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Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral

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  • Kang, Jia-Ning
  • Wei, Yi-Ming
  • Liu, Lan-cui
  • Wang, Jin-Wei

Abstract

Under the premise of being a mature technology, carbon dioxide capture, storage and utilization (CCUS) is an important part of a global climate solution that can help achieve near-zero emissions. However, CCUS development lies well short of what had been anticipated by the public. At present, global CO2 emissions and the target of climate mitigation are so broadly divided that international climate governance is in grave shape. Here has probably become the optimum time to make an inventory of CCUS technology reserves in various economies to enable advanced deployment of technology research and development, dramatically reduce technology costs, and accelerate CCUS commercial deployment. Based on patent data, this study uses a dynamic programming algorithm combined with topic modeling to identify key technology clusters and main development paths from a complex patent network. Such a wide-range open monitoring mode for CCUS technology can quickly detect potential breakthroughs in the evolution paths. To some extent, it is possible to address the problems of less decision-making information and poor accuracy of CCUS technology monitoring. We dissect the development status of the global CCUS patent market and outline the patent layout strategy of CCUS in major economies. From 36,854 patents retrieved, 27 key technology paths are screened, 9 of which are emerging ones that need to speed up the layout; while 57 potential breakthroughs are identified (35 for CO2 capture and 22 for CO2 storage and utilization). These findings are informative for micro-level CCUS research and development in enterprises and provide decision support for the macro-level national science and technology strategic layout.

Suggested Citation

  • Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Wang, Jin-Wei, 2021. "Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    • Handle: RePEc:eee:tefoso:v:171:y:2021:i:c:s0040162521003656
    DOI: 10.1016/j.techfore.2021.120933
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    1. Wei, Yi-Ming & Kang, Jia-Ning & Yu, Bi-Ying & Liao, Hua & Du, Yun-Fei, 2017. "A dynamic forward-citation full path model for technology monitoring: An empirical study from shale gas industry," Applied Energy, Elsevier, vol. 205(C), pages 769-780.
    2. Zhifu Mi & Jiali Zheng & Jing Meng & Jiamin Ou & Klaus Hubacek & Zhu Liu & D’Maris Coffman & Nicholas Stern & Sai Liang & Yi-Ming Wei, 2020. "Economic development and converging household carbon footprints in China," Nature Sustainability, Nature, vol. 3(7), pages 529-537, July.
    3. Zhang, Xian & Fan, Jing-Li & Wei, Yi-Ming, 2013. "Technology roadmap study on carbon capture, utilization and storage in China," Energy Policy, Elsevier, vol. 59(C), pages 536-550.
    4. Yi-Ming Wei & Jin-Wei Wang & Tianqi Chen & Bi-Ying Yu & Hua Liao, 2018. "Frontiers of Low-Carbon Technologies: Results from Bibliographic Coupling with Sliding Window," CEEP-BIT Working Papers 116, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    5. Cameron Hepburn & Ella Adlen & John Beddington & Emily A. Carter & Sabine Fuss & Niall Mac Dowell & Jan C. Minx & Pete Smith & Charlotte K. Williams, 2019. "The technological and economic prospects for CO2 utilization and removal," Nature, Nature, vol. 575(7781), pages 87-97, November.
    6. Zhifu Mi & Jing Meng & Dabo Guan & Yuli Shan & Malin Song & Yi-Ming Wei & Zhu Liu & Klaus Hubacek, 2017. "Chinese CO2 emission flows have reversed since the global financial crisis," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
    7. Míguez, José Luis & Porteiro, Jacobo & Pérez-Orozco, Raquel & Patiño, David & Gómez, Miguel Ángel, 2020. "Biological systems for CCS: Patent review as a criterion for technological development," Applied Energy, Elsevier, vol. 257(C).
    8. Yi-Ming Wei & Jia-Ning Kang & Lan-Cui Liu & Qi Li & Peng-Tao Wang & Juan-Juan Hou & Qiao-Mei Liang & Hua Liao & Shi-Feng Huang & Biying Yu, 2021. "A proposed global layout of carbon capture and storage in line with a 2 °C climate target," Nature Climate Change, Nature, vol. 11(2), pages 112-118, February.
    9. Momeni, Abdolreza & Rost, Katja, 2016. "Identification and monitoring of possible disruptive technologies by patent-development paths and topic modeling," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 16-29.
    10. Zhang, Hao & Daim, Tugrul & Zhang, Yunqiu (Peggy), 2021. "Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    11. Yi-Ming Wei & Rong Han & Qiao-Mei Liang & Bi-Ying Yu & Yun-Fei Yao & Mei-Mei Xue & Kun Zhang & Li-Jing Liu & Juan Peng & Pu Yang & Zhi-Fu Mi & Yun-Fei Du & Ce Wang & Jun-Jie Chang & Qian-Ru Yang & Zil, 2018. "An integrated assessment of INDCs under Shared Socioeconomic Pathways: an implementation of C3IAM," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 585-618, June.
    12. Yi-Ming Wei & Rong Han & Ce Wang & Biying Yu & Qiao-Mei Liang & Xiao-Chen Yuan & Junjie Chang & Qingyu Zhao & Hua Liao & Baojun Tang & Jinyue Yan & Lijing Cheng & Zili Yang, 2020. "Self-preservation strategy for approaching global warming targets in the post-Paris Agreement era," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
    13. Mueller, Simon C. & Sandner, Philipp G. & Welpe, Isabell M., 2015. "Monitoring innovation in electrochemical energy storage technologies: A patent-based approach," Applied Energy, Elsevier, vol. 137(C), pages 537-544.
    14. Shin, Jungwoo & Lee, Chul-Yong & Kim, Hongbum, 2016. "Technology and demand forecasting for carbon capture and storage technology in South Korea," Energy Policy, Elsevier, vol. 98(C), pages 1-11.
    Full references (including those not matched with items on IDEAS)

