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Modeling district heating pipelines using a hybrid dynamic thermal network approach.
- Source :
-
Energy . Mar2024, Vol. 290, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- A novel numerical method is presented for fast and accurate simulation of the dynamic thermal behavior of buried pipelines such as those in district heating systems. The model is based on a combination of a conduction response factor method, known as the dynamic thermal network (DTN) method and a one-dimensional discretized heat transfer fluid flow model, the so-called plug flow N-continuously stirred tanks (PFST) model. This combination enables the model to effectively take into account the short timescale dynamic effects of pipelines including longitudinal dispersion of turbulent fluid and its thermal capacity and also transient ground heat transfer. The combined DTN-PFST model is validated by reference to experimental data from both the lab-scale representation of a district heating system and monitoring data from a full-scale operational system. The comparisons between simulation results and experimental data demonstrate a good level of accuracy of the proposed model in predicting the dynamic thermal behavior of pipelines. The model has also been found to be several orders of magnitude more computationally efficient than corresponding 3D numerical models. Both the accuracy and computational efficiency of the proposed model make it well-suited to the design and analysis of district heating distribution networks. The model is also expected to be well-suited to the modeling of horizontal ground heat exchange pipe systems. • A hybrid model is used to represent buried pipeline flow and heat transfer. • A plug-flow stirred-tank discretization is used to model fluid transport. • Ground heat transfer is modeled using a dynamic thermal network approach. • Validation against both lab-scale and field data is presented. • The model is shown to be sufficiently accurate and very computationally efficient. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03605442
- Volume :
- 290
- Database :
- Academic Search Index
- Journal :
- Energy
- Publication Type :
- Academic Journal
- Accession number :
- 175030289
- Full Text :
- https://doi.org/10.1016/j.energy.2023.130107