Integrated multi-level bioenergy supply chain modelling applied to sugarcane biorefineries in South Africa: 26 European Symposium on Computer Aided Process Engineering

Florent Delval, Miao Guo, Koen H. van Dam, Jonas Stray, Kate Haigh, Johann Görgens, Nilay Shah

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Citations (Scopus)

Abstract

Bioenergy is expected to play a significant role in future energy mixes worldwide, especially to tackle a range of environmental issues in developing regions. However, as a complex system, bioenergy involves interacting sustainability and economic issues across multiple levels e.g. strategic goals at the supply chain level and the motivation of individual stakeholders. Thus sustainable design of bioenergy supply chains from whole-system perspectives is needed, taking into account multi-level stakeholders involved, from the industries and the governments to the final customers and land owners. This study presents a bioenergy system modelling toolkit, soft-linking an agent based model with an optimisation model to support the value chain design in a multi-level, multi-objective and multi-stakeholder context. The functionality of the developed decision-making tool has been demonstrated by modelling a South African sugarcane biorefineries case.
Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
EditorsZdravko Kravanja, Miloš Bogataj
PublisherElsevier
Pages2037-2042
Number of pages6
Volume38
ISBN (Print)1570-7946
DOIs
Publication statusPublished - 2016

Keywords

  • Biorefinery
  • optimisation
  • agent-based modelling
  • integrated energy systems

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