Original Article

Econ. Environ. Geol. 2017; 50(5): 363-373

Published online October 31, 2017

https://doi.org/10.9719/EEG.2017.50.5.363

© THE KOREAN SOCIETY OF ECONOMIC AND ENVIRONMENTAL GEOLOGY

Application of Cyber Physical System (CPS) for Risk Management of a CO2 Storage Site

Jina Jeong1, Eungyu Park2*, Seong-Chun Jun3, Hyun-Jun Kim4,5 and Seong-Taek Yun6

1Korea Institute of Geoscience and Mineral Resources, Daejon, Republic of Korea
2Department of Geology, Kyungpook National University, Daegu, Republic of Korea
3Geogreen 21, Inc., Seoul, Republic of Korea
4BK21 Plus Eco-Leader Education Center, Korea University, Seoul, Republic of Korea
5Department of Environmental Science & Ecological Engineering, Korea University, Seoul, Republic of Korea
6Earth and Environmental Sciences, Korea University, Seoul, Republic of Korea

Correspondence to : egpark@knu.ac.kr

Received: October 9, 2017; Accepted: October 23, 2017

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided original work is properly cited.

Abstract

In the present study, adaptability of cyber-physical system (CPS) for risk management of CO2 storage site is examined and the subagging regression (SBR) method is proposed as a key component of the cyber-twin to estimate the risk due to potential CO2 leakage. For these purposes, CO2 concentration data monitored from a controlled CO2 release field experiment is employed to validate the potentialities of the SBR method. From the validation study, it is found that the SBR method has robust estimation capability by showing minimal influence from anomalous measurements, and makes stable and sound predictions for the forthcoming CO2 concentration trend. In addition, the method is found to be well suited as a tool of operational risk assessment based on real-time monitoring data due to the computational efficiency. The overall results suggest that the SBR method has potential to be an important component comprising the cyber twin of CPS for risk management of CO2 storage site.

Keywords Cyber-Physical System (CPS), CO2 storage site, Risk management, cyber-twin, Subagging regression method

이산화탄소 저장부지 위해성 관리를 위한 가상물리시스템 적용성 평가

정진아1 ·박은규2* ·전성천3 ·김현준4,5 ·윤성택6

1한국지질자원연구원 Geo-ICT융합기술팀, 2경북대학교 지구환경시스템과학부, 3(주) 지오그린21, 4고려대학교 BK21 플러스 에코리더양성사업단, 5고려대학교 환경생태공학부, 6고려대학교 지구환경과학과

요 약

Article

Original Article

Econ. Environ. Geol. 2017; 50(5): 363-373

Published online October 31, 2017 https://doi.org/10.9719/EEG.2017.50.5.363

Copyright © THE KOREAN SOCIETY OF ECONOMIC AND ENVIRONMENTAL GEOLOGY.

Application of Cyber Physical System (CPS) for Risk Management of a CO2 Storage Site

Jina Jeong1, Eungyu Park2*, Seong-Chun Jun3, Hyun-Jun Kim4,5 and Seong-Taek Yun6

1Korea Institute of Geoscience and Mineral Resources, Daejon, Republic of Korea
2Department of Geology, Kyungpook National University, Daegu, Republic of Korea
3Geogreen 21, Inc., Seoul, Republic of Korea
4BK21 Plus Eco-Leader Education Center, Korea University, Seoul, Republic of Korea
5Department of Environmental Science & Ecological Engineering, Korea University, Seoul, Republic of Korea
6Earth and Environmental Sciences, Korea University, Seoul, Republic of Korea

Correspondence to:egpark@knu.ac.kr

Received: October 9, 2017; Accepted: October 23, 2017

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided original work is properly cited.

Abstract

In the present study, adaptability of cyber-physical system (CPS) for risk management of CO2 storage site is examined and the subagging regression (SBR) method is proposed as a key component of the cyber-twin to estimate the risk due to potential CO2 leakage. For these purposes, CO2 concentration data monitored from a controlled CO2 release field experiment is employed to validate the potentialities of the SBR method. From the validation study, it is found that the SBR method has robust estimation capability by showing minimal influence from anomalous measurements, and makes stable and sound predictions for the forthcoming CO2 concentration trend. In addition, the method is found to be well suited as a tool of operational risk assessment based on real-time monitoring data due to the computational efficiency. The overall results suggest that the SBR method has potential to be an important component comprising the cyber twin of CPS for risk management of CO2 storage site.

Keywords Cyber-Physical System (CPS), CO2 storage site, Risk management, cyber-twin, Subagging regression method

이산화탄소 저장부지 위해성 관리를 위한 가상물리시스템 적용성 평가

정진아1 ·박은규2* ·전성천3 ·김현준4,5 ·윤성택6

1한국지질자원연구원 Geo-ICT융합기술팀, 2경북대학교 지구환경시스템과학부, 3(주) 지오그린21, 4고려대학교 BK21 플러스 에코리더양성사업단, 5고려대학교 환경생태공학부, 6고려대학교 지구환경과학과

Received: October 9, 2017; Accepted: October 23, 2017

요 약

    KSEEG
    Apr 30, 2024 Vol.57 No.2, pp. 107~280

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