Techno-economic-based dynamic network design for optimum large-scale carbon dioxide utilisation in process industries

<p dir="ltr">Carbon capture and utilisation programs strive to efficiently utilise the captured carbon dioxide to produce value-added products. In view of this, the authors present a novel methodology to enable responsive carbon capture and utilisation through a fixed network design....

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ali Attiq Al-Yaeeshi (17092954) (author)
مؤلفون آخرون: Rajesh Govindan (15468857) (author), Tareq Al-Ansari (9872268) (author)
منشور في: 2020
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author Ali Attiq Al-Yaeeshi (17092954)
author2 Rajesh Govindan (15468857)
Tareq Al-Ansari (9872268)
author2_role author
author
author_facet Ali Attiq Al-Yaeeshi (17092954)
Rajesh Govindan (15468857)
Tareq Al-Ansari (9872268)
author_role author
dc.creator.none.fl_str_mv Ali Attiq Al-Yaeeshi (17092954)
Rajesh Govindan (15468857)
Tareq Al-Ansari (9872268)
dc.date.none.fl_str_mv 2020-12-01T00:00:00Z
dc.identifier.none.fl_str_mv 10.1016/j.jclepro.2020.122974
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Techno-economic-based_dynamic_network_design_for_optimum_large-scale_carbon_dioxide_utilisation_in_process_industries/24242521
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Economics
Applied economics
Engineering
Chemical engineering
Environmental engineering
CO2 utilisation
Network optimisation
Methanol
Urea
GTL
dc.title.none.fl_str_mv Techno-economic-based dynamic network design for optimum large-scale carbon dioxide utilisation in process industries
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">Carbon capture and utilisation programs strive to efficiently utilise the captured carbon dioxide to produce value-added products. In view of this, the authors present a novel methodology to enable responsive carbon capture and utilisation through a fixed network design. This is based on optimal decision-making for planning the supply and consumption of carbon dioxide via a pipeline network to produce chemical additives and liquid fuel products, with the added benefit of enhancing the revenue streams of the consumers. The methodology was demonstrated through the identification, optimisation and techno-economic assessment of the linkages between carbon dioxide sources (emitters) and sinks (consumers) on a national scale for a case study in Qatar. The techno-economic indicators, such as net present value (NPV), internal rate of return (IRR) and profit-to-investment ratio (PIR), are implemented to evaluate the allocation solutions obtained by solving a multi-period optimisation problem considering different capital and operating expenditure scenarios in the network. For this purpose, historical datasets for market prices of urea, methanol, and liquid fuels, such as gasoline, diesel, and wax between the years 2005–2018 are also utilised. The outcomes of the scenarios considered, demonstrate that the optimal output for carbon dioxide utilisation ranges from 1.62 Mt/y to 6 Mt/y, which corresponds to a potential annual revenue ranging from 0.48 to 4.35 billion US dollars. Based on the solutions obtained in the Qatar case study, the maximum carbon dioxide utilisation occurs at the Pearl gas-to-liquids plant (up to 16%), whereas the major revenue is generated from the Methanol-Hydrogen plant, contributing as much as 59% of the total revenue in the proposed fixed network design.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Cleaner Production<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.jclepro.2020.122974" target="_blank">https://dx.doi.org/10.1016/j.jclepro.2020.122974</a></p>
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identifier_str_mv 10.1016/j.jclepro.2020.122974
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oai_identifier_str oai:figshare.com:article/24242521
publishDate 2020
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spelling Techno-economic-based dynamic network design for optimum large-scale carbon dioxide utilisation in process industriesAli Attiq Al-Yaeeshi (17092954)Rajesh Govindan (15468857)Tareq Al-Ansari (9872268)EconomicsApplied economicsEngineeringChemical engineeringEnvironmental engineeringCO2 utilisationNetwork optimisationMethanolUreaGTL<p dir="ltr">Carbon capture and utilisation programs strive to efficiently utilise the captured carbon dioxide to produce value-added products. In view of this, the authors present a novel methodology to enable responsive carbon capture and utilisation through a fixed network design. This is based on optimal decision-making for planning the supply and consumption of carbon dioxide via a pipeline network to produce chemical additives and liquid fuel products, with the added benefit of enhancing the revenue streams of the consumers. The methodology was demonstrated through the identification, optimisation and techno-economic assessment of the linkages between carbon dioxide sources (emitters) and sinks (consumers) on a national scale for a case study in Qatar. The techno-economic indicators, such as net present value (NPV), internal rate of return (IRR) and profit-to-investment ratio (PIR), are implemented to evaluate the allocation solutions obtained by solving a multi-period optimisation problem considering different capital and operating expenditure scenarios in the network. For this purpose, historical datasets for market prices of urea, methanol, and liquid fuels, such as gasoline, diesel, and wax between the years 2005–2018 are also utilised. The outcomes of the scenarios considered, demonstrate that the optimal output for carbon dioxide utilisation ranges from 1.62 Mt/y to 6 Mt/y, which corresponds to a potential annual revenue ranging from 0.48 to 4.35 billion US dollars. Based on the solutions obtained in the Qatar case study, the maximum carbon dioxide utilisation occurs at the Pearl gas-to-liquids plant (up to 16%), whereas the major revenue is generated from the Methanol-Hydrogen plant, contributing as much as 59% of the total revenue in the proposed fixed network design.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Cleaner Production<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.jclepro.2020.122974" target="_blank">https://dx.doi.org/10.1016/j.jclepro.2020.122974</a></p>2020-12-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.jclepro.2020.122974https://figshare.com/articles/journal_contribution/Techno-economic-based_dynamic_network_design_for_optimum_large-scale_carbon_dioxide_utilisation_in_process_industries/24242521CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/242425212020-12-01T00:00:00Z
spellingShingle Techno-economic-based dynamic network design for optimum large-scale carbon dioxide utilisation in process industries
Ali Attiq Al-Yaeeshi (17092954)
Economics
Applied economics
Engineering
Chemical engineering
Environmental engineering
CO2 utilisation
Network optimisation
Methanol
Urea
GTL
status_str publishedVersion
title Techno-economic-based dynamic network design for optimum large-scale carbon dioxide utilisation in process industries
title_full Techno-economic-based dynamic network design for optimum large-scale carbon dioxide utilisation in process industries
title_fullStr Techno-economic-based dynamic network design for optimum large-scale carbon dioxide utilisation in process industries
title_full_unstemmed Techno-economic-based dynamic network design for optimum large-scale carbon dioxide utilisation in process industries
title_short Techno-economic-based dynamic network design for optimum large-scale carbon dioxide utilisation in process industries
title_sort Techno-economic-based dynamic network design for optimum large-scale carbon dioxide utilisation in process industries
topic Economics
Applied economics
Engineering
Chemical engineering
Environmental engineering
CO2 utilisation
Network optimisation
Methanol
Urea
GTL