Planning of carbon capture storage deployment using process graph approach
Carbon capture and storage (CCS) is an emerging technology to mitigate carbon dioxide (CO2) emissions from industrial sources such as power plants. However, retrofitting a power plant for carbon capture causes an increase in unit power cost due to parasitic power losses as well as capital outlays fo...
Saved in:
Main Authors: | , , , , , , |
---|---|
Format: | text |
Published: |
Animo Repository
2014
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/3411 https://animorepository.dlsu.edu.ph/context/faculty_research/article/4413/type/native/viewcontent/j.energy.2014.08.060 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
id |
oai:animorepository.dlsu.edu.ph:faculty_research-4413 |
---|---|
record_format |
eprints |
spelling |
oai:animorepository.dlsu.edu.ph:faculty_research-44132022-08-15T09:43:07Z Planning of carbon capture storage deployment using process graph approach Chong, Fah Keen Lawrence, Kelvin Kuhanraj Lim, Pek Peng Poon, Marcus Chinn Yoong Foo, Dominic Chwan Yee Lam, Hon Loong Tan, Raymond Girard R. Carbon capture and storage (CCS) is an emerging technology to mitigate carbon dioxide (CO2) emissions from industrial sources such as power plants. However, retrofitting a power plant for carbon capture causes an increase in unit power cost due to parasitic power losses as well as capital outlays for additional process equipment. Mathematical optimisation and pinch analysis techniques have been used to systematically plan for the retrofit of power plants. In this work, the planning of power plants retrofit along with CO2 source-sink matching is analysed using process graph (P-graph) optimisation technique. CO2 sources are assumed to be characterised by fixed flowrates and operating lives; while CO2 sinks are characterised by storage capacity limits and earliest time of availability. Illustrative case studies are solved to demonstrate the approach. © 2014. 2014-11-01T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/3411 info:doi/10.1016/j.energy.2014.08.060 https://animorepository.dlsu.edu.ph/context/faculty_research/article/4413/type/native/viewcontent/j.energy.2014.08.060 Faculty Research Work Animo Repository Carbon sequestration Carbon dioxide mitigation Greenhouse gas mitigation Power-plants—Remodeling for other use 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 mitigation Greenhouse gas mitigation Power-plants—Remodeling for other use Chemical Engineering |
spellingShingle |
Carbon sequestration Carbon dioxide mitigation Greenhouse gas mitigation Power-plants—Remodeling for other use Chemical Engineering Chong, Fah Keen Lawrence, Kelvin Kuhanraj Lim, Pek Peng Poon, Marcus Chinn Yoong Foo, Dominic Chwan Yee Lam, Hon Loong Tan, Raymond Girard R. Planning of carbon capture storage deployment using process graph approach |
description |
Carbon capture and storage (CCS) is an emerging technology to mitigate carbon dioxide (CO2) emissions from industrial sources such as power plants. However, retrofitting a power plant for carbon capture causes an increase in unit power cost due to parasitic power losses as well as capital outlays for additional process equipment. Mathematical optimisation and pinch analysis techniques have been used to systematically plan for the retrofit of power plants. In this work, the planning of power plants retrofit along with CO2 source-sink matching is analysed using process graph (P-graph) optimisation technique. CO2 sources are assumed to be characterised by fixed flowrates and operating lives; while CO2 sinks are characterised by storage capacity limits and earliest time of availability. Illustrative case studies are solved to demonstrate the approach. © 2014. |
format |
text |
author |
Chong, Fah Keen Lawrence, Kelvin Kuhanraj Lim, Pek Peng Poon, Marcus Chinn Yoong Foo, Dominic Chwan Yee Lam, Hon Loong Tan, Raymond Girard R. |
author_facet |
Chong, Fah Keen Lawrence, Kelvin Kuhanraj Lim, Pek Peng Poon, Marcus Chinn Yoong Foo, Dominic Chwan Yee Lam, Hon Loong Tan, Raymond Girard R. |
author_sort |
Chong, Fah Keen |
title |
Planning of carbon capture storage deployment using process graph approach |
title_short |
Planning of carbon capture storage deployment using process graph approach |
title_full |
Planning of carbon capture storage deployment using process graph approach |
title_fullStr |
Planning of carbon capture storage deployment using process graph approach |
title_full_unstemmed |
Planning of carbon capture storage deployment using process graph approach |
title_sort |
planning of carbon capture storage deployment using process graph approach |
publisher |
Animo Repository |
publishDate |
2014 |
url |
https://animorepository.dlsu.edu.ph/faculty_research/3411 https://animorepository.dlsu.edu.ph/context/faculty_research/article/4413/type/native/viewcontent/j.energy.2014.08.060 |
_version_ |
1767195900483993600 |