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Abstract

Energy costs can represent a large portion of the total production costs, and therefore, any changes in electricity tariffs can have a significant impact on profitability. This paper analyses how different types of electricity tariffs can affect the scheduling of a case study model, in particular, how time-of-use tariffs and real-time-pricing tariffs affect the single-machine scheduling problem of a production process with the introduction of the energy vector in the optimization cost. The influence of tariffs is examined, and their impact on optimal production scheduling is evaluated from an approach in demand response price-based programs, for ensuring cost-effectiveness while looking at the carbon footprint of the industrial process. The results indicate that the cost improvement of one tariff over the other is not consistent across all time periods. Meanwhile, the carbon footprint is reduced with a real-time-pricing tariff, since the real-time-pricing mechanism and the generation mix of fossil fuel technologies are positively correlated.

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Acknowledgement

This work has been supported by the FLEX4FACT project, funded by the European Union under the Horizon Europe research and innovation programme, under the grant agreement number 101058657. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them. Eduard Bullich-Massagué is lecturer of the Serra Húnter programme.

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Correspondence to Fisco-Compte Pau .

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Pau, FC., Eduard, BM., Bruno, D., Marc, J., Rafael, P., Matteo, R. (2024). The Impact of Electricity Tariffs on Optimal Production Scheduling. In: Bautista-Valhondo, J., Mateo-Doll, M., Lusa, A., Pastor-Moreno, R. (eds) Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). CIO 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 206. Springer, Cham. https://doi.org/10.1007/978-3-031-57996-7_48

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  • DOI: https://doi.org/10.1007/978-3-031-57996-7_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-57995-0

  • Online ISBN: 978-3-031-57996-7

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