Multi-period Resource Integration in Carbon Dioxide Converting Networks

Industrial symbiosis coupled with emission footprint minimization and resource conservation strategies is a highly acclaimed means of sustainably tackling global concerns of environmental pollution and depleting resources. Setting carbon reduction targets is the primary means policymakers employ to...

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Autores principales: Elizabeth J. Abraham, Dhabia M. Al-Mohannadi, Patrick Linke
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Lenguaje:EN
Publicado: AIDIC Servizi S.r.l. 2021
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Acceso en línea:https://doaj.org/article/09b53f81e6b147da86ed19c424b1a0f4
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spelling oai:doaj.org-article:09b53f81e6b147da86ed19c424b1a0f42021-11-15T21:46:53ZMulti-period Resource Integration in Carbon Dioxide Converting Networks10.3303/CET21882132283-9216https://doaj.org/article/09b53f81e6b147da86ed19c424b1a0f42021-11-01T00:00:00Zhttps://www.cetjournal.it/index.php/cet/article/view/12006https://doaj.org/toc/2283-9216Industrial symbiosis coupled with emission footprint minimization and resource conservation strategies is a highly acclaimed means of sustainably tackling global concerns of environmental pollution and depleting resources. Setting carbon reduction targets is the primary means policymakers employ to reduce emissions. The reduction is achieved by many pathways which include energy efficiency, fuel switching, carbon capture utilization and storage (CCUS), renewable energy (RE) and more recently, negative emission technologies (NETs). An eco-industrial park (EIP) incorporates industrial symbiosis to implement these solutions by synergistically exchanging resources between its entities. While many works have integrated a single resource in EIPs, the integration of multiple resources is an emerging area with remarkable potential to achieve sustainable benefits. This work introduces an extension to multiple resource integration by allowing it to translate over a time horizon. Policies are designed to achieve a target over a specified time horizon. The emerging reduction pathways will therefore change over time either by adapting to a policy or by modifying itself to improve performance, thereby making policies critical to an EIP’s design during its lifetime. The proposed method will employ a mixed-integer linear programming model to optimize network configurations and planning strategies for a set of objectives over multiple time periods. The model will also assess the network's economic and environmental benefits to allow stakeholders to assess and implement changes in their facilities. The model is illustrated by developing a CO2 converting network that maximizes total profit and minimizes emissions while simultaneously adapting to systematic changes in environmental policies.Elizabeth J. AbrahamDhabia M. Al-MohannadiPatrick LinkeAIDIC Servizi S.r.l.articleChemical engineeringTP155-156Computer engineering. Computer hardwareTK7885-7895ENChemical Engineering Transactions, Vol 88 (2021)
institution DOAJ
collection DOAJ
language EN
topic Chemical engineering
TP155-156
Computer engineering. Computer hardware
TK7885-7895
spellingShingle Chemical engineering
TP155-156
Computer engineering. Computer hardware
TK7885-7895
Elizabeth J. Abraham
Dhabia M. Al-Mohannadi
Patrick Linke
Multi-period Resource Integration in Carbon Dioxide Converting Networks
description Industrial symbiosis coupled with emission footprint minimization and resource conservation strategies is a highly acclaimed means of sustainably tackling global concerns of environmental pollution and depleting resources. Setting carbon reduction targets is the primary means policymakers employ to reduce emissions. The reduction is achieved by many pathways which include energy efficiency, fuel switching, carbon capture utilization and storage (CCUS), renewable energy (RE) and more recently, negative emission technologies (NETs). An eco-industrial park (EIP) incorporates industrial symbiosis to implement these solutions by synergistically exchanging resources between its entities. While many works have integrated a single resource in EIPs, the integration of multiple resources is an emerging area with remarkable potential to achieve sustainable benefits. This work introduces an extension to multiple resource integration by allowing it to translate over a time horizon. Policies are designed to achieve a target over a specified time horizon. The emerging reduction pathways will therefore change over time either by adapting to a policy or by modifying itself to improve performance, thereby making policies critical to an EIP’s design during its lifetime. The proposed method will employ a mixed-integer linear programming model to optimize network configurations and planning strategies for a set of objectives over multiple time periods. The model will also assess the network's economic and environmental benefits to allow stakeholders to assess and implement changes in their facilities. The model is illustrated by developing a CO2 converting network that maximizes total profit and minimizes emissions while simultaneously adapting to systematic changes in environmental policies.
format article
author Elizabeth J. Abraham
Dhabia M. Al-Mohannadi
Patrick Linke
author_facet Elizabeth J. Abraham
Dhabia M. Al-Mohannadi
Patrick Linke
author_sort Elizabeth J. Abraham
title Multi-period Resource Integration in Carbon Dioxide Converting Networks
title_short Multi-period Resource Integration in Carbon Dioxide Converting Networks
title_full Multi-period Resource Integration in Carbon Dioxide Converting Networks
title_fullStr Multi-period Resource Integration in Carbon Dioxide Converting Networks
title_full_unstemmed Multi-period Resource Integration in Carbon Dioxide Converting Networks
title_sort multi-period resource integration in carbon dioxide converting networks
publisher AIDIC Servizi S.r.l.
publishDate 2021
url https://doaj.org/article/09b53f81e6b147da86ed19c424b1a0f4
work_keys_str_mv AT elizabethjabraham multiperiodresourceintegrationincarbondioxideconvertingnetworks
AT dhabiamalmohannadi multiperiodresourceintegrationincarbondioxideconvertingnetworks
AT patricklinke multiperiodresourceintegrationincarbondioxideconvertingnetworks
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