Abstract
Individual industries can reduce their energy related costs by stipulating collaborative arrangements in the form of industrial energy communities. This paper analyses a case study of two manufacturing factories constituting an industrial energy community, presenting an approach to minimize grid electricity purchase through the aggregation of their flexibilities. The economic impact of deviating from the baseline production schedule is addressed, taking into account the additional costs of the flexibility offers. The problem is formulated as a mixed-integer linear optimization model, considering the effects of a solar PV power plant and electricity purchase on the day-ahead market. The results of the study show that the proposed approach can significantly reduce the costs of electricity purchase for the factories while maintaining the same level of production, promoting RES penetration and energy security of the cluster.
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Acknowledgements
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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Caprara, A., González-Font-de-Rubinat, P., Ranaboldo, M., Bullich-Massagué, E., Aragüés-Peñalba, M., Cimmino, D. (2024). Industrial Energy Cluster Optimization Using Flexibility Aggregation. 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_43
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DOI: https://doi.org/10.1007/978-3-031-57996-7_43
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