The Global Knowledge Evolution of Carbon Capture, Utilization, and Storage Technology: A Network Analysis of Patent Mining

Carbon capture, utilization, and storage (CCUS) is crucial for mitigating CO2 emissions. Exploring the evolution of CCUS technology can help accelerate the development of CCUS technology. This study aims to reveal the connections and interactions between technology topics, clarify the evolutionary path of CCUS technology, and understand the deep mechanism of technology evolution. To achieve these goals, this paper adopts an integrated approach to analyze the evolution process of CCUS technology by combining patent mining and knowledge evolution theory. First, the BERT-LDA model is used for fine-grained extraction of technology topics from CCUS patents; second, an evolution network depicting the topics' evolution path is constructed based on their temporal correlations; finally, knowledge evolution theory is used to explain the characteristics of topic evolution and analyze potential technological opportunities. The results indicate CCUS technology has gone through five major development periods with gradually enriched and deepened topics; newborn, inheritance and temporary emergence are common topic evolution relationships in the evolution network; the evolution of these topics shows stability, heritability and variability. These findings not only help enterprises to grasp the development trend and potential opportunities of CCUS technology, but also provide policy makers with a basis for decision-making.

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Publication Details

Journal
IEEE Transactions on Engineering Management
Published
2025-01-01
DOI
https://doi.org/10.1109/tem.2025.3575304
Citations
2
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
0.73

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article

The Global Knowledge Evolution of Carbon Capture, Utilization, and Storage Technology: A Network Analysis of Patent Mining

Kexin Bi, Weiwei Liu, Jingyi Yao
2 citations
IEEE Transactions on Engineering Management
CO2 Reduction Techniques and Catalysts
0.73
article

The Global Knowledge Evolution of Carbon Capture, Utilization, and Storage Technology: A Network Analysis of Patent Mining

Kexin Bi, Weiwei Liu, Jingyi Yao
article en
2 citations

Abstract

Carbon capture, utilization, and storage (CCUS) is crucial for mitigating CO2 emissions. Exploring the evolution of CCUS technology can help accelerate the development of CCUS technology. This study aims to reveal the connections and interactions between technology topics, clarify the evolutionary path of CCUS technology, and understand the deep mechanism of technology evolution. To achieve these goals, this paper adopts an integrated approach to analyze the evolution process of CCUS technology by combining patent mining and knowledge evolution theory. First, the BERT-LDA model is used for fine-grained extraction of technology topics from CCUS patents; second, an evolution network depicting the topics' evolution path is constructed based on their temporal correlations; finally, knowledge evolution theory is used to explain the characteristics of topic evolution and analyze potential technological opportunities. The results indicate CCUS technology has gone through five major development periods with gradually enriched and deepened topics; newborn, inheritance and temporary emergence are common topic evolution relationships in the evolution network; the evolution of these topics shows stability, heritability and variability. These findings not only help enterprises to grasp the development trend and potential opportunities of CCUS technology, but also provide policy makers with a basis for decision-making.

IEEE Transactions on Engineering ManagementVol. 72
Harbin Engineering University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 31%
CO2 Reduction Techniques and Catalysts
0.73
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The Global Knowledge Evolution of Carbon Capture, Utilization, and Storage Technology: A Network Analysis of Patent Mining — Kexin Bi, Weiwei Liu, et al. · IEEE Transactions on Engineering Management (2025) | TGRS Research Map | TGRS