IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i24p4699-d296157.html
   My bibliography  Save this article

Reduction of Heat Losses Using Quadruple Heating Pre-Insulated Networks: A Case Study

Author

Listed:
  • Tomasz Janusz Teleszewski

    (Department of HVAC Engineering, Bialystok University of Technology, 15-351 Bialystok, Poland)

  • Dorota Anna Krawczyk

    (Department of HVAC Engineering, Bialystok University of Technology, 15-351 Bialystok, Poland)

  • Antonio Rodero

    (School of Engineering Sciences of Belmez, University of Cordoba, 14240 Cordoba, Spain)

Abstract

The paper presents an analysis of heat loss and reductions of annual emissions of air pollutants of a quadruple pre-insulated heating network by comparing this solution with the existing pre-insulated network consisting of four pre-insulated single pipes and the variant consisting of two twin pipe pre-insulated. For calculations, an existing heating network located in central Poland was adopted, where heat is transported for heating purposes of buildings and domestic hot water with circulation of domestic hot water through four separate pre-insulated underground pipes. The idea of the construction of four pre-insulated pipes presented in the paper consists in the location of four steel pipes in a common round thermal insulation, which perform the role of heat transport for heating purposes in multi-family buildings (supply and return) and two pipes transporting hot water (a pipe with domestic hot water with circulation). In Poland, heating pipes used in multi-family housing have a larger diameter compared to domestic hot water pipes, which is why standard twin pipe heating pipes have been used in the construction of four pre-insulated networks, in which the domestic hot water pipe has been added to the thermal insulation and circulation of domestic hot water. In order to determine heat losses, a simplified two-dimensional model of conductive heat transfer was developed using Fortran to create a computer program. The results of numerical simulations show that the use of twin pipes for the construction of pre-insulated quadruple networks has contributed to a significant reduction in heat loss in relation to the existing single pre-insulated network (up to 57.1%), while reducing the thermal insulation field of the cross-section of the pre-insulated pipe by 21.4%.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4699-:d:296157
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/24/4699/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/24/4699/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Libor Kudela & Radomir Chylek & Jiri Pospisil, 2019. "Performant and Simple Numerical Modeling of District Heating Pipes with Heat Accumulation," Energies, MDPI, vol. 12(4), pages 1-23, February.
    2. Cynthia Boysen & Cord Kaldemeyer & Simon Hilpert & Ilja Tuschy, 2019. "Integration of Flow Temperatures in Unit Commitment Models of Future District Heating Systems," Energies, MDPI, vol. 12(6), pages 1-19, March.
    3. Sonja Salo & Aira Hast & Juha Jokisalo & Risto Kosonen & Sanna Syri & Janne Hirvonen & Kristian Martin, 2019. "The Impact of Optimal Demand Response Control and Thermal Energy Storage on a District Heating System," Energies, MDPI, vol. 12(9), pages 1-19, May.
    4. Dorota Anna Krawczyk & Tomasz Janusz Teleszewski, 2019. "Reduction of Heat Losses in a Pre-Insulated Network Located in Central Poland by Lowering the Operating Temperature of the Water and the Use of Egg-shaped Thermal Insulation: A Case Study," Energies, MDPI, vol. 12(11), pages 1-12, June.
    5. Guoqiang Sun & Wenxue Wang & Yi Wu & Wei Hu & Zijun Yang & Zhinong Wei & Haixiang Zang & Sheng Chen, 2019. "A Nonlinear Analytical Algorithm for Predicting the Probabilistic Mass Flow of a Radial District Heating Network," Energies, MDPI, vol. 12(7), pages 1-20, March.
    6. Pirouti, Marouf & Bagdanavicius, Audrius & Ekanayake, Janaka & Wu, Jianzhong & Jenkins, Nick, 2013. "Energy consumption and economic analyses of a district heating network," Energy, Elsevier, vol. 57(C), pages 149-159.
    7. 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.
    8. Milad Khosravi & Ahmad Arabkoohsar, 2019. "Thermal-Hydraulic Performance Analysis of Twin-Pipes for Various Future District Heating Schemes," Energies, MDPI, vol. 12(7), pages 1-17, April.
    9. Francesco Neirotti & Michel Noussan & Stefano Riverso & Giorgio Manganini, 2019. "Analysis of Different Strategies for Lowering the Operation Temperature in Existing District Heating Networks," Energies, MDPI, vol. 12(2), pages 1-17, January.
    10. 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.
    11. Dalla Rosa, A. & Li, H. & Svendsen, S., 2011. "Method for optimal design of pipes for low-energy district heating, with focus on heat losses," Energy, Elsevier, vol. 36(5), pages 2407-2418.
    12. Jing Zhao & Yu Shan, 2019. "An Influencing Parameters Analysis of District Heating Network Time Delays Based on the CFD Method," Energies, MDPI, vol. 12(7), pages 1-19, April.
    13. Wentao Yang & Fushuan Wen & Ke Wang & Yuchun Huang & Md. Abdus Salam, 2018. "Modeling of a District Heating System and Optimal Heat-Power Flow," Energies, MDPI, vol. 11(4), pages 1-19, April.
    14. Sang Hwa Song & Taesu Cheong, 2018. "Pattern-Based Set Partitioning Algorithm for the Integrated Sustainable Operation of a District Heating Network," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    15. Kaisa Kontu & Jussi Vimpari & Petri Penttinen & Seppo Junnila, 2018. "City Scale Demand Side Management in Three Different-Sized District Heating Systems," Energies, MDPI, vol. 11(12), pages 1-18, December.
    16. Dorota Anna Krawczyk & Tomasz Janusz Teleszewski, 2019. "Optimization of Geometric Parameters of Thermal Insulation of Pre-Insulated Double Pipes," Energies, MDPI, vol. 12(6), pages 1-11, March.
    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. 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. 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).
    3. Yuri Vankov & Elvira Bazukova & Dmitry Emelyanov & Alexander Fedyukhin & Olga Afanaseva & Irina Akhmetova & Umberto Berardi, 2022. "Experimental Assessment of the Thermal Conductivity of Basalt Fibres at High Temperatures," Energies, MDPI, vol. 15(8), pages 1-11, April.
    4. 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.

