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Abstract
The computational complexity involved in modelling district heating (DH) networks impedes the integration of network operations into comprehensive DH system studies. We developed a flexible, accurate, and fast dynamic thermal simulation model utilising discrete event simulation (DES). This model is versatile, suitable for any tree-shaped DH network with a central heating plant and can estimate node temperatures and calculate pipe heat losses. The speed of the model is improved via using variable time steps and by incorporating two advanced techniques: lazy evaluation and a customised priority queue. To further improve the computational speed, we developed a technique to eliminate redundant sampling points. This model was tested and demonstrated excellent consistency with actual measurements. Remarkably, reducing sampling points can speed up the simulation by a factor of three without compromising the temperature accuracy. A 72-day simulation of a network with 102 pipes was completed within 0.219 s. Our findings highlight the significant potential of the DES model for large-scale dynamic network simulations and offer a promising solution for DH network simulations and system optimisation.
Original language | English |
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Article number | 133775 |
Pages (from-to) | 1-12 |
Number of pages | 12 |
Journal | Energy |
Volume | 313 |
DOIs | |
Publication status | Published - 30 Dec 2024 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Discrete event simulation
- District heating network
- Heat losses
- Lagrangian method
- Twin pipe
- Variable time step
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Dive into the research topics of 'Dynamic thermal simulation of a tree-shaped district heating network based on discrete event simulation'. Together they form a unique fingerprint.Projects
- 2 Active
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Wang Haichao AT-kulut 31.8.25: Spatiotemporal dynamic simulation of the thermal energy storage (TES) assisted heating network and optimization for indoor temperature control
Wang, H. (Principal investigator), Hua, P. (Project Member) & Xie, Z. (Project Member)
01/09/2023 → 31/08/2025
Project: Academy of Finland: Other research funding
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Wang Haichao Academy Research Fellow
Wang, H. (Principal investigator)
01/09/2020 → 31/08/2025
Project: Academy of Finland: Other research funding