Food and bioenergy: capturing the synergies and conflicts in the design of value chains through spatio-temporal multi-objective optimisation

Research output: Contribution to journalArticle

Abstract

An MILP model was developed for biomass value chains that can maximise synergies and minimise conflicts within the food-energy-water-environment nexus. The model accounts for the spatial dependencies of the system, at a 50 km level, with a long planning horizon from 2010 to 2050 with seasonal time steps. A scenario was presented in which the model was used to examine competition between food and energy for arable land in the UK. Results suggest that the demands for food can be met along with 10% of total energy demands from bioenergy but food production must move to different locations to make way for bioenergy.
Original languageEnglish
Pages (from-to)1873-1878
Number of pages6
JournalComputer Aided Chemical Engineering
Volume44
Early online date2 Aug 2018
DOIs
Publication statusPublished - 2018

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Multiobjective optimization
Biomass
Planning
Water

Keywords

  • GIS analysis
  • biomass value chains
  • food vs. energy
  • land use and resource allocation
  • spatio-temporal supply chain optimisation

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

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abstract = "An MILP model was developed for biomass value chains that can maximise synergies and minimise conflicts within the food-energy-water-environment nexus. The model accounts for the spatial dependencies of the system, at a 50 km level, with a long planning horizon from 2010 to 2050 with seasonal time steps. A scenario was presented in which the model was used to examine competition between food and energy for arable land in the UK. Results suggest that the demands for food can be met along with 10{\%} of total energy demands from bioenergy but food production must move to different locations to make way for bioenergy.",
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