Energy optimization in the process industries: Unit commitment at systems level

Edwin Zondervan*, Ignacio E. Grossmann, André B. de Haan

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

12 Citations (Scopus)


In previous work, the unit commitment problem has been formulated as a non-convex MINLP, which is computationally expensive to solve. To circumvent this problem, we reformulate in this paper the problem as a convex MIQCP and derive the relevant constraints using propositional logic. We consider a specific problem based on a network of gas and oil fired power generators. Numerical results are presented using several methods (e.g. CPLEX for MIQCP, and DICOPT, SBB for MINLP). It is shown that proposed convex MIQCP reformulation can be solved much faster than previous non-convex models reported in the literature.

Original languageEnglish
Pages (from-to)931-936
Number of pages6
JournalComputer Aided Chemical Engineering
Issue numberC
Publication statusPublished - 2010
Externally publishedYes
Event20th European Symposium on Computer Aided Process Engineering, ESCAPE 2010 - Ischia, Italy
Duration: 6 Jun 20109 Jun 2010
Conference number: 20


  • Energy optimization
  • Unit commitment problem


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