Resource-task network formulations for industrial demand side management of a steel plant

Research output: Contribution to journalArticleScientificpeer-review

Researchers

Research units

  • ABB Group
  • Laboratório Nacional de Energia e Geologia (LNEG)
  • RWTH Aachen University

Abstract

In today's energy markets, there is a growing effort toward the alignment of the industrial sector and the power grid for the sake of efficient energy distribution and consumption. In this paper, the resource-task network is used to provide a generic modeling framework for production scheduling under energy constraints. Three alternative process models for the energy-intensive melt shop of a steel plant are proposed and linked to a discrete-time formulation. The results show a trade-off between accurate representation of problem data and computational performance. By keeping track of the total energy and power consumption through time, we study the impact of fluctuating energy prices on the scheduling of operations and the economic benefits that can be obtained from the plant's participation in the price- and incentive-based industrial demand side management programs.

Details

Original languageEnglish
Pages (from-to)13046-13058
Number of pages13
JournalIndustrial and Engineering Chemistry Research
Volume52
Issue number36
Publication statusPublished - 11 Sep 2013
MoE publication typeA1 Journal article-refereed

    Research areas

  • industrial demands, production scheduling, resource-task networks

ID: 6320906