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Investigating the Electrical Demand-Side Management Potential of Industrial Steam Supply Systems Using Dynamic Simulation

Author

Listed:
  • Fabian Borst

    (Institute of Production Management, Technology and Machine Tools, Technical University of Darmstadt, 64287 Darmstadt, Germany)

  • Nina Strobel

    (Institute of Production Management, Technology and Machine Tools, Technical University of Darmstadt, 64287 Darmstadt, Germany)

  • Thomas Kohne

    (Institute of Production Management, Technology and Machine Tools, Technical University of Darmstadt, 64287 Darmstadt, Germany)

  • Matthias Weigold

    (Institute of Production Management, Technology and Machine Tools, Technical University of Darmstadt, 64287 Darmstadt, Germany)

Abstract

The increasing share of volatile, renewable energies, such as wind and solar power, leads to challenges in the stabilization of power grids and requires more flexibility in future energy systems. This article addresses the flexibilization of the consumer side and presents a simulation-based method for the technical and economic investigation of energy flexibility measures in industrial steam supply systems. The marketing of three different energy-flexibility measures—bivalence, inherent energy storage and adjusting process parameters—both at the spot market and at the balancing power market, are investigated from a technical as well as an economic point of view. Furthermore, the simulation-based methodology also considers pressure and temperature fluctuation induced by energy-flexibility measures. First, different energy-flexibility measures for industrial steam supply systems are introduced. Then, the physical modeling of the steam generation, distribution, and consumption as well as measure-specific control strategies will be discussed. Finally, the methodology is applied to a steam supply system of a chemical company. It is shown that the investigated industrial steam supply system shows energy-flexibility potentials up to 10 MW at peak and an annual average of 5.6 MW, which highly depend on consumer behavior and flexibility requirements.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1533-:d:514377
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    References listed on IDEAS

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    Cited by:

    1. Manna, Carlo & Lahariya, Manu & Karami, Farzaneh & Develder, Chris, 2023. "A data-driven optimization framework for industrial demand-side flexibility," Energy, Elsevier, vol. 278(C).
    2. Cantu Rodriguez, Roman & Palacios-Garcia, Emilio J. & Deconinck, Geert, 2024. "Redesign for flexibility through electrification: Multi-objective optimization of the operation of a multi-energy industrial steam network," Applied Energy, Elsevier, vol. 362(C).
    3. Wu, Zhenyu & Zhao, Xia & Mao, Yang & Liu, Ruimeng, 2024. "Flexibility quantification of desalination plants for demand response: An adaptive robust optimization methodology," Applied Energy, Elsevier, vol. 373(C).
    4. Tombrink, Jonas & Bauer, Dan, 2022. "Demand-based process steam from renewable energy: Implementation and sizing of a latent heat thermal energy storage system based on the Rotating Drum Heat Exchanger," Applied Energy, Elsevier, vol. 321(C).
    5. Wagner, Lukas Peter & Reinpold, Lasse Matthias & Kilthau, Maximilian & Fay, Alexander, 2023. "A systematic review of modeling approaches for flexible energy resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).

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