EconPapers    
Economics at your fingertips  
 

Heat transmission over long pipes: New model for fast and accurate district heating simulations

A. Dénarié, M. Aprile and M. Motta

Energy, 2019, vol. 166, issue C, 267-276

Abstract: This paper presents a new numerical approach to model the heat transmission over long pipes, such as those encountered in district heating networks. The model is suitable for fast and accurate simulation of complex network dynamics. For fast calculation, the model is based on the method of characteristics. For high accuracy, the model splits the water thermal capacity between the turbulent core and the boundary layer. Compared with the finite-volume method and the node method, the proposed model shows accurate results at a lower computational expense and without introducing artificial smoothing of temperature waves. The model is validated by monitoring data of pronounced temperature transients in real pipes at low and high Reynolds numbers. The results confirm the need to properly model the thermal capacity of water, because at a low Reynolds number, the boundary-layer thickness is considerable, and the temperature difference between the water core and the pipe wall is not negligible.

Keywords: District heating; Heat transmission in pipes; Dynamic model; Turbulent flow; Transient temperature simulation (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544218319583
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:166:y:2019:i:c:p:267-276

DOI: 10.1016/j.energy.2018.09.186

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:166:y:2019:i:c:p:267-276