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Modelling temperature dynamics of a district heating system in Naestved, Denmark - A case study

Gabrielaitiene, Irina LU ; Bohm, Benny and Sundén, Bengt LU (2007) In Energy Conversion and Management 48(1). p.78-86
Abstract
Modelling the temperature dynamics of a district heating system is typically validated for a single pipe or a system with limited information about dynamic consumer behaviour. In the present work, time dependent consumer data from the Naestved district heating system was used to investigate the ability of modelling tools to represent the temperature profile distortion throughout an entire heating system network. The Naestved district heating subsystem was modelled by two approaches (the node method developed at the Technical University of Denmark and the software TERMIS), and these modelling results were compared with measured data. The results indicate that the discrepancies between the predicted and measured temperatures are pronounced... (More)
Modelling the temperature dynamics of a district heating system is typically validated for a single pipe or a system with limited information about dynamic consumer behaviour. In the present work, time dependent consumer data from the Naestved district heating system was used to investigate the ability of modelling tools to represent the temperature profile distortion throughout an entire heating system network. The Naestved district heating subsystem was modelled by two approaches (the node method developed at the Technical University of Denmark and the software TERMIS), and these modelling results were compared with measured data. The results indicate that the discrepancies between the predicted and measured temperatures are pronounced for consumers located in pipelines at distant pipelines containing numerous bends and fittings. Additionally, it was found that representing the consumer behaviour on an annual average basis introduced a deviation between the predicted and the measured return temperatures at the heat source. (c) 2006 Elsevier Ltd. All rights reserved. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
dynamic consumer, district heating, dynamic temperature simulation, behaviour
in
Energy Conversion and Management
volume
48
issue
1
pages
78 - 86
publisher
Elsevier
external identifiers
  • wos:000242103800008
  • scopus:33749681704
ISSN
0196-8904
DOI
10.1016/j.enconman.2006.05.011
language
English
LU publication?
yes
id
69b8b31c-9cc0-4192-8192-e0d0f718af3d (old id 376629)
date added to LUP
2007-12-11 14:38:05
date last changed
2017-10-29 04:23:32
@article{69b8b31c-9cc0-4192-8192-e0d0f718af3d,
  abstract     = {Modelling the temperature dynamics of a district heating system is typically validated for a single pipe or a system with limited information about dynamic consumer behaviour. In the present work, time dependent consumer data from the Naestved district heating system was used to investigate the ability of modelling tools to represent the temperature profile distortion throughout an entire heating system network. The Naestved district heating subsystem was modelled by two approaches (the node method developed at the Technical University of Denmark and the software TERMIS), and these modelling results were compared with measured data. The results indicate that the discrepancies between the predicted and measured temperatures are pronounced for consumers located in pipelines at distant pipelines containing numerous bends and fittings. Additionally, it was found that representing the consumer behaviour on an annual average basis introduced a deviation between the predicted and the measured return temperatures at the heat source. (c) 2006 Elsevier Ltd. All rights reserved.},
  author       = {Gabrielaitiene, Irina and Bohm, Benny and Sundén, Bengt},
  issn         = {0196-8904},
  keyword      = {dynamic consumer,district heating,dynamic temperature simulation,behaviour},
  language     = {eng},
  number       = {1},
  pages        = {78--86},
  publisher    = {Elsevier},
  series       = {Energy Conversion and Management},
  title        = {Modelling temperature dynamics of a district heating system in Naestved, Denmark - A case study},
  url          = {http://dx.doi.org/10.1016/j.enconman.2006.05.011},
  volume       = {48},
  year         = {2007},
}