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Model predictive control of thermo-hydraulic systems using primal decomposition
Citation Link: https://doi.org/10.15480/882.16508
Publikationstyp
Preprint
Date Issued
2026-01-15
Sprache
English
TORE-DOI
Decarbonizing the global energy supply requires more efficient heating and cooling systems. Model predictive control enhances the operation of cooling and heating systems but depends on accurate system models, often based on control volumes. We present an automated framework including time discretization to generate model predictive controllers for such models. To ensure scalability, a primal decomposition exploiting the model structure is applied. The approach is validated on an underground heating system with varying numbers of states, demonstrating the primal decomposition's advantage regarding scalability.
Subjects
eess.SY
DDC Class
620: Engineering
629.8: Control and Feedback Control Systems
621.3: Electrical Engineering, Electronic Engineering
Publication version
publishedVersion
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Vieth_TurfHeatingMPC_IFAC.pdf
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