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Methodology for the Automatic Generation of Optimization Models of Systems of Flexible Energy Resources

Author

Listed:
  • Lukas Peter Wagner

    (Institute of Automation Technology, Helmut Schmidt University, 22043 Hamburg, Germany)

  • Felix Gehlhoff

    (Institute of Automation Technology, Helmut Schmidt University, 22043 Hamburg, Germany)

  • Lasse Matthias Reinpold

    (Institute of Automation Technology, Helmut Schmidt University, 22043 Hamburg, Germany)

  • Georg Frey

    (Chair of Automation and Energy Systems, Saarland University, 66123 Saarbrücken, Germany)

  • Julian Jepsen

    (Institute of Materials Science, Helmut Schmidt University, 22043 Hamburg, Germany
    Institute of Hydrogen Technology, Helmholtz-Zentrum Hereon, 21502 Geesthacht, Germany)

  • Alexander Fay

    (Chair of Automation, Ruhr University, 44801 Bochum, Germany)

Abstract

The integration of increasing shares of intermittent renewable energy necessitates flexibility in both energy generation and consumption. Typically, the operation of flexible energy resources is orchestrated through optimization models. However, the manual creation of these models is a complex and error-prone task, often requiring the expertise of domain specialists. This work introduces a methodology for the automatic generation of optimization models for systems of flexible energy resources to simplify the modeling process and increase the use of energy flexibility. This methodology utilizes a modular, generic model structure designed to depict systems of flexible energy resources. It incorporates algorithms for model parameter derivation from operational data and an information model that represents the system’s structure and dependencies of resources. The efficacy of this methodology is demonstrated in two case studies, highlighting its relevance and ability to significantly streamline the optimization modeling process by minimizing the need for manual intervention.

Suggested Citation

  • Lukas Peter Wagner & Felix Gehlhoff & Lasse Matthias Reinpold & Georg Frey & Julian Jepsen & Alexander Fay, 2025. "Methodology for the Automatic Generation of Optimization Models of Systems of Flexible Energy Resources," Energies, MDPI, vol. 18(2), pages 1-35, January.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:2:p:325-:d:1566118
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    References listed on IDEAS

    as
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    4. Kasper, Lukas & Schwarzmayr, Paul & Birkelbach, Felix & Javernik, Florian & Schwaiger, Michael & Hofmann, René, 2024. "A digital twin-based adaptive optimization approach applied to waste heat recovery in green steel production: Development and experimental investigation," Applied Energy, Elsevier, vol. 353(PB).
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