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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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 |
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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 |
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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. |
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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 |
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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 |
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Animo Repository |
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2012 |
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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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