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Improved thermal transient modeling with new 3-order numerical solution for a district heating network with consideration of the pipe wall's thermal inertia

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  • Wang, Hai
  • Meng, Hua

Abstract

An improved thermal transient model was put forward to predict the thermal transient behavior of a long pipe. The model took particular consideration of the influences of the pipe wall's thermal inertia. Then a new 3-order numerical solution was presented to solve the proposed model. The new solution would not only preserve the sharp temperature front during the heat propagation, but also achieve fine computational accuracy even for the coarse grids. In addition, the proposed model and numerical solution could be easily coupled with enormous common hydraulic models to be available to a general district heating (DH) network. The model and solution were validated in a real DH system. The simulation results had a good agreement with the measured data. Furthermore, in order to quantify the degree of the influence of pipe wall's thermal inertia, a practical indicator was developed based on ten types of often-used pipes in the DH projects. The research results showed that, for the large pipes with diameters over DN 200, the simulation errors caused by neglecting the pipe wall's thermal inertia were no more than 10%, which meant it was unnecessary to consider the thermal inertia for larger diameter pipes during the process of modeling.

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  • Wang, Hai & Meng, Hua, 2018. "Improved thermal transient modeling with new 3-order numerical solution for a district heating network with consideration of the pipe wall's thermal inertia," Energy, Elsevier, vol. 160(C), pages 171-183.
  • Handle: RePEc:eee:energy:v:160:y:2018:i:c:p:171-183
    DOI: 10.1016/j.energy.2018.06.214
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    as
    1. Sartor, K. & Quoilin, S. & Dewallef, P., 2014. "Simulation and optimization of a CHP biomass plant and district heating network," Applied Energy, Elsevier, vol. 130(C), pages 474-483.
    2. Tol, H.İ. & Svendsen, S., 2012. "Improving the dimensioning of piping networks and network layouts in low-energy district heating systems connected to low-energy buildings: A case study in Roskilde, Denmark," Energy, Elsevier, vol. 38(1), pages 276-290.
    3. Li, Yemao & Xia, Jianjun & Fang, Hao & Su, Yingbo & Jiang, Yi, 2016. "Case study on industrial surplus heat of steel plants for district heating in Northern China," Energy, Elsevier, vol. 102(C), pages 397-405.
    4. Wang, Hai & Wang, Haiying & Haijian, Zhou & Zhu, Tong, 2017. "Optimization modeling for smart operation of multi-source district heating with distributed variable-speed pumps," Energy, Elsevier, vol. 138(C), pages 1247-1262.
    5. Wang, Yaran & You, Shijun & Zhang, Huan & Zheng, Wandong & Zheng, Xuejing & Miao, Qingwei, 2017. "Hydraulic performance optimization of meshed district heating network with multiple heat sources," Energy, Elsevier, vol. 126(C), pages 603-621.
    6. 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.
    7. Brange, Lisa & Englund, Jessica & Lauenburg, Patrick, 2016. "Prosumers in district heating networks – A Swedish case study," Applied Energy, Elsevier, vol. 164(C), pages 492-500.
    8. Razmara, M. & Bidarvatan, M. & Shahbakhti, M. & Robinett, R.D., 2016. "Optimal exergy-based control of internal combustion engines," Applied Energy, Elsevier, vol. 183(C), pages 1389-1403.
    9. Mathiesen, B.V. & Lund, H. & Connolly, D. & Wenzel, H. & Østergaard, P.A. & Möller, B. & Nielsen, S. & Ridjan, I. & Karnøe, P. & Sperling, K. & Hvelplund, F.K., 2015. "Smart Energy Systems for coherent 100% renewable energy and transport solutions," Applied Energy, Elsevier, vol. 145(C), pages 139-154.
    10. Byun, Sun-Joon & Park, Hyun-Sik & Yi, Sung-Jae & Song, Chul-Hwa & Choi, Young-Don & Lee, So-Hyeon & Shin, Jong-Keun, 2015. "Study on the optimal heat supply control algorithm for district heating distribution network in response to outdoor air temperature," Energy, Elsevier, vol. 86(C), pages 247-256.
    11. Nord, Natasa & Løve Nielsen, Elise Kristine & Kauko, Hanne & Tereshchenko, Tymofii, 2018. "Challenges and potentials for low-temperature district heating implementation in Norway," Energy, Elsevier, vol. 151(C), pages 889-902.
    12. Allegrini, Jonas & Orehounig, Kristina & Mavromatidis, Georgios & Ruesch, Florian & Dorer, Viktor & Evins, Ralph, 2015. "A review of modelling approaches and tools for the simulation of district-scale energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1391-1404.
    13. Brand, Lisa & Calvén, Alexandra & Englund, Jessica & Landersjö, Henrik & Lauenburg, Patrick, 2014. "Smart district heating networks – A simulation study of prosumers’ impact on technical parameters in distribution networks," Applied Energy, Elsevier, vol. 129(C), pages 39-48.
    14. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    15. Brand, Marek & Svendsen, Svend, 2013. "Renewable-based low-temperature district heating for existing buildings in various stages of refurbishment," Energy, Elsevier, vol. 62(C), pages 311-319.
    16. 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.
    17. Guelpa, Elisa & Toro, Claudia & Sciacovelli, Adriano & Melli, Roberto & Sciubba, Enrico & Verda, Vittorio, 2016. "Optimal operation of large district heating networks through fast fluid-dynamic simulation," Energy, Elsevier, vol. 102(C), pages 586-595.
    18. Duquette, Jean & Rowe, Andrew & Wild, Peter, 2016. "Thermal performance of a steady state physical pipe model for simulating district heating grids with variable flow," Applied Energy, Elsevier, vol. 178(C), pages 383-393.
    19. Guelpa, Elisa & Barbero, Giulia & Sciacovelli, Adriano & Verda, Vittorio, 2017. "Peak-shaving in district heating systems through optimal management of the thermal request of buildings," Energy, Elsevier, vol. 137(C), pages 706-714.
    20. del Hoyo Arce, Itzal & Herrero López, Saioa & López Perez, Susana & Rämä, Miika & Klobut, Krzysztof & Febres, Jesus A., 2018. "Models for fast modelling of district heating and cooling networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P2), pages 1863-1873.
    21. Wang, Hai & Wang, Haiying & Zhu, Tong & Deng, Wanli, 2017. "A novel model for steam transportation considering drainage loss in pipeline networks," Applied Energy, Elsevier, vol. 188(C), pages 178-189.
    22. Sartor, K. & Dewalef, P., 2017. "Experimental validation of heat transport modelling in district heating networks," Energy, Elsevier, vol. 137(C), pages 961-968.
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