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

Adrian Bürger, Daniel Bull, Parantapa Sawant, Markus Bohlayer, Andreas Klotz, Daniel Beschütz, Angelika Altmann-Dieses, Marco Braun, Moritz Diehl
2021
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
more » ... llelized 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.
doi:10.5445/ir/1000133593 fatcat:uv5hhcoxcbhljeq2pp5ghogg3e