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Experimental operation of a solar-driven climate system with thermal energy storages using mixed-integer nonlinear model predictive control

Bürger, Adrian; Bull, Daniel; Sawant, Parantapa; Bohlayer, Markus; Klotz, Andreas; Beschütz, Daniel; Altmann-Dieses, Angelika; Braun, Marco; Diehl, Moritz

Abstract:
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 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.


Verlagsausgabe §
DOI: 10.5445/IR/1000133593
Veröffentlicht am 03.06.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Karlsruher Institut für Technologie (KIT)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 10.2021
Sprache Englisch
Identifikator ISSN: 0143-2087, 1099-1514
KITopen-ID: 1000133593
Erschienen in Optimal Control Applications and Methods
Verlag John Wiley and Sons
Band 42
Heft 5
Seiten 1293-1319
Vorab online veröffentlicht am 11.05.2021
Schlagwörter experimental study; mixed-integer nonlinear programming; model predictive control; renewable energy systems; solar thermal climate systems
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