Bürger A, Bohlayer M, Hoffmann S, Altmann-Dieses A, Braun M, Diehl M (2020)
Publication Type: Journal article
Publication year: 2020
Book Volume: 258
Article Number: 114064
DOI: 10.1016/j.apenergy.2019.114064
This work presents a whole-year simulation study on nonlinear mixed-integer Model Predictive Control (MPC) for a complex thermal energy supply system which consists of a heat pump, stratified water storages, free cooling facilities, and a large underground thermal storage. For solution of the arising Mixed-Integer Non-Linear Programs (MINLPs) we apply an existing general and optimal-control-suitable decomposition approach. To compensate deviation of forecast inputs from measured disturbances, we introduce a moving horizon estimation step within the MPC strategy. The MPC performance for this study, which consists of more than 50,000 real-time suitable MINLP solutions, is compared to an elaborate conventional control strategy for the system. It is shown that MPC can significantly reduce the yearly energy consumption while providing a similar degree of constraint satisfaction, and autonomously identify previously unknown, beneficial operation modes.
APA:
Bürger, A., Bohlayer, M., Hoffmann, S., Altmann-Dieses, A., Braun, M., & Diehl, M. (2020). A whole-year simulation study on nonlinear mixed-integer model predictive control for a thermal energy supply system with multi-use components. Applied Energy, 258. https://dx.doi.org/10.1016/j.apenergy.2019.114064
MLA:
Bürger, Adrian, et al. "A whole-year simulation study on nonlinear mixed-integer model predictive control for a thermal energy supply system with multi-use components." Applied Energy 258 (2020).
BibTeX: Download