Application of feedback-corrected Optimal Scheduling for Reducing the Energy Consumption of a Mixing Process in Foundry
- We present a feedback-corrected optimal scheduling approach to reduce the demand of electrical energy of batch processes, exemplified at the sand preparation in foundry. The main energy driver in the exemplary foundry is the idle time of the batch-wise working sand mixers. In this novel approach, we use linear integer programming to minimize the demand of energy of the sand mixers by scheduling the batches in real-time. For the optimization we use a physical model of the sand preparation, which takes dwell-times of the processes as dead-time systems into account. In this paper, we present the steps to make the optimal scheduling approach applicable for the production process. The application at the real production plant proves the performance of the suggested approach. Compared to the conventional control, the feedback-corrected optimal scheduling approach leads to an reduction in energy consumption of approximately 6.5 % without modifying the process or the aggregates.
Author: | Alexander RoseORCiD, Martin GrotjahnORCiDGND, Axel Schild, Bennet LuckGND |
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URN: | urn:nbn:de:bsz:960-opus4-21583 |
DOI: | https://doi.org/10.25968/opus-2158 |
DOI original: | https://doi.org/10.1109/ICSTCC52150.2021.9607108 |
ISBN: | 978-1-6654-1496-8 |
Parent Title (English): | 25th International Conference on System Theory, Control and Computing (ICSTCC) |
Publisher: | IEEE |
Document Type: | Conference Proceeding |
Language: | English |
Year of Completion: | 2021 |
Publishing Institution: | Hochschule Hannover |
Release Date: | 2022/01/24 |
Tag: | batch-wise parallel process; dwell-time; foundry; linear integer programming; optimal scheduling; real-time application; soft constraint |
GND Keyword: | Ablaufplanung; Ganzzahlige lineare Optimierung; Verweilzeit; Chargenbetrieb; Gießerei; Prozessoptimierung; Energieeinsparung |
Page Number: | 7 |
Link to catalogue: | 1795490772 |
Institutes: | Fakultät II - Maschinenbau und Bioverfahrenstechnik |
DDC classes: | 620 Ingenieurwissenschaften und Maschinenbau |
Licence (German): | Urheberrechtlich geschützt |