4.7 Article

Discrete event simulation for dynamic thermal modelling of district heating pipe

期刊

ENERGY
卷 285, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2023.129523

关键词

Discrete event simulation; Lagrangian method; Variable time step; District heat pipe; Dynamic thermal simulation; Heat losses

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This study introduces a novel and efficient method for dynamic thermal modelling of district heating pipes. The method uses discrete event simulation to track water frontiers and reduces computational complexity. The proposed model accurately computes outlet water temperature, temperature profile along the pipe, and heat loss. The model was validated against real measurements and showed accurate predictions.
Optimizing district heating (DH) systems in a holistic manner is often impeded by the computational complexities associated with network modeling. This study introduces a novel, efficient and theoretically accurate method for dynamic thermal modelling of DH pipes. The approach is to track water frontiers traveling along the pipe using discrete event simulation (DES) paradigm. As the DES method is based on variable time steps, the computational effort is significantly reduced compared to earlier methods. The proposed model can compute outlet water temperature, temperature profile along the pipe, and heat loss based on variable inlet temperature and flow rate. The DES model was validated by comparison with real measurements of a long DH pipe. Four variants of the model with different temperature profile assumptions and interpolation methods were compared. Numerical results show that the DES model can accurately predict outlet water temperature with a maximum discrepancy of 0.52 degrees C. The mean error of simulated outlet temperature was-0.01 +/- 0.02 degrees C. Average computation time for 24-h simulation was 59 mu s. Overall, this study shows that the DES method is appropriate for variable time step simulation for DH pipe, potentially, for network simulation. Our study may also inspire variable time step implementation in other energy applications.

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