Phase-based design of CO2 capture, transport, and storage infrastructure via SimCCS 3.0
Abstract The design of optimal infrastructure is essential for the deployment of commercial and large-scale carbon capture and storage (CCS) technology. During the design process, it is important to consider CO2 capture and storage locations and CO2 transportation pipelines to minimize the total pro...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-33512-5 |
| _version_ | 1797841077937373184 |
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| author | Zhiwei Ma Bailian Chen Rajesh J. Pawar |
| author_facet | Zhiwei Ma Bailian Chen Rajesh J. Pawar |
| author_sort | Zhiwei Ma |
| collection | DOAJ |
| description | Abstract The design of optimal infrastructure is essential for the deployment of commercial and large-scale carbon capture and storage (CCS) technology. During the design process, it is important to consider CO2 capture and storage locations and CO2 transportation pipelines to minimize the total project cost. SimCCS, first introduced in 2009, is an integrated open-source tool to optimize CCS infrastructure. The core CCS infrastructure design problem in SimCCS is structured as a mixed-integer linear programming problem by selecting the optimal pipeline routes, searching CO2 source capture and storage locations, and determining the corresponding CO2 amounts to meet desired capture targets. Multiple important and practical features have been developed to the latest version of SimCCS, SimCCS 3.0 . One of these features is phase-based modeling which enables users to dynamically design the CCS infrastructure. We demonstrate the phased-based modeling capability using two CCS infrastructure optimization case studies. The results from these case studies reveal that the phase-based modeling capability in SimCCS is particularly useful to optimize the dynamic deployment of CCS projects. |
| first_indexed | 2024-04-09T16:25:12Z |
| format | Article |
| id | doaj.art-707c45040a74402591746ed834847cc7 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-09T16:25:12Z |
| publishDate | 2023-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-707c45040a74402591746ed834847cc72023-04-23T11:15:55ZengNature PortfolioScientific Reports2045-23222023-04-0113111610.1038/s41598-023-33512-5Phase-based design of CO2 capture, transport, and storage infrastructure via SimCCS 3.0Zhiwei Ma0Bailian Chen1Rajesh J. Pawar2Earth and Environmental Sciences Division, Los Alamos National LaboratoryEarth and Environmental Sciences Division, Los Alamos National LaboratoryEarth and Environmental Sciences Division, Los Alamos National LaboratoryAbstract The design of optimal infrastructure is essential for the deployment of commercial and large-scale carbon capture and storage (CCS) technology. During the design process, it is important to consider CO2 capture and storage locations and CO2 transportation pipelines to minimize the total project cost. SimCCS, first introduced in 2009, is an integrated open-source tool to optimize CCS infrastructure. The core CCS infrastructure design problem in SimCCS is structured as a mixed-integer linear programming problem by selecting the optimal pipeline routes, searching CO2 source capture and storage locations, and determining the corresponding CO2 amounts to meet desired capture targets. Multiple important and practical features have been developed to the latest version of SimCCS, SimCCS 3.0 . One of these features is phase-based modeling which enables users to dynamically design the CCS infrastructure. We demonstrate the phased-based modeling capability using two CCS infrastructure optimization case studies. The results from these case studies reveal that the phase-based modeling capability in SimCCS is particularly useful to optimize the dynamic deployment of CCS projects.https://doi.org/10.1038/s41598-023-33512-5 |
| spellingShingle | Zhiwei Ma Bailian Chen Rajesh J. Pawar Phase-based design of CO2 capture, transport, and storage infrastructure via SimCCS 3.0 Scientific Reports |
| title | Phase-based design of CO2 capture, transport, and storage infrastructure via SimCCS 3.0 |
| title_full | Phase-based design of CO2 capture, transport, and storage infrastructure via SimCCS 3.0 |
| title_fullStr | Phase-based design of CO2 capture, transport, and storage infrastructure via SimCCS 3.0 |
| title_full_unstemmed | Phase-based design of CO2 capture, transport, and storage infrastructure via SimCCS 3.0 |
| title_short | Phase-based design of CO2 capture, transport, and storage infrastructure via SimCCS 3.0 |
| title_sort | phase based design of co2 capture transport and storage infrastructure via simccs 3 0 |
| url | https://doi.org/10.1038/s41598-023-33512-5 |
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