A graphical approach to optimal source-sink matching in carbon capture and storage systems with reservoir capacity and injection rate constraints

Carbon capture and storage (CCS) is regarded as an important interim technology for the reduction of carbon dioxide (CO 2 ) emissions from large industrial facilities such as power plants and refineries. CCS involves capture of concentrated CO 2 streams from industrial flue gases, followed by subseq...

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Main Authors: Tan, Raymond Girard R., Ooi, Raymond, Foo, Dominic C. Y., Ng, Denny K.S., Aviso, Kathleen B., Bandyopadhyay, Santanu
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Published: Animo Repository 2012
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2478
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3477/type/native/viewcontent
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-34772022-06-22T02:39:07Z A graphical approach to optimal source-sink matching in carbon capture and storage systems with reservoir capacity and injection rate constraints Tan, Raymond Girard R. Ooi, Raymond Foo, Dominic C. Y. Ng, Denny K.S. Aviso, Kathleen B. Bandyopadhyay, Santanu Carbon capture and storage (CCS) is regarded as an important interim technology for the reduction of carbon dioxide (CO 2 ) emissions from large industrial facilities such as power plants and refineries. CCS involves capture of concentrated CO 2 streams from industrial flue gases, followed by subsequent secure storage in an appropriate natural reservoir. Such reservoirs include various geological formations such as depleted oil or gas wells, inaccessible coal seams and saline aquifers. In practice, such storage sites will have limitations on both CO 2 storage capacity and injection rate, subject to geological characteristics. In this work, a graphical methodology is proposed for optimally matching multiple CO 2 sources and storage sites or sinks within a predefined geographical region. The technique is developed based on analogies with existing graphical pinch analysis approaches for the synthesis of industrial resource conservation networks. A hypothetical case study is shown to illustrate the methodology. In addition, generalized principles for optimal CO 2 source-sink matching based on pinch analysis insights are discussed. © 2012 Elsevier B.V. 2012-01-01T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/2478 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3477/type/native/viewcontent Faculty Research Work Animo Repository Carbon sequestration Chemical Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Carbon sequestration
Chemical Engineering
spellingShingle Carbon sequestration
Chemical Engineering
Tan, Raymond Girard R.
Ooi, Raymond
Foo, Dominic C. Y.
Ng, Denny K.S.
Aviso, Kathleen B.
Bandyopadhyay, Santanu
A graphical approach to optimal source-sink matching in carbon capture and storage systems with reservoir capacity and injection rate constraints
description Carbon capture and storage (CCS) is regarded as an important interim technology for the reduction of carbon dioxide (CO 2 ) emissions from large industrial facilities such as power plants and refineries. CCS involves capture of concentrated CO 2 streams from industrial flue gases, followed by subsequent secure storage in an appropriate natural reservoir. Such reservoirs include various geological formations such as depleted oil or gas wells, inaccessible coal seams and saline aquifers. In practice, such storage sites will have limitations on both CO 2 storage capacity and injection rate, subject to geological characteristics. In this work, a graphical methodology is proposed for optimally matching multiple CO 2 sources and storage sites or sinks within a predefined geographical region. The technique is developed based on analogies with existing graphical pinch analysis approaches for the synthesis of industrial resource conservation networks. A hypothetical case study is shown to illustrate the methodology. In addition, generalized principles for optimal CO 2 source-sink matching based on pinch analysis insights are discussed. © 2012 Elsevier B.V.
format text
author Tan, Raymond Girard R.
Ooi, Raymond
Foo, Dominic C. Y.
Ng, Denny K.S.
Aviso, Kathleen B.
Bandyopadhyay, Santanu
author_facet Tan, Raymond Girard R.
Ooi, Raymond
Foo, Dominic C. Y.
Ng, Denny K.S.
Aviso, Kathleen B.
Bandyopadhyay, Santanu
author_sort Tan, Raymond Girard R.
title A graphical approach to optimal source-sink matching in carbon capture and storage systems with reservoir capacity and injection rate constraints
title_short A graphical approach to optimal source-sink matching in carbon capture and storage systems with reservoir capacity and injection rate constraints
title_full A graphical approach to optimal source-sink matching in carbon capture and storage systems with reservoir capacity and injection rate constraints
title_fullStr A graphical approach to optimal source-sink matching in carbon capture and storage systems with reservoir capacity and injection rate constraints
title_full_unstemmed A graphical approach to optimal source-sink matching in carbon capture and storage systems with reservoir capacity and injection rate constraints
title_sort graphical approach to optimal source-sink matching in carbon capture and storage systems with reservoir capacity and injection rate constraints
publisher Animo Repository
publishDate 2012
url https://animorepository.dlsu.edu.ph/faculty_research/2478
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3477/type/native/viewcontent
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