Schwaiger, C., Trautner, T. F., & Bleicher, F. (2023). Load Profile Optimization Using Electricity Wholesale Market Price Data for Discrete Manufacturing. In H. Kohl, G. Seliger, & F. Dietrich (Eds.), Manufacturing Driving Circular Economy: Proceedings of the 18th Global Conference on Sustainable Manufacturing, October 5-7, 2022, Berlin (pp. 508–516). Springer. https://doi.org/10.1007/978-3-031-28839-5_57
18th Global Conference on Sustainable Manufacturing
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Event date:
5-Oct-2022 - 7-Oct-2022
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Event place:
Berlin, Germany
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Number of Pages:
9
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Publisher:
Springer
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Peer reviewed:
Yes
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Keywords:
day-ahead; energy flexibility; demand response; demand side management; energy price volatility; energy-cost-optimization
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Abstract:
Several strategies for reducing energy costs can be derived from the energy procurement cost function for Austrian end users of electrical energy. Based on short-term energy procurement on the day-ahead trading floor an optimization problem for cost-optimal scheduling of the load curve of a single plant has been formulated. A preliminary study for an annealing furnace is presented and it is found that the approach can lead to significant savings during periods of volatile prices. Furthermore, the strategy is applicable to any production process that provides sufficient flexibility, and therefore, if the trade-off between peak energy costs is included, can be applied to entire production systems.
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Project title:
MFP ("Multi-Firm-Project") 2.3: "Predictive Production System" - Engel Energieeffizienz: 881843 (FFG - Österr. Forschungsförderungs- gesellschaft mbH)
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Research Areas:
Digital Transformation in Manufacturing: 15% Sustainable Production and Technologies: 85%
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