Targeting for optimal grid-wide deployment of carbon capture and storage (CCS) technology

Carbon capture and storage (CCS) techniques are considered as one of the promising approaches to reduce carbon dioxide (CO2) emissions from fossil fuel based power generation, which still accounts for a significant portion of greenhouse gas emissions in the world. CCS technology can be used to mitig...

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Main Authors: Sahu, Gopal Chandra, Bandyopadhyay, Santanu, Foo, Dominic C. Y., Ng, Denny K.S., Tan, Raymond Girard R.
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Published: Animo Repository 2014
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2466
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3465/type/native/viewcontent
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-34652022-06-22T02:26:43Z Targeting for optimal grid-wide deployment of carbon capture and storage (CCS) technology Sahu, Gopal Chandra Bandyopadhyay, Santanu Foo, Dominic C. Y. Ng, Denny K.S. Tan, Raymond Girard R. Carbon capture and storage (CCS) techniques are considered as one of the promising approaches to reduce carbon dioxide (CO2) emissions from fossil fuel based power generation, which still accounts for a significant portion of greenhouse gas emissions in the world. CCS technology can be used to mitigate greenhouse gas emissions, with the additional advantage that it allows continuing use reliable and inexpensive fossil fuels. However, CCS retrofit entails major capital costs as well as a reduction of overall thermal efficiency and power output. Thus, it is essential for planning purposes to implement the minimal extent of CCS retrofit while meeting the specified carbon emission limits for the power sector. At the same time, it is necessary to plan for compensatory power generation capacity to offset energy losses resulting from CCS retrofit. In this paper, an algebraic targeting technique is presented for planning of grid-wide CCS retrofits in the power generation sector with compensatory power. The targeting technique is developed based on pinch analysis. In addition, the proposed methodologies are illustrated through case studies based on grid data in India and the Philippines. Sensitivity analysis is carried out to determine the suitable CCS technology and compensatory power source which satisfy emission limits. © 2013 The Institution of Chemical Engineers. 2014-11-01T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/2466 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3465/type/native/viewcontent Faculty Research Work Animo Repository Carbon sequestration Greenhouse gas mitigation Energy development—Environmental aspects 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
Greenhouse gas mitigation
Energy development—Environmental aspects
Chemical Engineering
spellingShingle Carbon sequestration
Greenhouse gas mitigation
Energy development—Environmental aspects
Chemical Engineering
Sahu, Gopal Chandra
Bandyopadhyay, Santanu
Foo, Dominic C. Y.
Ng, Denny K.S.
Tan, Raymond Girard R.
Targeting for optimal grid-wide deployment of carbon capture and storage (CCS) technology
description Carbon capture and storage (CCS) techniques are considered as one of the promising approaches to reduce carbon dioxide (CO2) emissions from fossil fuel based power generation, which still accounts for a significant portion of greenhouse gas emissions in the world. CCS technology can be used to mitigate greenhouse gas emissions, with the additional advantage that it allows continuing use reliable and inexpensive fossil fuels. However, CCS retrofit entails major capital costs as well as a reduction of overall thermal efficiency and power output. Thus, it is essential for planning purposes to implement the minimal extent of CCS retrofit while meeting the specified carbon emission limits for the power sector. At the same time, it is necessary to plan for compensatory power generation capacity to offset energy losses resulting from CCS retrofit. In this paper, an algebraic targeting technique is presented for planning of grid-wide CCS retrofits in the power generation sector with compensatory power. The targeting technique is developed based on pinch analysis. In addition, the proposed methodologies are illustrated through case studies based on grid data in India and the Philippines. Sensitivity analysis is carried out to determine the suitable CCS technology and compensatory power source which satisfy emission limits. © 2013 The Institution of Chemical Engineers.
format text
author Sahu, Gopal Chandra
Bandyopadhyay, Santanu
Foo, Dominic C. Y.
Ng, Denny K.S.
Tan, Raymond Girard R.
author_facet Sahu, Gopal Chandra
Bandyopadhyay, Santanu
Foo, Dominic C. Y.
Ng, Denny K.S.
Tan, Raymond Girard R.
author_sort Sahu, Gopal Chandra
title Targeting for optimal grid-wide deployment of carbon capture and storage (CCS) technology
title_short Targeting for optimal grid-wide deployment of carbon capture and storage (CCS) technology
title_full Targeting for optimal grid-wide deployment of carbon capture and storage (CCS) technology
title_fullStr Targeting for optimal grid-wide deployment of carbon capture and storage (CCS) technology
title_full_unstemmed Targeting for optimal grid-wide deployment of carbon capture and storage (CCS) technology
title_sort targeting for optimal grid-wide deployment of carbon capture and storage (ccs) technology
publisher Animo Repository
publishDate 2014
url https://animorepository.dlsu.edu.ph/faculty_research/2466
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3465/type/native/viewcontent
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