A hybrid optimisation model for the synthesis of sustainable gasification-based integrated biorefinery

Zumer Shabbir, Douglas H. S. Tay, Denny K. S. Ng

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

Depletion of fossil fuels and increasing public awareness of environmental issues has stimulated the search for alternative energy sources. Biofuels are recognised as one of the most promising alternatives to fossil fuels, as they can be produced from various types of feedstock. The efficiency and sustainability of biomass-based production can be maximised by producing biofuels along with other valuable coproducts in a " biorefinery" This concept was proposed to make the production of biofuels and biochemicals more economically viable by taking advantage of opportunities for process integration and waste recovery. In this work, a novel hybrid optimisation model that combines superstructure-based optimisation approach and insight-based automated targeting for the synthesis of a sustainable integrated biorefinery is presented. In addition, fuzzy optimisation is also adapted to synthesize such integrated facility with the simultaneous consideration of both economic and environmental performance. Note that the proposed approach is a generic synthesis strategy that can be applied even without detailed modelling of individual processes.

Original languageEnglish
Pages (from-to)1568-1581
Number of pages14
JournalChemical Engineering Research and Design
Volume90
Issue number10
DOIs
Publication statusPublished - Oct 2012

Keywords

  • Automated targeting
  • Biofuel
  • Fuzzy optimisation
  • Gasification
  • Integrated biorefinery

ASJC Scopus subject areas

  • Chemistry(all)
  • Chemical Engineering(all)

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