Synthesis of utility supply chain network and industrial symbioses for heat integration

This paper presents a method for integrating the periodic heat demand of sets of co-located process plants with a biomass-based utility supply chain network. The methodology adopted involves generating a composite superstructure, which combines the supply chain model and the multi-period interplant...

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Veröffentlicht in:Journal of cleaner production 2022-12, Vol.380, p.134921, Article 134921
Hauptverfasser: Isafiade, Adeniyi Jide, Cowen, Nicholas, Vogel, Andrew, Čuček, Lidija, Kravanja, Zdravko
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container_start_page 134921
container_title Journal of cleaner production
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creator Isafiade, Adeniyi Jide
Cowen, Nicholas
Vogel, Andrew
Čuček, Lidija
Kravanja, Zdravko
description This paper presents a method for integrating the periodic heat demand of sets of co-located process plants with a biomass-based utility supply chain network. The methodology adopted involves generating a composite superstructure, which combines the supply chain model and the multi-period interplant stage-wise superstructure model. Supply nodes in the supply chain are linked to the central utility hub through a set of transportation/energy transmission options, while the utility hub is linked to a set of co-located process plants through fluid transmission pipelines. The developed model was applied to a hypothetical case study involving three co-located process plants. The solution generated involves the use of biomass, transported by truck. For hot utility generation at the utility hub, corn stover is used in all seasons (63.4% of the total feedstock), glycerol in seasons 1 and 3 (27.1% of the total feedstock) and wood only in season 1 (9.5% of the total feedstock). In terms of hot utilities generated from the selected feedstocks, only high- and low-pressure steam were selected. Of the 14 heat exchangers selected, 3 involve interplant heat exchange at the utility hub, 2 are hot utility heat exchangers, 1 is cold utility exchanger and 8 are intra-plant heat exchangers. The developed method illustrates how seasonality in availability of bio-based renewable energy sources and the periodicity of process plants operating parameters influence the heat demand of co-located process plants.
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source Elsevier ScienceDirect Journals
subjects biomass
case studies
cold
corn stover
energy
feedstocks
glycerol
Heat exchanger network
heat transfer
Industrial symbiosis
Multiperiod optimisation
periodicity
renewable energy sources
Stagewise superstructure
steam
supply chain
Supply chain network
transportation
wood
title Synthesis of utility supply chain network and industrial symbioses for heat integration
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