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A hybrid optimization model for preliminary conceptual design of a sustainable integrated biorefinery with maximum economic performance

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Environmental concerns on the negative impact and depletion of fossil fuels have triggered a search for alternative energy sources. Biofuels are recognised as one of the most potential renewable alternatives. In order to have a sustainable production of biofuels, a processing facility (i.e., biorefinery) that converts biomass into value-added products is needed. As the first and second generations of biofuel production processes are highly inefficient and not economical viable, the concept of integrated biorefinery is proposed. Such biorefinery can improve the overall process performance via multi-level process integrations. In this work, a hybrid optimization model that in-cooperate superstructural optimization approach and insight-based automated targeting for preliminary conceptual design of a sustainable integrated biorefinery is presented.

Original languageEnglish
Title of host publication2011 4th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)
PublisherIEEE
ISBN (Electronic)9781457700057
DOIs
Publication statusPublished - 27 May 2011
Event4th International Conference on Modeling, Simulation and Applied Optimization 2011 - Kuala Lumpur, Malaysia
Duration: 19 Apr 201121 Apr 2011

Conference

Conference4th International Conference on Modeling, Simulation and Applied Optimization 2011
Abbreviated titleICMSAO 2011
Country/TerritoryMalaysia
CityKuala Lumpur
Period19/04/1121/04/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Automated targeting
  • Biofuels
  • Design
  • Integrated biorefinery
  • Optimization

ASJC Scopus subject areas

  • Control and Optimization
  • Modelling and Simulation

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