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    1. Yaozong Zhu & Yezhu Wang & Baohuan Zhou & Xiaoli Hu & Yundong Xie, 2023. "A Patent Bibliometric Analysis of Carbon Capture, Utilization, and Storage (CCUS) Technology," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    2. Song, Xiaohua & Ge, Zeqi & Zhang, Wen & Wang, Zidong & Huang, Yamin & Liu, Hong, 2023. "Study on multi-subject behavior game of CCUS cooperative alliance," Energy, Elsevier, vol. 262(PB).
    3. Jian Hao & Lin Chen & Na Zhang, 2022. "A Statistical Review of Considerations on the Implementation Path of China’s “Double Carbon” Goal," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
    4. Wang Lu & Pietro Bartocci & Alberto Abad & Aldo Bischi & Haiping Yang & Arturo Cabello & Margarita de Las Obras Loscertales & Mauro Zampilli & Francesco Fantozzi, 2023. "Dimensioning Air Reactor and Fuel Reactor of a Pressurized CLC Plant to Be Coupled to a Gas Turbine: Part 2, the Fuel Reactor," Energies, MDPI, vol. 16(9), pages 1-16, April.
    5. Olabi, A.G. & Obaideen, Khaled & Elsaid, Khaled & Wilberforce, Tabbi & Sayed, Enas Taha & Maghrabie, Hussein M. & Abdelkareem, Mohammad Ali, 2022. "Assessment of the pre-combustion carbon capture contribution into sustainable development goals SDGs using novel indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    6. Sindhwani, Rahul & Singh, Punj Lata & Behl, Abhishek & Afridi, Mohd. Shayan & Sammanit, Debaroti & Tiwari, Aviral Kumar, 2022. "Modeling the critical success factors of implementing net zero emission (NZE) and promoting resilience and social value creation," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    7. Hoffmann, Stefan & Lasarov, Wassili & Reimers, Hanna, 2022. "Carbon footprint tracking apps. What drives consumers' adoption intention?," Technology in Society, Elsevier, vol. 69(C).
    8. Choi, Hyunhong & Woo, JongRoul, 2022. "Investigating emerging hydrogen technology topics and comparing national level technological focus: Patent analysis using a structural topic model," Applied Energy, Elsevier, vol. 313(C).
    9. Xi, Xi & Ren, Feifei & Yu, Lean & Yang, Jing, 2023. "Detecting the technology's evolutionary pathway using HiDS-trait-driven tech mining strategy," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    10. Kang, Jia-Ning & Zhang, Yun-Long & Chen, Weiming, 2022. "Delivering negative emissions innovation on the right track: A patent analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).

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