Planning and scheduling of CO2 capture, utilization and storage (CCUS) operations as a strip packing problem

CO2 capture, utilization and storage (CCUS) is an important carbon management strategy that involves capturing CO2 from flue gas, transporting it, utilizing it for economically productive activities (carbon capture and utilization, or CCU), and/or permanently disposing it in non-atmospheric sinks (c...

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Main Authors: Tapia, John Frederick D., Lee, Jui Yuan, Ooi, Raymond E.H., Foo, Dominic C.Y., Tan, Raymond Girard R.
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Published: Animo Repository 2016
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2752
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-37512021-10-29T05:47:05Z Planning and scheduling of CO2 capture, utilization and storage (CCUS) operations as a strip packing problem Tapia, John Frederick D. Lee, Jui Yuan Ooi, Raymond E.H. Foo, Dominic C.Y. Tan, Raymond Girard R. CO2 capture, utilization and storage (CCUS) is an important carbon management strategy that involves capturing CO2 from flue gas, transporting it, utilizing it for economically productive activities (carbon capture and utilization, or CCU), and/or permanently disposing it in non-atmospheric sinks (carbon capture and storage, or CCS). Some technologies, such as enhanced oil recovery (EOR) allow simultaneous CCUS, while other alternatives are either purely CCS (e.g., geological storage) or purely CCU (e.g., use of CO2 as a process plant feedstock). In this work, CCUS is addressed in the context of a large-scale CO2 chain that contains both CCS and CCU options. It is necessary to consider the availability of CO2 sources and sinks to develop a profitable allocation plan for such CCUS systems. Thus, a modeling framework using a geometric representation is proposed to optimize both scheduling and allocation in a CCUS system, given multiple CO2 sources and sinks. Two mixed integer linear programming (MILP) models are developed to address three important factors for planning downstream CCUS operations, i.e., scheduling of CO2 capture and EOR operations, allocation of CO2 supply for EOR operations, and source–sink matching subject to injectivity and capacity constraints. Two case studies are then solved to illustrate the two MILP models. © 2016 Institution of Chemical Engineers 2016-11-01T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2752 info:doi/10.1016/j.psep.2016.09.013 Faculty Research Work Animo Repository Carbon sequestration Carbon dioxide enhanced oil recovery Enhanced oil recovery 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
Carbon dioxide enhanced oil recovery
Enhanced oil recovery
Chemical Engineering
spellingShingle Carbon sequestration
Carbon dioxide enhanced oil recovery
Enhanced oil recovery
Chemical Engineering
Tapia, John Frederick D.
Lee, Jui Yuan
Ooi, Raymond E.H.
Foo, Dominic C.Y.
Tan, Raymond Girard R.
Planning and scheduling of CO2 capture, utilization and storage (CCUS) operations as a strip packing problem
description CO2 capture, utilization and storage (CCUS) is an important carbon management strategy that involves capturing CO2 from flue gas, transporting it, utilizing it for economically productive activities (carbon capture and utilization, or CCU), and/or permanently disposing it in non-atmospheric sinks (carbon capture and storage, or CCS). Some technologies, such as enhanced oil recovery (EOR) allow simultaneous CCUS, while other alternatives are either purely CCS (e.g., geological storage) or purely CCU (e.g., use of CO2 as a process plant feedstock). In this work, CCUS is addressed in the context of a large-scale CO2 chain that contains both CCS and CCU options. It is necessary to consider the availability of CO2 sources and sinks to develop a profitable allocation plan for such CCUS systems. Thus, a modeling framework using a geometric representation is proposed to optimize both scheduling and allocation in a CCUS system, given multiple CO2 sources and sinks. Two mixed integer linear programming (MILP) models are developed to address three important factors for planning downstream CCUS operations, i.e., scheduling of CO2 capture and EOR operations, allocation of CO2 supply for EOR operations, and source–sink matching subject to injectivity and capacity constraints. Two case studies are then solved to illustrate the two MILP models. © 2016 Institution of Chemical Engineers
format text
author Tapia, John Frederick D.
Lee, Jui Yuan
Ooi, Raymond E.H.
Foo, Dominic C.Y.
Tan, Raymond Girard R.
author_facet Tapia, John Frederick D.
Lee, Jui Yuan
Ooi, Raymond E.H.
Foo, Dominic C.Y.
Tan, Raymond Girard R.
author_sort Tapia, John Frederick D.
title Planning and scheduling of CO2 capture, utilization and storage (CCUS) operations as a strip packing problem
title_short Planning and scheduling of CO2 capture, utilization and storage (CCUS) operations as a strip packing problem
title_full Planning and scheduling of CO2 capture, utilization and storage (CCUS) operations as a strip packing problem
title_fullStr Planning and scheduling of CO2 capture, utilization and storage (CCUS) operations as a strip packing problem
title_full_unstemmed Planning and scheduling of CO2 capture, utilization and storage (CCUS) operations as a strip packing problem
title_sort planning and scheduling of co2 capture, utilization and storage (ccus) operations as a strip packing problem
publisher Animo Repository
publishDate 2016
url https://animorepository.dlsu.edu.ph/faculty_research/2752
_version_ 1775631182644379648