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Assessing the potential of combined production and energy management in Industrial Energy Hubs – Analysis of a chipboard production plant

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  • Halmschlager, Verena
  • Hofmann, René

Abstract

To minimize energy consumption in today’s industry, holistic energy efficiency solutions are required. The Energy Hub is a promising concept for optimal energy management of industrial systems with multiple energy carriers like electricity, heat, or gas. However, most of the research conducted in this field focuses on optimal energy management and does not consider the scheduling of product in manufacturing processes. Though, including production scheduling in the energy optimization of manufacturing processes can considerably increase energy efficiency, especially if batch processes are involved. This work identifies the potential of combined energy and production scheduling in Industrial Energy Hubs, using a chipboard production process as a use case. The chipboard production plant includes a combined heat and power unit, units for production, and has two district heating demands as external requirements. A generic modeling and optimization framework, based on mixed-integer linear programming, is used to model and optimize different scenarios. The results show that the scheduling of product has a significant impact on the energy management of the chipboard production plant: The required energy for the production units can be reduced by approximately 30 %. Nevertheless, this potential can only be exploited if process design is adapted and excess heat is utilized appropriately.

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  • Halmschlager, Verena & Hofmann, René, 2021. "Assessing the potential of combined production and energy management in Industrial Energy Hubs – Analysis of a chipboard production plant," Energy, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:energy:v:226:y:2021:i:c:s0360544221006642
    DOI: 10.1016/j.energy.2021.120415
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    References listed on IDEAS

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    Cited by:

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    2. Aslani, Mehrdad & Mashayekhi, Mehdi & Hashemi-Dezaki, Hamed & Ketabi, Abbas, 2022. "Robust optimal operation of energy hub incorporating integrated thermal and electrical demand response programs under various electric vehicle charging modes," Applied Energy, Elsevier, vol. 321(C).
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    4. Anastasovski, Aleksandar, 2023. "What is needed for transformation of industrial parks into potential positive energy industrial parks? A review," Energy Policy, Elsevier, vol. 173(C).
    5. Li, Hongcheng & Yang, Dan & Cao, Huajun & Ge, Weiwei & Chen, Erheng & Wen, Xuanhao & Li, Chongbo, 2022. "Data-driven hybrid petri-net based energy consumption behaviour modelling for digital twin of energy-efficient manufacturing system," Energy, Elsevier, vol. 239(PC).
    6. Jonas Sievers & Thomas Blank, 2023. "A Systematic Literature Review on Data-Driven Residential and Industrial Energy Management Systems," Energies, MDPI, vol. 16(4), pages 1-21, February.
    7. Nasiri, Nima & Zeynali, Saeed & Ravadanegh, Sajad Najafi & Marzband, Mousa, 2021. "A hybrid robust-stochastic approach for strategic scheduling of a multi-energy system as a price-maker player in day-ahead wholesale market," Energy, Elsevier, vol. 235(C).
    8. Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).

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