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Including batch scheduling flexibility in industrial energy system design and dispatch optimization: A case study of a brewery

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  • Lipka, Johannes Bernd
  • Höttecke, Lukas
  • Stursberg, Paul
  • Metzger, Michael
  • Heger, Hans Jörg
  • Niessen, Stefan

Abstract

This paper analyzes the impact of batch scheduling flexibility (BSF) on design and operational decisions. It presents a mixed-integer linear programming framework that incorporates scheduling flexibility of multi-modal industrial batch processes into energy system design and dispatch optimization. Applied to a real brewery, the model shifts brewing batch start times to provide operational flexibility. While BSF has only a minor effect on optimal system design, most notably reducing required lithium-ion battery capacity by about 9%, it substantially improves operational performance. In day-ahead dispatch, BSF reduces peak grid demand by around 6%, increases renewable energy utilization by up to 2.6%, and lowers annual energy procurement costs by up to 4.2%. A consistent pattern emerges in which morning batches are delayed by roughly 75 min, capturing a large share of potential savings.

Suggested Citation

  • Lipka, Johannes Bernd & Höttecke, Lukas & Stursberg, Paul & Metzger, Michael & Heger, Hans Jörg & Niessen, Stefan, 2026. "Including batch scheduling flexibility in industrial energy system design and dispatch optimization: A case study of a brewery," Energy, Elsevier, vol. 346(C).
    • Handle: RePEc:eee:energy:v:346:y:2026:i:c:s0360544226003981
    DOI: 10.1016/j.energy.2026.140295
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    References listed on IDEAS

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