Steel Production Scheduling Optimization under Time-sensitive Electricity Costs

Hubert Hadera, Iiro Harjunkoski*, Ignacio E. Grossmann, Guido Sand, Sebastian Engell

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

13 Citations (Scopus)


Demand response of industrial production processes can support the transformation process of today's energy supply systems by enabling an active load management. For energy-intensive industries this can be seen as an opportunity to reduce costs taking advantage of process flexibility. In this study we extend a continuous-time scheduling model with generic energy-awareness to optimize the electricity purchase together with the load commitment problem. Considered electricity sources are volatile day-ahead markets, time-of-use (TOU) and base load contracts, as well as onsite generation together with a possibility to sell electricity. The model is applied to a batch process of a melt shop section in a stainless steel plant. Example case study scenarios show that the potential threat of high prices in day-ahead markets can be turned into an opportunity when optimally choosing the strategy for both scheduling the production and optimizing its net consumption cost.

Original languageEnglish
Pages (from-to)373-378
Number of pages6
JournalComputer Aided Chemical Engineering
Publication statusPublished - 2014
MoE publication typeA1 Journal article-refereed


  • Demand-side management
  • Energy optimization
  • Scheduling
  • Steel plant


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