Experimental operation of a solar-driven climate system with thermal energy storages using mixed-integer nonlinear model predictive control
- This work presents the results of experimental operation of a solar-driven climate system using mixed-integer nonlinear model predictive control (MPC). The system is installed in a university building and consists of two solar thermal collector fields, an adsorption cooling machine with different operation modes, a stratified hot water storage with multiple inlets and outlets as well as a coldThis work presents the results of experimental operation of a solar-driven climate system using mixed-integer nonlinear model predictive control (MPC). The system is installed in a university building and consists of two solar thermal collector fields, an adsorption cooling machine with different operation modes, a stratified hot water storage with multiple inlets and outlets as well as a cold water storage. The system and the applied modeling approach is described and a parallelized algorithm for mixed-integer nonlinear MPC and a corresponding implementation for the system are presented. Finally, we show and discuss the results of experimental operation of the system and highlight the advantages of the mixed-integer nonlinear MPC application.…
Document Type: | Article (reviewed) |
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Zitierlink: | https://opus.hs-offenburg.de/4895 | Bibliografische Angaben |
Title (English): | Experimental operation of a solar-driven climate system with thermal energy storages using mixed-integer nonlinear model predictive control |
Author: | Adrian Bürger, Daniel Bull, Parantapa Amarsinh SawantORCiDGND, Markus Bohlayer, Andreas Klotz, Daniel Beschütz, Angelika Altmann-Dieses, Marco Braun, Moritz Diehl |
Year of Publication: | 2021 |
Publisher: | Wiley |
First Page: | 1293 |
Last Page: | 1319 |
Parent Title (English): | Optimal Control Applications and Methods |
Volume: | 42 |
Issue: | 5 |
ISSN: | 0143-2087 (Print) |
ISSN: | 1099-1514 (Online) |
DOI: | https://doi.org/10.1002/oca.2728 |
URN: | https://urn:nbn:de:bsz:ofb1-opus4-48953 |
Language: | English | Inhaltliche Informationen |
Institutes: | Forschung / INES - Institut für nachhaltige Energiesysteme |
Fakultät Maschinenbau und Verfahrenstechnik (M+V) | |
Institutes: | Bibliografie | Formale Angaben |
Open Access: | Open Access |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |