermann-Josef & Bertsch, Valentin, 2021. "Heat pump efficiency in fifth generation ultra-low temperature district heating networks using a wastewater heat source," Energy, Elsevier, vol. 236(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5712-:d:633102. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.