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A data-driven optimization framework for industrial demand-side flexibility

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  • Manna, Carlo
  • Lahariya, Manu
  • Karami, Farzaneh
  • Develder, Chris

Abstract

Securing profits while offering industrial demand-side flexibility in both energy and reserve markets is critical to ensure the profitability of energy-intensive industrial plants to make available their flexible assets in the electricity markets and hence accelerating the energy transition. Proposing efficient bidding strategies for simultaneous participation in the energy and reserve market is challenging since it requires the integration of different market mechanisms in a single optimization problem (combining energy and reserve markets), as well as an accurate mathematical model of industrial processes from which to obtain energy flexibility. Often, such mathematical models are either not available or are described through complex simulators, making the design of a computationally efficient bidding strategy a complicated task.

Suggested Citation

  • Manna, Carlo & Lahariya, Manu & Karami, Farzaneh & Develder, Chris, 2023. "A data-driven optimization framework for industrial demand-side flexibility," Energy, Elsevier, vol. 278(C).
    • Handle: RePEc:eee:energy:v:278:y:2023:i:c:s0360544223011313
    DOI: 10.1016/j.energy.2023.127737
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    References listed on IDEAS

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    1. Pandžić, H. & Dvorkin, Y. & Carrión, M., 2018. "Investments in merchant energy storage: Trading-off between energy and reserve markets," Applied Energy, Elsevier, vol. 230(C), pages 277-286.
    2. Herre, Lars & Tomasini, Federica & Paridari, Kaveh & Söder, Lennart & Nordström, Lars, 2020. "Simplified model of integrated paper mill for optimal bidding in energy and reserve markets," Applied Energy, Elsevier, vol. 279(C).
    3. Bott, Andreas & Janke, Tim & Steinke, Florian, 2023. "Deep learning-enabled MCMC for probabilistic state estimation in district heating grids," Applied Energy, Elsevier, vol. 336(C).
    4. Michael Schoepf & Martin Weibelzahl & Lisa Nowka, 2018. "The Impact of Substituting Production Technologies on the Economic Demand Response Potential in Industrial Processes," Energies, MDPI, vol. 11(9), pages 1-13, August.
    5. Shakibi, Hamid & Shokri, Afshar & Assareh, Ehsanolah & Yari, Mortaza & Lee, Moonyong, 2023. "Using machine learning approaches to model and optimize a combined solar/natural gas-based power and freshwater cogeneration system," Applied Energy, Elsevier, vol. 333(C).
    6. An, Xiangxin & Si, Guojin & Xia, Tangbin & Wang, Dong & Pan, Ershun & Xi, Lifeng, 2023. "An energy-efficient collaborative strategy of maintenance planning and production scheduling for serial-parallel systems under time-of-use tariffs," Applied Energy, Elsevier, vol. 336(C).
    7. Bianchi, F.R. & Bosio, B. & Conte, F. & Massucco, S. & Mosaico, G. & Natrella, G. & Saviozzi, M., 2023. "Modelling and optimal management of renewable energy communities using reversible solid oxide cells," Applied Energy, Elsevier, vol. 334(C).
    8. Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
    9. Fabian Borst & Nina Strobel & Thomas Kohne & Matthias Weigold, 2021. "Investigating the Electrical Demand-Side Management Potential of Industrial Steam Supply Systems Using Dynamic Simulation," Energies, MDPI, vol. 14(6), pages 1-20, March.
    10. Heffron, Raphael & Körner, Marc-Fabian & Wagner, Jonathan & Weibelzahl, Martin & Fridgen, Gilbert, 2020. "Industrial demand-side flexibility: A key element of a just energy transition and industrial development," Applied Energy, Elsevier, vol. 269(C).
    11. Wang, Yi & Qiu, Dawei & Sun, Mingyang & Strbac, Goran & Gao, Zhiwei, 2023. "Secure energy management of multi-energy microgrid: A physical-informed safe reinforcement learning approach," Applied Energy, Elsevier, vol. 335(C).
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