Resource-task network based approach for industrial demand side management of steel production

Lige Sun, Iiro Harjunkoski*, Pedro Castro

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)

Abstract

In today's energy markets there is a growing effort in the alignment of the industrial sector to the power grid for the sake of efficient energy distribution and consumption. The steel making industry, as one of the most energy-intensive stakeholders, may play an important role in this context. In this paper, we use the Resource Task Network (RTN) in order to provide a generic modeling framework for scheduling problems under energy constraints. We study the impact of fluctuating electricity prices on the scheduling of operations in the steel plant and the economic profits that can be obtained from the steel plant's participation in the incentive-based iDSM program.

Original languageEnglish
Pages (from-to)259-264
Number of pages6
JournalComputer Aided Chemical Engineering
Volume32
DOIs
Publication statusPublished - 2013
MoE publication typeA1 Journal article-refereed

Keywords

  • Discrete-time
  • Industrial demand side management
  • Planning
  • Scheduling

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