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Hydraulic Parameter Estimation for District Heating Based on Laboratory Experiments

Agner, Felix LU ; Møller Jensen, Christian ; Rantzer, Anders LU orcid ; Skovmose Kallesøe, Carsten and Wisnievski, Rafal (2024) In Energy
Abstract
In this paper we consider calibration of hydraulic models for district heating systems based on operational data. We extend previous theoretical work on the topic to handle real-world complications, namely unknown valve characteristics and hysteresis. We generate two datasets in the Smart Water Infrastructure laboratory in Aalborg, Denmark, on which we evaluate the proposed procedure. In the first data set the system is controlled in such a way to excite all operational modes in terms of combinations of valve set-points. Here the best performing model predicted volume flow rates within roughly 5 and 10 % deviation from the mean volume flow rate for the consumer with the highest and lowest mean volume flow rates respectively. This... (More)
In this paper we consider calibration of hydraulic models for district heating systems based on operational data. We extend previous theoretical work on the topic to handle real-world complications, namely unknown valve characteristics and hysteresis. We generate two datasets in the Smart Water Infrastructure laboratory in Aalborg, Denmark, on which we evaluate the proposed procedure. In the first data set the system is controlled in such a way to excite all operational modes in terms of combinations of valve set-points. Here the best performing model predicted volume flow rates within roughly 5 and 10 % deviation from the mean volume flow rate for the consumer with the highest and lowest mean volume flow rates respectively. This performance was met in the majority of the operational region. In the second data set, the system was controlled in order to mimic real load curves. The model trained on this data set performed similarly well when evaluated on data in the operational range represented in the training data. However, the model performance deteriorated when evaluated on data which was not represented in the training data. (Less)
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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
submitted
subject
in
Energy
publisher
Elsevier
ISSN
1873-6785
DOI
10.48550/arXiv.2407.01386
project
Scalable Control for Increased Flexibility in District Heating Networks
Scalable Control of Interconnected Systems
language
English
LU publication?
yes
id
3f2b6f4e-3908-4d27-b30e-4d5a9a43dc97
date added to LUP
2024-07-03 09:23:51
date last changed
2024-07-08 13:57:22
@article{3f2b6f4e-3908-4d27-b30e-4d5a9a43dc97,
  abstract     = {{In this paper we consider calibration of hydraulic models for district heating systems based on operational data. We extend previous theoretical work on the topic to handle real-world complications, namely unknown valve characteristics and hysteresis. We generate two datasets in the Smart Water Infrastructure laboratory in Aalborg, Denmark, on which we evaluate the proposed procedure. In the first data set the system is controlled in such a way to excite all operational modes in terms of combinations of valve set-points. Here the best performing model predicted volume flow rates within roughly 5 and 10 % deviation from the mean volume flow rate for the consumer with the highest and lowest mean volume flow rates respectively. This performance was met in the majority of the operational region. In the second data set, the system was controlled in order to mimic real load curves. The model trained on this data set performed similarly well when evaluated on data in the operational range represented in the training data. However, the model performance deteriorated when evaluated on data which was not represented in the training data.}},
  author       = {{Agner, Felix and Møller Jensen, Christian and Rantzer, Anders and Skovmose Kallesøe, Carsten and Wisnievski, Rafal}},
  issn         = {{1873-6785}},
  language     = {{eng}},
  month        = {{07}},
  publisher    = {{Elsevier}},
  series       = {{Energy}},
  title        = {{Hydraulic Parameter Estimation for District Heating Based on Laboratory Experiments}},
  url          = {{http://dx.doi.org/10.48550/arXiv.2407.01386}},
  doi          = {{10.48550/arXiv.2407.01386}},
  year         = {{2024}},
}