Robust optimization approach for synthesis of integrated biorefineries with supply and demand uncertainties

Douglas H. S. Tay, Denny K. S. Ng, Raymond R. Tan

Research output: Contribution to journalArticle

45 Citations (Scopus)

Abstract

This work presents a robust optimization approach for the synthesis of integrated biorefineries that deals with uncertainties in raw material supply and product demand. This approach makes use of a single-step mixed integer nonlinear programming formulation, which is generated and solved with data from multiple biomass supply and product demand scenarios. Based on the optimized result, detailed allocation of biomass, intermediates, and final products can be determined. The optimal capacity of each process technology can also be found. An illustrative case study is then used to demonstrate the effectiveness of the robust optimization approach to determine the optimum integrated biorefinery configuration and capacity with consideration of uncertainties.

Original languageEnglish
Pages (from-to)384-389
Number of pages6
JournalEnvironmental Progress and Sustainable Energy
Volume32
Issue number2
DOIs
Publication statusPublished - Jul 2013

Keywords

  • integrated biorefinery
  • process synthesis
  • robust optimization
  • uncertainties

ASJC Scopus subject areas

  • Water Science and Technology
  • Waste Management and Disposal
  • Environmental Engineering
  • Environmental Chemistry
  • Chemical Engineering(all)
  • Renewable Energy, Sustainability and the Environment
  • Environmental Science(all)

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