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Reduced-Order Modeling of Thermal Dynamics in District Energy Networks using Spectral Clustering
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems. Optimation AB, Uppsala, Sweden.ORCID iD: 0000-0001-5385-7022
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-9901-5776
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-5888-8626
2022 (English)In: 2022 IEEE Conference on Control Technology and Applications (CCTA), IEEE, 2022, p. 144-150Conference paper, Published paper (Refereed)
Abstract [en]

Simulation of thermal dynamics in city-scale district energy grids often becomes computationally prohibitive for long simulation runs. Current model order reduction methods offer limited interpretability with regards to the nonreduced system, and are not in general applicable for e.g., varying flow rates, multiple producers, or changing flow directions. This article presents a novel method based on graph theory that approximates the solution of an optimization problem that minimizes the local truncation error for heat transport in the grid. It is shown that the method can be used to reduce the thermal dynamic model of a city-scale energy grid, resulting in a coarser temporal and spatial resolution. The relative root mean square error was 2.3 % for the temperature in the evaluation scenario, comparing the reduced-order system with the nonreduced system at the instances of the coarser time-step.

Place, publisher, year, edition, pages
IEEE, 2022. p. 144-150
Series
Control Technology and Applications, ISSN 2768-0762, E-ISSN 2768-0770
National Category
Energy Engineering
Research subject
Automatic Control
Identifiers
URN: urn:nbn:se:ltu:diva-95573DOI: 10.1109/CCTA49430.2022.9965996Scopus ID: 2-s2.0-85144594811ISBN: 978-1-6654-7338-5 (electronic)OAI: oai:DiVA.org:ltu-95573DiVA, id: diva2:1735607
Conference
2022 IEEE Conference on Control Technology and Applications (CCTA), August 23-25, 2022, Trieste, Italy
Available from: 2023-02-09 Created: 2023-02-09 Last updated: 2024-01-08Bibliographically approved

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Simonsson, JohanAtta, Khalid TourkeyBirk, Wolfgang

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