A graphical approach for pinch-based source-sink matching and sensitivity analysis in carbon capture and storage systems

Carbon capture and storage (CCS) is regarded as an important interim technology for the reduction of carbon dioxide (CO2) emissions from large industrial facilities such as power plants and refineries. CCS involves capture of concentrated CO2 streams from point sources (industrial flue gases), follo...

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Main Authors: Diamante, Joseph Angelo R., Tan, Raymond Girard R., Foo, Dominic C. Y., Ng, Denny K.S., Aviso, Kathleen B., Bandyopadhyay, Santanu
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Published: Animo Repository 2013
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3647
https://animorepository.dlsu.edu.ph/context/faculty_research/article/4649/type/native/viewcontent/ie302481h.html
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-46492022-06-21T05:40:49Z A graphical approach for pinch-based source-sink matching and sensitivity analysis in carbon capture and storage systems Diamante, Joseph Angelo R. Tan, Raymond Girard R. 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 (CO2) emissions from large industrial facilities such as power plants and refineries. CCS involves capture of concentrated CO2 streams from point sources (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 CO2 storage capacity and injection rate, subject to geological characteristics. In this work, a graphical approach is proposed for matching multiple CO2 sources and storage sites (sinks) optimally within a predefined geographical region. The technique is developed on the basis of analogies with existing graphical pinch analysis approaches for the synthesis of industrial resource conservation networks (RCNs). Generalized principles for optimal CO2 source-sink matching based on pinch analysis insights are discussed in this work. In addition, sensitivity of the system to the uncertainties that occur in CCS planning (e.g., variation of actual injectivity and capacity as well as options for increase or decrease of source lifetime) is considered. Realistic case studies are shown to illustrate these various aspects of the methodology. © 2012 American Chemical Society. © 2013 American Chemical Society. 2013-06-05T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/3647 info:doi/10.1021/ie302481h https://animorepository.dlsu.edu.ph/context/faculty_research/article/4649/type/native/viewcontent/ie302481h.html Faculty Research Work Animo Repository Carbon sequestration Sinks (Atmospheric chemistry) 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
Sinks (Atmospheric chemistry)
Chemical Engineering
spellingShingle Carbon sequestration
Sinks (Atmospheric chemistry)
Chemical Engineering
Diamante, Joseph Angelo R.
Tan, Raymond Girard R.
Foo, Dominic C. Y.
Ng, Denny K.S.
Aviso, Kathleen B.
Bandyopadhyay, Santanu
A graphical approach for pinch-based source-sink matching and sensitivity analysis in carbon capture and storage systems
description Carbon capture and storage (CCS) is regarded as an important interim technology for the reduction of carbon dioxide (CO2) emissions from large industrial facilities such as power plants and refineries. CCS involves capture of concentrated CO2 streams from point sources (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 CO2 storage capacity and injection rate, subject to geological characteristics. In this work, a graphical approach is proposed for matching multiple CO2 sources and storage sites (sinks) optimally within a predefined geographical region. The technique is developed on the basis of analogies with existing graphical pinch analysis approaches for the synthesis of industrial resource conservation networks (RCNs). Generalized principles for optimal CO2 source-sink matching based on pinch analysis insights are discussed in this work. In addition, sensitivity of the system to the uncertainties that occur in CCS planning (e.g., variation of actual injectivity and capacity as well as options for increase or decrease of source lifetime) is considered. Realistic case studies are shown to illustrate these various aspects of the methodology. © 2012 American Chemical Society. © 2013 American Chemical Society.
format text
author Diamante, Joseph Angelo R.
Tan, Raymond Girard R.
Foo, Dominic C. Y.
Ng, Denny K.S.
Aviso, Kathleen B.
Bandyopadhyay, Santanu
author_facet Diamante, Joseph Angelo R.
Tan, Raymond Girard R.
Foo, Dominic C. Y.
Ng, Denny K.S.
Aviso, Kathleen B.
Bandyopadhyay, Santanu
author_sort Diamante, Joseph Angelo R.
title A graphical approach for pinch-based source-sink matching and sensitivity analysis in carbon capture and storage systems
title_short A graphical approach for pinch-based source-sink matching and sensitivity analysis in carbon capture and storage systems
title_full A graphical approach for pinch-based source-sink matching and sensitivity analysis in carbon capture and storage systems
title_fullStr A graphical approach for pinch-based source-sink matching and sensitivity analysis in carbon capture and storage systems
title_full_unstemmed A graphical approach for pinch-based source-sink matching and sensitivity analysis in carbon capture and storage systems
title_sort graphical approach for pinch-based source-sink matching and sensitivity analysis in carbon capture and storage systems
publisher Animo Repository
publishDate 2013
url https://animorepository.dlsu.edu.ph/faculty_research/3647
https://animorepository.dlsu.edu.ph/context/faculty_research/article/4649/type/native/viewcontent/ie302481h.html
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