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Network Evolutionary Game Analysis of Coal-to-Hydrogen CCUS Technology Dissemination in Carbon Trading Market

Author

Listed:
  • Hua Pan

    (CHN ENERGY Investment Group Co., Ltd., Beijing 100010, China)

  • Yan Wang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Yunfeng Chen

    (CHN ENERGY Investment Group Co., Ltd., Beijing 100010, China
    School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Jiakang Sun

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Jicheng Liu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

Integrating coal-to-hydrogen production with Carbon Capture, Utilization, and Storage (CCUS) is essential for reducing greenhouse gas emissions and facilitating a shift towards a more sustainable energy paradigm. This paper explores the diffusion of CCUS technology within the coal-to-hydrogen sector against the dynamic backdrop of the carbon trading market. An evolutionary game-theoretic approach is utilized within a small-world network framework to analyze the spread of CCUS technology among coal-to-hydrogen enterprises. The simulation reveals that current market dynamics, along with technological, market, and policy-related uncertainties, do not robustly encourage the adoption of CCUS. As the carbon trading market continues to mature, carbon prices become a significant factor influencing the diffusion of CCUS technology in coal-to-hydrogen processes. Furthermore, investment costs, hydrogen market prices, and governmental policies are identified as pivotal elements in the propagation of CCUS technology. This study contributes valuable insights into the sustainable development of the hydrogen industry and the broader implications for low-carbon energy transition strategies.

Suggested Citation

  • Hua Pan & Yan Wang & Yunfeng Chen & Jiakang Sun & Jicheng Liu, 2025. "Network Evolutionary Game Analysis of Coal-to-Hydrogen CCUS Technology Dissemination in Carbon Trading Market," Sustainability, MDPI, vol. 17(2), pages 1-21, January.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:2:p:418-:d:1562300
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    References listed on IDEAS

    as
    1. Fan, Jing-Li & Li, Zezheng & Ding, Zixia & Li, Kai & Zhang, Xian, 2023. "Investment decisions on carbon capture utilization and storage retrofit of Chinese coal-fired power plants based on real option and source-sink matching models," Energy Economics, Elsevier, vol. 126(C).
    2. Ajanovic, Amela & Sayer, Marlene & Haas, Reinhard, 2024. "On the future relevance of green hydrogen in Europe," Applied Energy, Elsevier, vol. 358(C).
    3. Zhou, Zhao & Liang, Haili & Su, Housheng & Xu, Xinjian & Du, Wenli, 2019. "Stochastic stability analysis of evolutionary two-player games on regular graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    4. Patonia, Aliaksei, 2025. "Green hydrogen and its unspoken challenges for energy justice," Applied Energy, Elsevier, vol. 377(PC).
    5. Sun, Lili & Liu, Qiang & Chen, Hongju & Yu, Hang & Li, Ling & Li, Lintao & Li, Yanzun & Adenutsi, Caspar Daniel, 2024. "Source-sink matching and cost analysis of offshore carbon capture, utilization, and storage in China," Energy, Elsevier, vol. 291(C).
    6. Chang, Yuan & Gao, Siqi & Ma, Qian & Wei, Ying & Li, Guoping, 2024. "Techno-economic analysis of carbon capture and utilization technologies and implications for China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    7. William Ampomah & Anthony Morgan & Desmond Ofori Koranteng & Warden Ivan Nyamekye, 2024. "CCUS Perspectives: Assessing Historical Contexts, Current Realities, and Future Prospects," Energies, MDPI, vol. 17(17), pages 1-57, August.
    8. Min Thura Mon & Roengchai Tansuchat & Woraphon Yamaka, 2024. "CCUS Technology and Carbon Emissions: Evidence from the United States," Energies, MDPI, vol. 17(7), pages 1-18, April.
    9. Dongdong Song & Tong Jiang & Chuanping Rao, 2022. "Review of Policy Framework for the Development of Carbon Capture, Utilization and Storage in China," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
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