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Selected technical aspects of managing efficient heat supply in a district heating system

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
District heating networks are key components of efficient heat supply systems for municipal and industrial consumers. The purpose of the research presented in this article was to analyze the thermo-hydraulic parameters of the operation of a transmission main in a district heating network to improve the heat transfer efficiency. Based on a literature review of existing studies, the basic issues of the heat supply process were discussed, and selected methods and tools for simulating district heating networks were characterized. A detailed mathematical description of the phenomena occurring during heat transport in a district heating network pipeline was also presented. Then, analytical calculations and simulations were carried out for the selected district heating system using Termis software. Operational parameters collected in the actual district heating system were used as output data for analytical modeling. Pressure drops, power losses, and heat transfer efficiencies in the main buses at different outdoor temperatures during the heating season were determined. Selected results of the study were included, and possibilities for improving the efficiency of heat transfer in the studied district heating network were indicated.
Rocznik
Strony
32--41
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
  • Czestochowa University of Technology 69 J.H. Dąbrowskiego St., 42-201 Częstochowa, Poland
Bibliografia
  • 1. Allegrini, J., Orehounig, K., Mavromatidis, G., Ruesch, F., Dorer, V. & Evins, R. (2015) A review of modelling approaches and tools for the simulation of district-scale energy systems. Renewable and Sustainable Energy Reviews 52, pp. 1391–1404, doi: 10.1016/j.rser.2015.07.123.
  • 2. Ancona, M.A., Branchini, L., De Lorenzi, A., De Pascale, A., Gambarotta, A., Melino, F. & Morini, M. (2019) Application of different modeling approaches to a district heating network. AIP Conference Proceedings 2191(1), 020009, doi: 10.1063/1.5138742.
  • 3. Babiarz, B. & Kut, P. (2018) District heating simulation in the aspect of heat supply safety. E3S Web of Conferences 45, INFRAEKO 2018, doi: 10.1051/e3sconf/20184500005.
  • 4. Guelpa, E. & Verda, V. (2019) Compact physical model for simulation of thermal networks. Energy 175, pp. 998–1008, doi: 10.1016/j.energy.2019.03.064.
  • 5. Hermansson, K., Kos C., Starfelt, F., Kyprianidis, K., Lindberg, C.-F. & Zimmerman, N. (2018) An Automated Approach to Building and Simulating Dynamic District Heating Networks. IFAC-PapersOnLine 51(2), pp. 855– 860, doi: 10.1016/j.ifacol.2018.04.021.
  • 6. Lund, H., Østergaard, P.A., Nielsen, T.B., Werner, S., Thorsen, J.E., Gudmundsson, O., Arabkoohsar, A. & Mathiesen, B.V. (2021) Perspectives on fourth and fifth generation district heating. Energy 227(C), 120520, doi: 10.1016/j.energy.2021.120520.
  • 7. Rak, A. (2017) Selected aspects of hydraulic issues in heating systems. Production Engineering Archives 14(14), pp. 27–32, doi: 10.30657/pea.2017.14.07.
  • 8. Schneider Electric (2012) Termis. District Energy Management. User Guide. Available from: https://www.se.com/il/ en/download/document/Termis+Set+Up+Guide/ [Accessed: March 29, 2023].
  • 9. Schweiger, G., Runvik, H., Magnusson, F., Larsson, P.O. & Velut, S. (2017) Framework for dynamic optimization of district heating systems using Optimica Compiler Toolkit. Proceedings of the 12th International Modelica Conference, Prague, pp. 131–139, doi: 10.3384/ecp17132131.
  • 10. Simonsson, J., Atta, K.T., Schweiger, G. & Birk, W. (2021) Experiences from City-Scale Simulation of Thermal Grids. Resources 10(2), 10, doi: 10.3390/resources100 20010.
  • 11. van der Heijde, B., Aertgeerts, A. & Helsen, L. (2017) Modelling steady-state thermal behaviour of double thermal network pipes. International Journal of Thermal Sciences 117, pp. 316–327, doi: 10.1016/j.ijthermalsci.2017.03.026.
  • 12. Vandermeulen, A., van der Heijde, B. & Helsen, L. (2018) Controlling district heating and cooling networks to unlock flexibility: A review. Energy 151, pp. 103–115, doi: 10.1016/j.energy.2018.03.034.
  • 13. Wang, N., You, S., Zheng, W., Zhang, H., Zheng, X. & Ye, T. (2017) A Simple Thermal Dynamics Model and Parameter Identification of District Heating Network. Procedia Engineering 205, pp. 329–336, doi: 10.1016/j.proeng. 2017.09.988.
  • 14. Werner, S. (2017) International review of district heating and cooling. Energy 137, pp. 617–631, doi: 10.1016/j.energy. 2017.04.045.
  • 15. Wrzalik, A. (2019) Innovative Solutions in the Process of Heat Supply. QPI 1(1), pp. 155–161, doi: 10.2478/cqpi2019-0021.
  • 16. Zimmerman, N., Kyprianidis, K. & Lindberg, C.-F. (2019) A Achieving Lower District Heating Network Temperatures Using Feed-Forward MPC. Materials 12(15), 2465, doi: 10.3390/ma12152465.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f416685e-c157-4533-9b06-3106ab211266
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