IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v312y2024ics0360544224034224.html
   My bibliography  Save this article

What are the future trends in natural gas technology to address climate change? Patent analysis through large language model

Author

Listed:
  • Kim, Mingyu
  • Lee, Juyong

Abstract

Policies to reduce dependence on fossil fuel consumption and increase the share of renewable energy are being pursued worldwide, and in 2020, the European Union highlighted hydrogen as a key priority to achieve its decarbonisation goals. Base on Bidirectional Encoder Representations from Transformers (BERT), a pre-trained transformer-based large language model, this study conducted patent text mining for natural gas utilisation and generation technologies from 2013 to 2022, which are internationally registered patents. As a result of the topic modelling, a topic representation was created with c-TF-IDF that encapsulates all documents in clusters or classes, and 10 related topics and trends were derived. Among the 10 topics, the topics of water reactor and hydrogen-blended gas turbine were found to be increasing rapidly in proportion recently, and in fact, these technologies were found to be the most actively developed technologies in 2023. Therefore, based on the results of patent analysis on natural gas generation technologies, this study demonstrates that applying large language models to traditional patent analysis methodologies that focuses on technology segmentation and topic modelling can be used to predict future trends and innovative technologies, and also suggests the direction of future research on technology prediction.

Suggested Citation

  • Kim, Mingyu & Lee, Juyong, 2024. "What are the future trends in natural gas technology to address climate change? Patent analysis through large language model," Energy, Elsevier, vol. 312(C).
    • Handle: RePEc:eee:energy:v:312:y:2024:i:c:s0360544224034224
    DOI: 10.1016/j.energy.2024.133644
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224034224
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.133644?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sun, Chongzheng & Fan, Xin & Li, Yuxing & Han, Hui & Zhu, Jianlu & Liu, Liang & Geng, Xiaoyi, 2022. "Research on the offshore adaptability of new offshore ammonia-hydrogen coupling storage and transportation technology," Renewable Energy, Elsevier, vol. 201(P1), pages 700-711.
    2. Huh, Sun Kyung, 2023. "Hydrogen Policies in Major Countries: Comparative Analysis with Implications for Korean Policy," Industrial Economic Review 23-16, Korea Institute for Industrial Economics and Trade.
    3. Poullikkas, Andreas, 2005. "An overview of current and future sustainable gas turbine technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(5), pages 409-443, October.
    4. Frick, Konor & Wendt, Daniel & Talbot, Paul & Rabiti, Cristian & Boardman, Richard, 2022. "Technoeconomic assessment of hydrogen cogeneration via high temperature steam electrolysis with a light-water reactor," Applied Energy, Elsevier, vol. 306(PB).
    5. Pashchenko, Dmitry, 2024. "Ammonia fired gas turbines: Recent advances and future perspectives," Energy, Elsevier, vol. 290(C).
    6. Tang, Wenjin & Bu, Hui & Zuo, Yuan & Wu, Junjie, 2024. "Unlocking the power of the topic content in news headlines: BERTopic for predicting Chinese corporate bond defaults," Finance Research Letters, Elsevier, vol. 62(PA).
    7. 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).
    8. Lv, Zongyan & Wu, Lin & Yang, Zhiwen & Yang, Lei & Fang, Tiange & Mao, Hongjun, 2023. "Comparison on real-world driving emission characteristics of CNG, LNG and Hybrid-CNG buses," Energy, Elsevier, vol. 262(PB).
    9. She, Xiaohui & Zhang, Tongtong & Cong, Lin & Peng, Xiaodong & Li, Chuan & Luo, Yimo & Ding, Yulong, 2019. "Flexible integration of liquid air energy storage with liquefied natural gas regasification for power generation enhancement," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    10. Nwachukwu, Chinedu Maureen & Wang, Chuan & Wetterlund, Elisabeth, 2021. "Exploring the role of forest biomass in abating fossil CO2 emissions in the iron and steel industry – The case of Sweden," Applied Energy, Elsevier, vol. 288(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Okoroigwe, Edmund & Madhlopa, Amos, 2016. "An integrated combined cycle system driven by a solar tower: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 337-350.
