Dynamic Modeling of Heat Transport in District Heating Networks

Abstract : District Heating (DH) networks are getting closer and closer to the concept of "Smart Grids" to deal with the contribution of new technologies and paradigms like Renewable Energy Sources, Distributed Generation, Low Energy Buildings, Distributed Storage and Low Temperature District Heating. This requires good anticipation of the system's dynamics with the objective of improving control, which is of less importance in classical DH. This work analyses the specificities of DH for anticipating this dynamics and a simulation model for the heat transportation in a network is proposed, based on a finite element transient model. Its application to branched network topologies gives the spatio-temporal distribution of temperature along all the pipes and in all the network's nodes within a specified time frame, regardless of the number of input and output pipes in the node. With it we can see the delay between the change in the settings at the generation points and the time they are perceived by the different substation in the network, which is a prerequisite for optimal control. The model is tested using different inputs that are forced to vary greatly to highlight the results. A comparison between the model developed by the authors and the existing Node method is presented. These results shed light on the necessities and opportunities in DH, mainly for enhanced control in the new energy context.
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https://hal.archives-ouvertes.fr/hal-01879573
Contributor : Pierrick Haurant <>
Submitted on : Monday, September 24, 2018 - 9:52:04 AM
Last modification on : Tuesday, September 17, 2019 - 2:14:01 PM
Long-term archiving on : Tuesday, December 25, 2018 - 1:00:55 PM

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Manuel Betancourt Schwarz, Bruno Lacarrière, Carlos Santos Silva, Pierrick Haurant, Mohamed Mabrouk. Dynamic Modeling of Heat Transport in District Heating Networks. ECOS 2018 - 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Jun 2018, Guimaraes, Portugal. ⟨hal-01879573⟩

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