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

Bürger A, Bull D, Sawant P, Bohlayer M, Klotz A, Beschütz D, Altmann-Dieses A, Braun M, Diehl M (2021)

Publication Type: Journal article

Publication year: 2021

Journal

Optimal Control Applications & Methods Wiley-Blackwell

DOI: 10.1002/oca.2728

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.

Involved external institutions

Hochschule Karlsruhe – Technik und Wirtschaft DE Germany (DE) Hochschule Offenburg DE Germany (DE) Albert-Ludwigs-Universität Freiburg DE Germany (DE)

How to cite

APA:

Bürger, A., Bull, D., Sawant, P., Bohlayer, M., Klotz, A., Beschütz, D.,... Diehl, M. (2021). Experimental operation of a solar-driven climate system with thermal energy storages using mixed-integer nonlinear model predictive control. Optimal Control Applications & Methods. https://dx.doi.org/10.1002/oca.2728

MLA:

Bürger, Adrian, et al. "Experimental operation of a solar-driven climate system with thermal energy storages using mixed-integer nonlinear model predictive control." Optimal Control Applications & Methods (2021).

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