Digital Twin Based CO2 Pipeline Transportation: A Review

Hang Chen; Yun Ma; Haonan Gu; Yi Chang Li; Xiaoqin Xiong; Zhong Jin; Zhiyang Jia

doi:10.1007/978-981-96-4229-8_10

Digital Twin Based CO₂ Pipeline Transportation: A Review

Hang Chen
, Yun Ma
, Haonan Gu
, Yi Chang Li^*
, Xiaoqin Xiong^*
, Zhong Jin
, Zhiyang Jia

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Carbon Capture, Utilization, and Storage (CCUS) is crucial for future decarbonization, significantly reducing greenhouse gas emissions. CO₂ pipeline transportation, a vital component of CCUS, connects capture sites to storage or utilization locations. Despite its importance, it faces challenges in construction, data analysis, and maintenance. This review highlights the innovative application of digital twin (DT) technology to enhance pipeline construction, data processing, condition monitoring, and maintenance prediction. Future research should aim to standardize the DT framework for CO₂ pipeline transportation, explore advanced data integration and analytics, and extend the DT to more complex pipeline networks, etc., to fully utilize the advantages of the DT and help achieve the green and low-carbon goals.

Original language	English
Title of host publication	Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume II
Editors	Guangqiang Yin, Xiaodong Liu, Jian Su, Yangzhao Yang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	110-121
Number of pages	12
ISBN (Print)	9789819642281
DOIs	https://doi.org/10.1007/978-981-96-4229-8_10
Publication status	Published - 2025
Externally published	Yes
Event	14th International Conference on Computer Engineering and Networks, CENet 2024 - Kashi, China Duration: 18 Oct 2024 → 21 Oct 2024

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1388 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	14th International Conference on Computer Engineering and Networks, CENet 2024
Country/Territory	China
City	Kashi
Period	18/10/24 → 21/10/24

Keywords

CCUS
CO Pipeline transportation
Digital Twin

Access to Document

10.1007/978-981-96-4229-8_10

Cite this

Chen, H., Ma, Y., Gu, H., Li, Y. C., Xiong, X., Jin, Z., & Jia, Z. (2025). Digital Twin Based CO₂ Pipeline Transportation: A Review. In G. Yin, X. Liu, J. Su, & Y. Yang (Eds.), Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume II (pp. 110-121). (Lecture Notes in Electrical Engineering; Vol. 1388 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-96-4229-8_10

Chen, Hang ; Ma, Yun ; Gu, Haonan et al. / Digital Twin Based CO₂ Pipeline Transportation : A Review. Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume II. editor / Guangqiang Yin ; Xiaodong Liu ; Jian Su ; Yangzhao Yang. Springer Science and Business Media Deutschland GmbH, 2025. pp. 110-121 (Lecture Notes in Electrical Engineering).

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title = "Digital Twin Based CO2 Pipeline Transportation: A Review",

abstract = "Carbon Capture, Utilization, and Storage (CCUS) is crucial for future decarbonization, significantly reducing greenhouse gas emissions. CO2 pipeline transportation, a vital component of CCUS, connects capture sites to storage or utilization locations. Despite its importance, it faces challenges in construction, data analysis, and maintenance. This review highlights the innovative application of digital twin (DT) technology to enhance pipeline construction, data processing, condition monitoring, and maintenance prediction. Future research should aim to standardize the DT framework for CO2 pipeline transportation, explore advanced data integration and analytics, and extend the DT to more complex pipeline networks, etc., to fully utilize the advantages of the DT and help achieve the green and low-carbon goals.",

keywords = "CCUS, CO Pipeline transportation, Digital Twin",

author = "Hang Chen and Yun Ma and Haonan Gu and Li, \{Yi Chang\} and Xiaoqin Xiong and Zhong Jin and Zhiyang Jia",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 14th International Conference on Computer Engineering and Networks, CENet 2024 ; Conference date: 18-10-2024 Through 21-10-2024",

year = "2025",

doi = "10.1007/978-981-96-4229-8\_10",

language = "English",

isbn = "9789819642281",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

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editor = "Guangqiang Yin and Xiaodong Liu and Jian Su and Yangzhao Yang",

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}

Chen, H, Ma, Y, Gu, H, Li, YC, Xiong, X, Jin, Z & Jia, Z 2025, Digital Twin Based CO₂ Pipeline Transportation: A Review. in G Yin, X Liu, J Su & Y Yang (eds), Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume II. Lecture Notes in Electrical Engineering, vol. 1388 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 110-121, 14th International Conference on Computer Engineering and Networks, CENet 2024, Kashi, China, 18/10/24. https://doi.org/10.1007/978-981-96-4229-8_10

Digital Twin Based CO₂ Pipeline Transportation: A Review. / Chen, Hang; Ma, Yun; Gu, Haonan et al.
Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume II. ed. / Guangqiang Yin; Xiaodong Liu; Jian Su; Yangzhao Yang. Springer Science and Business Media Deutschland GmbH, 2025. p. 110-121 (Lecture Notes in Electrical Engineering; Vol. 1388 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T2 - 14th International Conference on Computer Engineering and Networks, CENet 2024

AU - Chen, Hang

AU - Ma, Yun

AU - Gu, Haonan

AU - Li, Yi Chang

AU - Xiong, Xiaoqin

AU - Jin, Zhong

AU - Jia, Zhiyang

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

PY - 2025

Y1 - 2025

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AB - Carbon Capture, Utilization, and Storage (CCUS) is crucial for future decarbonization, significantly reducing greenhouse gas emissions. CO2 pipeline transportation, a vital component of CCUS, connects capture sites to storage or utilization locations. Despite its importance, it faces challenges in construction, data analysis, and maintenance. This review highlights the innovative application of digital twin (DT) technology to enhance pipeline construction, data processing, condition monitoring, and maintenance prediction. Future research should aim to standardize the DT framework for CO2 pipeline transportation, explore advanced data integration and analytics, and extend the DT to more complex pipeline networks, etc., to fully utilize the advantages of the DT and help achieve the green and low-carbon goals.

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PB - Springer Science and Business Media Deutschland GmbH

Y2 - 18 October 2024 through 21 October 2024

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Chen H, Ma Y, Gu H, Li YC, Xiong X, Jin Z et al. Digital Twin Based CO₂ Pipeline Transportation: A Review. In Yin G, Liu X, Su J, Yang Y, editors, Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume II. Springer Science and Business Media Deutschland GmbH. 2025. p. 110-121. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-96-4229-8_10