• Media type: E-Article
  • Title: Experimental operation of a solar‐driven climate system with thermal energy storages using mixed‐integer nonlinear model predictive control
  • Contributor: Bürger, Adrian; Bull, Daniel; Sawant, Parantapa; Bohlayer, Markus; Klotz, Andreas; Beschütz, Daniel; Altmann‐Dieses, Angelika; Braun, Marco; Diehl, Moritz
  • imprint: Wiley, 2021
  • Published in: Optimal Control Applications and Methods
  • Language: English
  • DOI: 10.1002/oca.2728
  • ISSN: 0143-2087; 1099-1514
  • Keywords: Applied Mathematics ; Control and Optimization ; Software ; Control and Systems Engineering
  • Origination:
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  • Description: <jats:title>Abstract</jats:title><jats:p>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.</jats:p>