A Mean Value Cross Decomposition Strategy for Demand-side Management of a Pulping Process

Hubert Hadera, Per Wide, Iiro Harjunkoski*, Juha Mäntysaari, Joakim Ekström, Guido Sand, Sebastian Engell

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

15 Citations (Scopus)

Abstract

Energy is becoming a critical resource for process industries as introduction of new policies drive changes in the energy supply systems. Energy availability and pricing is much more volatile. In this study, we propose a Mean Value Cross Decomposition approach to functionally separate production scheduling from energy-cost optimization. Such a decomposition makes it possible to exploit existing optimization solutions avoiding a need to create a new monolithic model. The proposed framework is applied to a continuous process of thermo-mechanical pulping using a discrete-time Resource-Task Network model. Example case study scenarios show that the approach gives optimal system-wide solutions while keeping the models separated.

Original languageEnglish
Pages (from-to)1931-1936
Number of pages6
JournalComputer Aided Chemical Engineering
Volume37
DOIs
Publication statusPublished - 2015
MoE publication typeA1 Journal article-refereed

Keywords

  • Demand-side management
  • Mean value cross decomposition
  • Scheduling

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