<div class="csl-bib-body">
<div class="csl-entry">Bayer, M., Sotnikov, A., Meister, C., Dahash, A., Schuetz, P., Walter, H., & Villasmil, W. (2025, September 16). <i>Data-Driven Surrogate Models of Seasonal Thermal Energy Storage for MPC Applications – A Case Study on the Dronninglund Pit Storage</i> [Conference Presentation]. 11th International Conference on Smart Energy Systems (SESAAU2025), Kopenhagen, Denmark.</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/225607
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dc.description.abstract
This study explores the development of data-driven surrogate models for Seasonal Thermal Energy Storage (sTES) suitable for integration into Model Predictive Control (MPC) frameworks. Using measurement data from the Dronninglund pit storage system, a validated Modelica model serves as the foundation for generating training data for various surrogate modeling approaches. The objective is to assess whether data-driven models can provide a computationally efficient alternative to physics-based simulations while maintaining sufficient accuracy for control applications.
The study focuses on the surrogate model performance and its ability to replicate temperature stratification, heat losses, and ground temperature evolution. Multiple machine learning algorithms are evaluated based on predictive accuracy, generalization capability, and computational efficiency. The study also examines how different model structures and training strategies influence performance. Additionally, the feasibility of integrating the surrogate model within an MPC setup is analyzed, considering both computational requirements and control-relevant accuracy.
By systematically comparing surrogate models against the original Modelica-based approach, the study provides insights into the trade-offs between complexity, accuracy, and real-time applicability. The results contribute to the broader discussion on optimizing sTES operation through data-driven modeling, offering guidance on selecting appropriate methods for predictive control in large-scale thermal energy storage systems.
en
dc.language.iso
en
-
dc.subject
Seasonal Thermal Energy Storage
en
dc.subject
Model Predictive Control
en
dc.subject
data-driven modelling
en
dc.title
Data-Driven Surrogate Models of Seasonal Thermal Energy Storage for MPC Applications – A Case Study on the Dronninglund Pit Storage
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.contributor.affiliation
Lucerne University of Applied Sciences and Arts, Switzerland
-
dc.contributor.affiliation
Lucerne University of Applied Sciences and Arts, Switzerland
-
dc.contributor.affiliation
Lucerne University of Applied Sciences and Arts, Switzerland
-
dc.contributor.affiliation
Austrian Institute of Technology, Austria
-
dc.contributor.affiliation
Lucerne University of Applied Sciences and Arts, Switzerland
-
dc.contributor.affiliation
Lucerne University of Applied Sciences and Arts, Switzerland
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dc.type.category
Conference Presentation
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tuw.researchTopic.id
C2
-
tuw.researchTopic.id
E3
-
tuw.researchTopic.name
Computational Fluid Dynamics
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tuw.researchTopic.name
Climate Neutral, Renewable and Conventional Energy Supply Systems
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tuw.researchTopic.value
60
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tuw.researchTopic.value
40
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tuw.publication.orgunit
E302-01 - Forschungsbereich Thermodynamik und Wärmetechnik
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tuw.author.orcid
0009-0002-0242-8572
-
tuw.author.orcid
0009-0005-4680-6039
-
tuw.author.orcid
0000-0003-4265-8591
-
tuw.author.orcid
0000-0003-2840-4958
-
tuw.author.orcid
0000-0001-7564-1468
-
tuw.author.orcid
0000-0001-9195-3947
-
tuw.author.orcid
0000-0002-8193-9647
-
tuw.event.name
11th International Conference on Smart Energy Systems (SESAAU2025)
en
tuw.event.startdate
16-09-2025
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tuw.event.enddate
17-09-2025
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tuw.event.online
Hybrid
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tuw.event.type
Event for scientific audience
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tuw.event.place
Kopenhagen
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tuw.event.country
DK
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tuw.event.presenter
Bayer, Michael
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wb.sciencebranch
Chemische Verfahrenstechnik
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wb.sciencebranch
Maschinenbau
-
wb.sciencebranch.oefos
2040
-
wb.sciencebranch.oefos
2030
-
wb.sciencebranch.value
30
-
wb.sciencebranch.value
70
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item.openairecristype
http://purl.org/coar/resource_type/c_18cp
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item.fulltext
no Fulltext
-
item.languageiso639-1
en
-
item.grantfulltext
none
-
item.openairetype
conference paper not in proceedings
-
item.cerifentitytype
Publications
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crisitem.author.dept
Lucerne University of Applied Sciences and Arts, Switzerland
-
crisitem.author.dept
Lucerne University of Applied Sciences and Arts, Switzerland
-
crisitem.author.dept
Lucerne University of Applied Sciences and Arts, Switzerland
-
crisitem.author.dept
Austrian Institute of Technology, Austria
-
crisitem.author.dept
Lucerne University of Applied Sciences and Arts, Switzerland
-
crisitem.author.dept
E302-01 - Forschungsbereich Thermodynamik und Wärmetechnik
-
crisitem.author.dept
Lucerne University of Applied Sciences and Arts, Switzerland
-
crisitem.author.orcid
0009-0002-0242-8572
-
crisitem.author.orcid
0009-0005-4680-6039
-
crisitem.author.orcid
0000-0003-4265-8591
-
crisitem.author.orcid
0000-0003-2840-4958
-
crisitem.author.orcid
0000-0001-7564-1468
-
crisitem.author.orcid
0000-0001-9195-3947
-
crisitem.author.orcid
0000-0002-8193-9647
-
crisitem.author.parentorg
E302 - Institut für Energietechnik und Thermodynamik
