Reconfiguring European industry for net-zero: a qualitative review of hydrogen and carbon capture utilization and storage benefits and implementation challenges

This research study presents a dynamic discrete optimization model for the treatment of municipal solid waste (MSW) with sustainability as an essential research objective. The optimization model screens capacity selections for MSW technologies over distributed sites with consideration of pretreatmen...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Sovacool, Benjamin (author)
مؤلفون آخرون: Furszyfer Del Rio, Dylan (author), Herman, Kyle (author), Iskandarova, Marfuga (author), Uratani, Joao (author), Griffiths, Steven (author)
التنسيق: article
منشور في: 2023
الموضوعات:
الوصول للمادة أونلاين:https://hdl.handle.net/11073/25720
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author Sovacool, Benjamin
author2 Furszyfer Del Rio, Dylan
Herman, Kyle
Iskandarova, Marfuga
Uratani, Joao
Griffiths, Steven
author2_role author
author
author
author
author
author_facet Sovacool, Benjamin
Furszyfer Del Rio, Dylan
Herman, Kyle
Iskandarova, Marfuga
Uratani, Joao
Griffiths, Steven
author_role author
dc.creator.none.fl_str_mv Sovacool, Benjamin
Furszyfer Del Rio, Dylan
Herman, Kyle
Iskandarova, Marfuga
Uratani, Joao
Griffiths, Steven
dc.date.none.fl_str_mv 2023
2024-11-25T10:55:33Z
2024-11-25T10:55:33Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv Sovacool, B. K., Del Rio, D. F., Herman, K., Iskandarova, M., Uratani, J. M., & Griffiths, S. (2024). Reconfiguring European industry for net-zero: a qualitative review of hydrogen and carbon capture utilization and storage benefits and implementation challenges. In Energy & Environmental Science (Vol. 17, Issue 10, pp. 3523–3569). Royal Society of Chemistry (RSC). https://doi.org/10.1039/d3ee03270a
1754-5706
https://hdl.handle.net/11073/25720
10.1039/d3ee03270a
dc.language.none.fl_str_mv en_US
dc.publisher.none.fl_str_mv Royal Society of Chemistry
dc.relation.none.fl_str_mv https://doi.org/10.1039/d3ee03270a
dc.rights.none.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.subject.none.fl_str_mv Sustainability
Municipal solid waste supply chain design
Renewable energy
Mixed integer programming
Multiobjective optimization
Cyclic economy
dc.title.none.fl_str_mv Reconfiguring European industry for net-zero: a qualitative review of hydrogen and carbon capture utilization and storage benefits and implementation challenges
dc.type.none.fl_str_mv Published version
Peer-Reviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description This research study presents a dynamic discrete optimization model for the treatment of municipal solid waste (MSW) with sustainability as an essential research objective. The optimization model screens capacity selections for MSW technologies over distributed sites with consideration of pretreatment biodrying technologies for waste calorific value enhancement. The choices for these MSW technologies and the network operation are described by binary and continuous variables, respectively. The MSW network economic seeks the maximization of the net present value (NPV). Key environmental impacts of MSW technology use as well as the impacts of MSW transportation are described by a minimization optimization problem. The social target of the MSW network considers the maximization of job creation. When applying the model to a case study, sustainability objective functions showed conflict in the results. Pareto optimal solutions are found from the multi-objective optimization model and a compromised solution is suggested for the considered case study.
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identifier_str_mv Sovacool, B. K., Del Rio, D. F., Herman, K., Iskandarova, M., Uratani, J. M., & Griffiths, S. (2024). Reconfiguring European industry for net-zero: a qualitative review of hydrogen and carbon capture utilization and storage benefits and implementation challenges. In Energy & Environmental Science (Vol. 17, Issue 10, pp. 3523–3569). Royal Society of Chemistry (RSC). https://doi.org/10.1039/d3ee03270a
1754-5706
10.1039/d3ee03270a
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/25720
publishDate 2023
publisher.none.fl_str_mv Royal Society of Chemistry
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
spelling Reconfiguring European industry for net-zero: a qualitative review of hydrogen and carbon capture utilization and storage benefits and implementation challengesSovacool, BenjaminFurszyfer Del Rio, DylanHerman, KyleIskandarova, MarfugaUratani, JoaoGriffiths, StevenSustainabilityMunicipal solid waste supply chain designRenewable energyMixed integer programmingMultiobjective optimizationCyclic economyThis research study presents a dynamic discrete optimization model for the treatment of municipal solid waste (MSW) with sustainability as an essential research objective. The optimization model screens capacity selections for MSW technologies over distributed sites with consideration of pretreatment biodrying technologies for waste calorific value enhancement. The choices for these MSW technologies and the network operation are described by binary and continuous variables, respectively. The MSW network economic seeks the maximization of the net present value (NPV). Key environmental impacts of MSW technology use as well as the impacts of MSW transportation are described by a minimization optimization problem. The social target of the MSW network considers the maximization of job creation. When applying the model to a case study, sustainability objective functions showed conflict in the results. Pareto optimal solutions are found from the multi-objective optimization model and a compromised solution is suggested for the considered case study.Royal Society of Chemistry2024-11-25T10:55:33Z2024-11-25T10:55:33Z2023Published versionPeer-Reviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSovacool, B. K., Del Rio, D. F., Herman, K., Iskandarova, M., Uratani, J. M., & Griffiths, S. (2024). Reconfiguring European industry for net-zero: a qualitative review of hydrogen and carbon capture utilization and storage benefits and implementation challenges. In Energy & Environmental Science (Vol. 17, Issue 10, pp. 3523–3569). Royal Society of Chemistry (RSC). https://doi.org/10.1039/d3ee03270a1754-5706https://hdl.handle.net/11073/2572010.1039/d3ee03270aen_UShttps://doi.org/10.1039/d3ee03270aAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/oai:repository.aus.edu:11073/257202024-11-25T15:07:35Z
spellingShingle Reconfiguring European industry for net-zero: a qualitative review of hydrogen and carbon capture utilization and storage benefits and implementation challenges
Sovacool, Benjamin
Sustainability
Municipal solid waste supply chain design
Renewable energy
Mixed integer programming
Multiobjective optimization
Cyclic economy
status_str publishedVersion
title Reconfiguring European industry for net-zero: a qualitative review of hydrogen and carbon capture utilization and storage benefits and implementation challenges
title_full Reconfiguring European industry for net-zero: a qualitative review of hydrogen and carbon capture utilization and storage benefits and implementation challenges
title_fullStr Reconfiguring European industry for net-zero: a qualitative review of hydrogen and carbon capture utilization and storage benefits and implementation challenges
title_full_unstemmed Reconfiguring European industry for net-zero: a qualitative review of hydrogen and carbon capture utilization and storage benefits and implementation challenges
title_short Reconfiguring European industry for net-zero: a qualitative review of hydrogen and carbon capture utilization and storage benefits and implementation challenges
title_sort Reconfiguring European industry for net-zero: a qualitative review of hydrogen and carbon capture utilization and storage benefits and implementation challenges
topic Sustainability
Municipal solid waste supply chain design
Renewable energy
Mixed integer programming
Multiobjective optimization
Cyclic economy
url https://hdl.handle.net/11073/25720