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 |
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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. |
doi_str_mv | 10.1016/j.jclepro.2022.134921 |
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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.</description><identifier>ISSN: 0959-6526</identifier><identifier>EISSN: 1879-1786</identifier><identifier>DOI: 10.1016/j.jclepro.2022.134921</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>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</subject><ispartof>Journal of cleaner production, 2022-12, Vol.380, p.134921, Article 134921</ispartof><rights>2022 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c342t-78f36c1f7b2b121e6b172624df9562c7e455c2c470fa60439976156e06fab8243</citedby><cites>FETCH-LOGICAL-c342t-78f36c1f7b2b121e6b172624df9562c7e455c2c470fa60439976156e06fab8243</cites><orcidid>0000-0003-1374-233X ; 0000-0003-4754-2758 ; 0000-0002-6918-312X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0959652622044948$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Isafiade, Adeniyi Jide</creatorcontrib><creatorcontrib>Cowen, Nicholas</creatorcontrib><creatorcontrib>Vogel, Andrew</creatorcontrib><creatorcontrib>Čuček, Lidija</creatorcontrib><creatorcontrib>Kravanja, Zdravko</creatorcontrib><title>Synthesis of utility supply chain network and industrial symbioses for heat integration</title><title>Journal of cleaner production</title><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.</description><subject>biomass</subject><subject>case studies</subject><subject>cold</subject><subject>corn stover</subject><subject>energy</subject><subject>feedstocks</subject><subject>glycerol</subject><subject>Heat exchanger network</subject><subject>heat transfer</subject><subject>Industrial symbiosis</subject><subject>Multiperiod optimisation</subject><subject>periodicity</subject><subject>renewable energy sources</subject><subject>Stagewise superstructure</subject><subject>steam</subject><subject>supply chain</subject><subject>Supply chain network</subject><subject>transportation</subject><subject>wood</subject><issn>0959-6526</issn><issn>1879-1786</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFkMtKxDAYhYMoOI4-gpClm45JmibtSkS8wYALFZchTf84qZ1mTFKlb2-Hzt7VWZwLnA-hS0pWlFBx3a5a08Eu-BUjjK1ozitGj9CClrLKqCzFMVqQqqgyUTBxis5ibAmhkki-QB-vY582EF3E3uIhuc6lEcdht-tGbDba9biH9OvDF9Z9g13fDDEFpzscx23tfISIrQ94AzpNboLPoJPz_Tk6sbqLcHHQJXp_uH-7e8rWL4_Pd7frzOScpUyWNheGWlmzmjIKoqaSCcYbWxWCGQm8KAwzXBKrBeF5VUlBCwFEWF2XjOdLdDXvTve_B4hJbV000HW6Bz9EldMiLznJq3KKFnPUBB9jAKt2wW11GBUlag9SteoAUu1Bqhnk1LuZezD9-HEQVDQOegONC2CSarz7Z-EPR-l_oA</recordid><startdate>20221220</startdate><enddate>20221220</enddate><creator>Isafiade, Adeniyi Jide</creator><creator>Cowen, Nicholas</creator><creator>Vogel, Andrew</creator><creator>Čuček, Lidija</creator><creator>Kravanja, Zdravko</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0003-1374-233X</orcidid><orcidid>https://orcid.org/0000-0003-4754-2758</orcidid><orcidid>https://orcid.org/0000-0002-6918-312X</orcidid></search><sort><creationdate>20221220</creationdate><title>Synthesis of utility supply chain network and industrial symbioses for heat integration</title><author>Isafiade, Adeniyi Jide ; Cowen, Nicholas ; Vogel, Andrew ; Čuček, Lidija ; Kravanja, Zdravko</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-78f36c1f7b2b121e6b172624df9562c7e455c2c470fa60439976156e06fab8243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>biomass</topic><topic>case studies</topic><topic>cold</topic><topic>corn stover</topic><topic>energy</topic><topic>feedstocks</topic><topic>glycerol</topic><topic>Heat exchanger network</topic><topic>heat transfer</topic><topic>Industrial symbiosis</topic><topic>Multiperiod optimisation</topic><topic>periodicity</topic><topic>renewable energy sources</topic><topic>Stagewise superstructure</topic><topic>steam</topic><topic>supply chain</topic><topic>Supply chain network</topic><topic>transportation</topic><topic>wood</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Isafiade, Adeniyi Jide</creatorcontrib><creatorcontrib>Cowen, Nicholas</creatorcontrib><creatorcontrib>Vogel, Andrew</creatorcontrib><creatorcontrib>Čuček, Lidija</creatorcontrib><creatorcontrib>Kravanja, Zdravko</creatorcontrib><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Journal of cleaner production</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Isafiade, Adeniyi Jide</au><au>Cowen, Nicholas</au><au>Vogel, Andrew</au><au>Čuček, Lidija</au><au>Kravanja, Zdravko</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Synthesis of utility supply chain network and industrial symbioses for heat integration</atitle><jtitle>Journal of cleaner production</jtitle><date>2022-12-20</date><risdate>2022</risdate><volume>380</volume><spage>134921</spage><pages>134921-</pages><artnum>134921</artnum><issn>0959-6526</issn><eissn>1879-1786</eissn><abstract>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.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.jclepro.2022.134921</doi><orcidid>https://orcid.org/0000-0003-1374-233X</orcidid><orcidid>https://orcid.org/0000-0003-4754-2758</orcidid><orcidid>https://orcid.org/0000-0002-6918-312X</orcidid></addata></record> |
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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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