Modelling temperature dynamics of a district heating system in Naestved, Denmark – a case study
(2006) In Energy Conversion and Management 48(1).- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/586456
- author
- Gabrielaitiene, Irina LU ; Bohm, B. and Sundén, Bengt LU
- organization
- publishing date
- 2006
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- District heating, Dynamic temperature simulation, Dynamic consumer behaviour
- in
- Energy Conversion and Management
- volume
- 48
- issue
- 1
- publisher
- Elsevier
- ISSN
- 0196-8904
- language
- English
- LU publication?
- yes
- id
- 44867e32-3098-416f-973d-a8a3c2f5e111 (old id 586456)
- alternative location
- http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6V2P-4K7NHCB-3-T&_cdi=5708&_user=745831&_orig=search&_coverDate=01%2F31%2F2007&_sk=999519998&view=c&wchp=dGLzVzz-zSkWz&md5=9584b54606a2aeab29c3c9703f310e33&ie=/sdarticle.pdf
- date added to LUP
- 2016-04-04 09:20:56
- date last changed
- 2018-11-21 20:52:29
@article{44867e32-3098-416f-973d-a8a3c2f5e111, 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.}}, author = {{Gabrielaitiene, Irina and Bohm, B. and Sundén, Bengt}}, issn = {{0196-8904}}, keywords = {{District heating; Dynamic temperature simulation; Dynamic consumer behaviour}}, language = {{eng}}, number = {{1}}, publisher = {{Elsevier}}, series = {{Energy Conversion and Management}}, title = {{Modelling temperature dynamics of a district heating system in Naestved, Denmark – a case study}}, url = {{http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6V2P-4K7NHCB-3-T&_cdi=5708&_user=745831&_orig=search&_coverDate=01%2F31%2F2007&_sk=999519998&view=c&wchp=dGLzVzz-zSkWz&md5=9584b54606a2aeab29c3c9703f310e33&ie=/sdarticle.pdf}}, volume = {{48}}, year = {{2006}}, }