    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. Dorota Anna Krawczyk & Tomasz Janusz Teleszewski, 2019. "Reduction of Heat Losses in a Pre-Insulated Network Located in Central Poland by Lowering the Operating Temperature of the Water and the Use of Egg-shaped Thermal Insulation: A Case Study," Energies, MDPI, vol. 12(11), pages 1-12, June.
    2. Dorota Anna Krawczyk & Tomasz Janusz Teleszewski, 2019. "Optimization of Geometric Parameters of Thermal Insulation of Pre-Insulated Double Pipes," Energies, MDPI, vol. 12(6), pages 1-11, March.
    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. 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).
    5. 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).
    6. Xu, Xin & You, Shijun & Zheng, Xuejing & Li, Han, 2014. "A survey of district heating systems in the heating regions of northern China," Energy, Elsevier, vol. 77(C), pages 909-925.
    7. 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.
    8. Miguel Gonzalez-Salazar & Thomas Langrock & Christoph Koch & Jana Spieß & Alexander Noack & Markus Witt & Michael Ritzau & Armin Michels, 2020. "Evaluation of Energy Transition Pathways to Phase out Coal for District Heating in Berlin," Energies, MDPI, vol. 13(23), pages 1-27, December.
    9. Tomasz Janusz Teleszewski & Dorota Anna Krawczyk & Jose María Fernandez-Rodriguez & Angélica Lozano-Lunar & Antonio Rodero, 2022. "The Study of Soil Temperature Distribution for Very Low-Temperature Geothermal Energy Applications in Selected Locations of Temperate and Subtropical Climate," Energies, MDPI, vol. 15(9), pages 1-19, May.
    10. Janne Suhonen & Juha Jokisalo & Risto Kosonen & Ville Kauppi & Yuchen Ju & Philipp Janßen, 2020. "Demand Response Control of Space Heating in Three Different Building Types in Finland and Germany," Energies, MDPI, vol. 13(23), pages 1-35, November.
    11. Arabkoohsar, Ahmad & Alsagri, Ali Sulaiman, 2020. "A new generation of district heating system with neighborhood-scale heat pumps and advanced pipes, a solution for future renewable-based energy systems," Energy, Elsevier, vol. 193(C).
    12. Arabkoohsar, Ahmad & Alsagri, Ali Sulaiman, 2020. "Thermodynamic analysis of ultralow-temperature district heating system with shared power heat pumps and triple-pipes," Energy, Elsevier, vol. 194(C).
    13. Guelpa, Elisa & Verda, Vittorio, 2021. "Demand response and other demand side management techniques for district heating: A review," Energy, Elsevier, vol. 219(C).
    14. Alsagri, Ali Sulaiman & Arabkoohsar, Ahmad & Khosravi, Milad & Alrobaian, Abdulrahman A., 2019. "Efficient and cost-effective district heating system with decentralized heat storage units, and triple-pipes," Energy, Elsevier, vol. 188(C).
    15. Jie, Pengfei & Kong, Xiangfei & Rong, Xian & Xie, Shangqun, 2016. "Selecting the optimum pressure drop per unit length of district heating piping network based on operating strategies," Applied Energy, Elsevier, vol. 177(C), pages 341-353.
    16. Meibodi, Saleh S. & Rees, Simon & Loveridge, Fleur, 2024. "Modeling district heating pipelines using a hybrid dynamic thermal network approach," Energy, Elsevier, vol. 290(C).
    17. 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.
    18. 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.
    19. Ziemele, Jelena & Pakere, Ieva & Blumberga, Dagnija, 2016. "The future competitiveness of the non-Emissions Trading Scheme district heating systems in the Baltic States," Applied Energy, Elsevier, vol. 162(C), pages 1579-1585.
    20. Jie, Pengfei & Zhao, Wanyue & Li, Fating & Wei, Fengjun & Li, Jing, 2020. "Optimizing the pressure drop per unit length of district heating piping networks from an environmental perspective," Energy, Elsevier, vol. 202(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:12:y:2019:i:24:p:4699-:d:296157. 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.