Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

F. Fuhrmann, A. Schirrer, M. Kozek, S. Jakubek:
"Prediction of pulsed heat loads in manufacturing plants";
als Vortrag angenommen für: 21st IFAC World Congress, Berlin; 11.07.2020 - 17.07.2020; in: "21th IFAC World Congress", IFAC-PapersOnLine, (2020), ISSN: 2405-8963.

Kurzfassung englisch:
Predictive control is beneficial for effective energy demand management. Precise disturbance prediction is a decisive factor for the performance of predictive control. This paper focuses on the accurate prediction of pulsed heat loads caused by heat treatment in manufacturing industry processes. An applica- tion-oriented method to predict heat load peaks is developed utilizing basic laws of thermodynamics, vali- dated with process data from an industrial use case, and tested with a model predictive controller. Two core characteristics of the method enable a straightforward application in industry: 1. Historic data from few measurement points are sufficient. 2. Robustness against measurement noise.

Manufacturing plant control, Identification and validation, Disturbance prediction, Energy de- mand management, Industrial application, Model predictive control;

Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.