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Electricity Cost Savings in Energy-Intensive Companies: Optimization Framework and Case Study

Author

Listed:
  • Pablo Benalcazar

    (Mineral and Energy Economy Research Institute, Polish Academy of Sciences, Wybickiego 7A, 31-261 Kraków, Poland)

  • Marcin Malec

    (Mineral and Energy Economy Research Institute, Polish Academy of Sciences, Wybickiego 7A, 31-261 Kraków, Poland)

  • Przemysław Kaszyński

    (Mineral and Energy Economy Research Institute, Polish Academy of Sciences, Wybickiego 7A, 31-261 Kraków, Poland)

  • Jacek Kamiński

    (Mineral and Energy Economy Research Institute, Polish Academy of Sciences, Wybickiego 7A, 31-261 Kraków, Poland)

  • Piotr W. Saługa

    (Department of Management, Faculty of Applied Sciences, WSB University, 41-300 Dąbrowa Gornicza, Poland)

Abstract

In recent years, there has been an increasing urgency among energy-intensive companies to find innovative ways of mitigating the negative financial impacts of rising fuel and electricity prices. Consequently, companies are exploring new technological solutions to lower electricity costs, such as investing in their own power generation sources or storage systems. In this context, this article presents a data-driven optimization-based framework to manage and optimize the operation of a hybrid energy system within industries characterized by substantial power requirements. The framework encompasses several key aspects: electricity generation, self-consumption, storage, and electric grid interaction. The case of an energy-intensive company specializing in wood processing and office furniture production is evaluated. This study explored two system configurations of hybrid energy systems within an energy-intensive company. The result of the analyzed case shows that the system’s flexibility is enhanced by its ability to store energy, resulting in electricity cost savings of nearly 72% and total operating cost savings of 20%.

Suggested Citation

  • Pablo Benalcazar & Marcin Malec & Przemysław Kaszyński & Jacek Kamiński & Piotr W. Saługa, 2024. "Electricity Cost Savings in Energy-Intensive Companies: Optimization Framework and Case Study," Energies, MDPI, vol. 17(6), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:6:p:1307-:d:1353821
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    References listed on IDEAS

    as
    1. Gomes, I.L.R. & Melicio, R. & Mendes, V.M.F., 2021. "A novel microgrid support management system based on stochastic mixed-integer linear programming," Energy, Elsevier, vol. 223(C).
    2. Balderrama, Sergio & Lombardi, Francesco & Riva, Fabio & Canedo, Walter & Colombo, Emanuela & Quoilin, Sylvain, 2019. "A two-stage linear programming optimization framework for isolated hybrid microgrids in a rural context: The case study of the “El Espino” community," Energy, Elsevier, vol. 188(C).
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    1. Colambage, D. Punsara & Wijayapala, W.D. Anura S. & Siyambalapitiya, Tilak, 2024. "Analysing the impact of diverse factors on electricity generation cost: Insights from Sri Lanka," Energy, Elsevier, vol. 311(C).

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