    2. Qi, Meng & Park, Jinwoo & Lee, Inkyu & Moon, Il, 2022. "Liquid air as an emerging energy vector towards carbon neutrality: A multi-scale systems perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    3. Yong-Jae Lee & Sung-Eun Park & Seong-Yeob Lee, 2024. "Machine Learning-Driven Topic Modeling and Network Analysis to Uncover Shared Knowledge Networks for Sustainable Korea–Japan Intangible Cultural Heritage Cooperation," Sustainability, MDPI, vol. 16(24), pages 1-38, December.
    4. Heo, SungKu & Byun, Jaewon & Ifaei, Pouya & Ko, Jaerak & Ha, Byeongmin & Hwangbo, Soonho & Yoo, ChangKyoo, 2024. "Towards mega-scale decarbonized industrial park (Mega-DIP): Generative AI-driven techno-economic and environmental assessment of renewable and sustainable energy utilization in petrochemical industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    5. Muhsin Kılıç & Ayse Fidan Altun, 2023. "Comprehensive Thermodynamic Performance Evaluation of Various Gas Liquefaction Cycles for Cryogenic Energy Storage," Sustainability, MDPI, vol. 15(24), pages 1-25, December.
    6. Uwitonze, Hosanna & Chaniago, Yus Donald & Lim, Hankwon, 2022. "Novel integrated energy-efficient dual-effect single mixed refrigerant and NGLs recovery process for small-scale natural gas processing plant," Energy, Elsevier, vol. 254(PA).
    7. Fan, Xiaoyu & Xu, Hao & Li, Yihong & Li, Junxian & Wang, Zhikang & Gao, Zhaozhao & Ji, Wei & Chen, Liubiao & Wang, Junjie, 2024. "A novel liquid air energy storage system with efficient thermal storage: Comprehensive evaluation of optimal configuration," Applied Energy, Elsevier, vol. 371(C).
    8. Ding, Xingqi & Zhou, Yufei & Duan, Liqiang & Li, Da & Zheng, Nan, 2023. "Comprehensive performance investigation of a novel solar-assisted liquid air energy storage system with different operating modes in different seasons," Energy, Elsevier, vol. 284(C).
    9. Dzido, Aleksandra & Krawczyk, Piotr & Wołowicz, Marcin & Badyda, Krzysztof, 2022. "Comparison of advanced air liquefaction systems in Liquid Air Energy Storage applications," Renewable Energy, Elsevier, vol. 184(C), pages 727-739.
    10. Bošković, Sara & Švadlenka, Libor & Jovčić, Stefan & Simic, Vladimir & Dobrodolac, Momčilo & Elomiya, Akram, 2024. "Sustainable propulsion technology selection in penultimate mile delivery using the FullEX-AROMAN method," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    11. Mahmood, Muhammad H. & Sultan, Muhammad & Miyazaki, Takahiko & Koyama, Shigeru & Maisotsenko, Valeriy S., 2016. "Overview of the Maisotsenko cycle – A way towards dew point evaporative cooling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 537-555.
    12. Si, H. & Chen, S. & Xie, R.Y. & Zeng, W.Q. & Zhang, X.J. & Jiang, L., 2024. "Techno-economic analysis on a hybrid system with carbon capture and energy storage for liquefied natural gas cold energy utilization," Energy, Elsevier, vol. 308(C).
    13. S. Hamed Fatemi Alavi & Amirreza Javaherian & S. M. S. Mahmoudi & Saeed Soltani & Marc A. Rosen, 2023. "Coupling a Gas Turbine Bottoming Cycle Using CO 2 as the Working Fluid with a Gas Cycle: Exergy Analysis Considering Combustion Chamber Steam Injection," Clean Technol., MDPI, vol. 5(3), pages 1-25, September.
    14. Salvatore Digiesi & Giovanni Mummolo & Micaela Vitti, 2022. "Minimum Emissions Configuration of a Green Energy–Steel System: An Analytical Model," Energies, MDPI, vol. 15(9), pages 1-21, May.
    15. Yunlei Lin & Yuan Zhou, 2023. "Identification of Hydrogen-Energy-Related Emerging Technologies Based on Text Mining," Sustainability, MDPI, vol. 16(1), pages 1-19, December.
    16. Chacartegui, R. & Sánchez, D. & Muñoz, J.M. & Sánchez, T., 2009. "Alternative ORC bottoming cycles FOR combined cycle power plants," Applied Energy, Elsevier, vol. 86(10), pages 2162-2170, October.
    17. Qi, Meng & Park, Jinwoo & Kim, Jeongdong & Lee, Inkyu & Moon, Il, 2020. "Advanced integration of LNG regasification power plant with liquid air energy storage: Enhancements in flexibility, safety, and power generation," Applied Energy, Elsevier, vol. 269(C).
    18. Yong-Jae Lee & Young Jae Han & Sang-Soo Kim & Chulung Lee, 2022. "Patent Data Analytics for Technology Forecasting of the Railway Main Transformer," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
    19. Yang, S., 2022. "Solar-driven liquid air power plant modeling, design space exploration, and multi-objective optimization," Energy, Elsevier, vol. 246(C).
    20. Hajizadeh, Abdollah & Mohamadi-Baghmolaei, Mohamad & Cata Saady, Noori M. & Zendehboudi, Sohrab, 2022. "Hydrogen production from biomass through integration of anaerobic digestion and biogas dry reforming," Applied Energy, Elsevier, vol. 309(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:312:y:2024:i:c:s0360544224034224. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.