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.

中文翻译：

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使用混合整数非线性模型预测控制的具有热能存储的太阳能驱动气候系统的实验运行

这项工作展示了使用混合整数非线性模型预测控制 (MPC) 的太阳能驱动气候系统的实验操作结果。该系统安装在一所大学建筑内，由两个太阳能集热器场、一个不同运行方式的吸附式制冷机、一个多进出水分层热水储存器以及一个冷水储存器组成。描述了系统和应用的建模方法，并提出了混合整数非线性 MPC 的并行化算法和系统的相应实现。最后，我们展示并讨论了系统的实验操作结果，并突出了混合整数非线性 MPC 应用的优势。