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A new quasi-dynamic load flow calculation for district heating networks

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  • Steinegger, Josef
  • Wallner, Stefan
  • Greiml, Matthias
  • Kienberger, Thomas

Abstract

District heating networks can serve as large heat reservoirs due to thermal inertia. To analyse the behaviour of these networks, a load flow calculation must be performed. There are three basic approaches available for this purpose. One is the steady-state approach, which cannot consider the temporal temperature distribution. Another one is the dynamic approach that considers the thermal inertia of district heating networks, but it has a high computation time. The presented method uses a quasi-dynamic approach, which can provide a faster calculation time than dynamic approaches and can also consider thermal inertia. This method is based on a Lagrangian specification approach which shows better performance than Eulerian specification approaches but is more complex to implement. The validation of the method indicates that the accuracy is high and, therefore, acceptable. The computation time of the method is several times faster than dynamic approaches and slightly slower than steady-state approaches. However, with quasi-dynamic approaches, it has not been possible to compute networks of arbitrary size and complexity. With the method described in this paper, this is now possible. Furthermore, due to its properties, the method can be well integrated into calculation methods of multi-energy-systems.

Suggested Citation

  • Steinegger, Josef & Wallner, Stefan & Greiml, Matthias & Kienberger, Thomas, 2023. "A new quasi-dynamic load flow calculation for district heating networks," Energy, Elsevier, vol. 266(C).
  • Handle: RePEc:eee:energy:v:266:y:2023:i:c:s0360544222032960
    DOI: 10.1016/j.energy.2022.126410
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    as
    1. Liu, Xuezhi & Wu, Jianzhong & Jenkins, Nick & Bagdanavicius, Audrius, 2016. "Combined analysis of electricity and heat networks," Applied Energy, Elsevier, vol. 162(C), pages 1238-1250.
    2. 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.
    3. Guelpa, Elisa, 2020. "Impact of network modelling in the analysis of district heating systems," Energy, Elsevier, vol. 213(C).
    4. Lund, H. & Möller, B. & Mathiesen, B.V. & Dyrelund, A., 2010. "The role of district heating in future renewable energy systems," Energy, Elsevier, vol. 35(3), pages 1381-1390.
    5. 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.
    6. Jiaqi Shi & Ling Wang & Yingrui Wang & Jianhua Zhang, 2017. "Generalized Energy Flow Analysis Considering Electricity Gas and Heat Subsystems in Local-Area Energy Systems Integration," Energies, MDPI, vol. 10(4), pages 1-17, April.
    7. Chen, Dongwen & Li, Yong & Abbas, Zulkarnain & Li, Dehong & Wang, Ruzhu, 2022. "Network flow calculation based on the directional nodal potential method for meshed heating networks," Energy, Elsevier, vol. 243(C).
    8. Mazhar, Abdur Rehman & Liu, Shuli & Shukla, Ashish, 2018. "A state of art review on the district heating systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 420-439.
    9. 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.
    10. Dénarié, A. & Aprile, M. & Motta, M., 2019. "Heat transmission over long pipes: New model for fast and accurate district heating simulations," Energy, Elsevier, vol. 166(C), pages 267-276.
    11. Lund, Henrik & Duic, Neven & Østergaard, Poul Alberg & Mathiesen, Brian Vad, 2018. "Future district heating systems and technologies: On the role of smart energy systems and 4th generation district heating," Energy, Elsevier, vol. 165(PA), pages 614-619.
    12. Qin, Xin & Sun, Hongbin & Shen, Xinwei & Guo, Ye & Guo, Qinglai & Xia, Tian, 2019. "A generalized quasi-dynamic model for electric-heat coupling integrated energy system with distributed energy resources," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    13. Matthias Greiml & Florian Fritz & Josef Steinegger & Theresa Schlömicher & Nicholas Wolf Williams & Negar Zaghi & Thomas Kienberger, 2022. "Modelling and Simulation/Optimization of Austria’s National Multi-Energy System with a High Degree of Spatial and Temporal Resolution," Energies, MDPI, vol. 15(10), pages 1-33, May.
    14. Guelpa, Elisa & Verda, Vittorio, 2019. "Compact physical model for simulation of thermal networks," Energy, Elsevier, vol. 175(C), pages 998-1008.
    15. David A. Swanson, 2015. "On the Relationship among Values of the Same Summary Measure of Error when it is used across Multiple Characteristics at the Same Point in Time: An Examination of MALPE and MAPE," Review of Economics & Finance, Better Advances Press, Canada, vol. 5, pages 1-14, August.
    16. Pan, Zhaoguang & Guo, Qinglai & Sun, Hongbin, 2016. "Interactions of district electricity and heating systems considering time-scale characteristics based on quasi-steady multi-energy flow," Applied Energy, Elsevier, vol. 167(C), pages 230-243.
    17. Markensteijn, A.S. & Romate, J.E. & Vuik, C., 2020. "A graph-based model framework for steady-state load flow problems of general multi-carrier energy systems," Applied Energy, Elsevier, vol. 280(C).
    18. Leitner, Benedikt & Widl, Edmund & Gawlik, Wolfgang & Hofmann, René, 2019. "A method for technical assessment of power-to-heat use cases to couple local district heating and electrical distribution grids," Energy, Elsevier, vol. 182(C), pages 729-738.
    19. Dancker, Jonte & Wolter, Martin, 2021. "Improved quasi-steady-state power flow calculation for district heating systems: A coupled Newton-Raphson approach," Applied Energy, Elsevier, vol. 295(C).
    20. Liu, Xuezhi & Mancarella, Pierluigi, 2016. "Modelling, assessment and Sankey diagrams of integrated electricity-heat-gas networks in multi-vector district energy systems," Applied Energy, Elsevier, vol. 167(C), pages 336-352.
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