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A Real Options Model for CCUS Investment: CO 2 Hydrogenation to Methanol in a Chinese Integrated Refining–Chemical Plant

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  • Ruirui Fang

    (School of Economics and Management, China University of Petroleum (Beijing), Beijing 102249, China)

  • Xianxiang Gan

    (School of Economics and Management, China University of Petroleum (Beijing), Beijing 102249, China)

  • Yubing Bai

    (School of Economics and Management, China University of Petroleum (Beijing), Beijing 102249, China)

  • Lianyong Feng

    (School of Economics and Management, China University of Petroleum (Beijing), Beijing 102249, China)

Abstract

The scaling up of carbon capture, utilization, and storage (CCUS) deployment is constrained by multiple factors, including technological immaturity, high capital expenditures, and extended investment return periods. The existing research on CCUS investment decisions predominantly centers on coal-fired power plants, with the utilization pathways placing a primary emphasis on storage or enhanced oil recovery (EOR). There is limited research available regarding the chemical utilization of carbon dioxide (CO 2 ). This study develops an options-based analytical model, employing geometric Brownian motion to characterize carbon and oil price uncertainties while incorporating the learning curve effect in carbon capture infrastructure costs. Additionally, revenues from chemical utilization and EOR are integrated into the return model. A case study is conducted on a process producing 100,000 tons of methanol annually via CO 2 hydrogenation. Based on numerical simulations, we determine the optimal investment conditions for the “CO 2 -to-methanol + EOR” collaborative scheme. Parameter sensitivity analyses further evaluate how key variables—carbon pricing, oil market dynamics, targeted subsidies, and the cost of renewable electricity—influence investment timing and feasibility. The results reveal that the following: (1) Carbon pricing plays a pivotal role in influencing investment decisions related to CCUS. A stable and sufficiently high carbon price improves the economic feasibility of CCUS projects. When the initial carbon price reaches 125 CNY/t or higher, refining–chemical integrated plants are incentivized to make immediate investments. (2) Increases in oil prices also encourage CCUS investment decisions by refining–chemical integrated plants, but the effect is weaker than that of carbon prices. The model reveals that when oil prices exceed USD 134 per barrel, the investment trigger is activated, leading to earlier project implementation. (3) EOR subsidy and the initial equipment investment subsidy can promote investment and bring forward the expected exercise time of the option. Immediate investment conditions will be triggered when EOR subsidy reaches CNY 75 per barrel or more, or the subsidy coefficient reaches 0.2 or higher. (4) The levelized cost of electricity (LCOE) from photovoltaic sources is identified as a key determinant of hydrogen production economics. A sustained decline in LCOE—from CNY 0.30/kWh to 0.22/kWh, and further to 0.12/kWh or below—significantly advances the optimal investment window. When LCOE reaches CNY 0.12/kWh, the project achieves economic viability, enabling investment potentially as early as 2025. This study provides guidance and reference cases for CCUS investment decisions integrating EOR and chemical utilization in China’s refining–chemical integrated plants.

Suggested Citation

  • Ruirui Fang & Xianxiang Gan & Yubing Bai & Lianyong Feng, 2025. "A Real Options Model for CCUS Investment: CO 2 Hydrogenation to Methanol in a Chinese Integrated Refining–Chemical Plant," Energies, MDPI, vol. 18(12), pages 1-21, June.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:12:p:3092-:d:1677135
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    References listed on IDEAS

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    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. Yao, Xing & Zhong, Ping & Zhang, Xian & Zhu, Lei, 2018. "Business model design for the carbon capture utilization and storage (CCUS) project in China," Energy Policy, Elsevier, vol. 121(C), pages 519-533.
    3. Rubin, Edward S. & Yeh, Sonia & Antes, Matt & Berkenpas, Michael & Davison, John, 2007. "Use of experience curves to estimate the future cost of power plants with CO2 capture," Institute of Transportation Studies, Working Paper Series qt46x6h0n0, Institute of Transportation Studies, UC Davis.
    4. Wu, Ning & Parsons, John E. & Polenske, Karen R., 2013. "The impact of future carbon prices on CCS investment for power generation in China," Energy Policy, Elsevier, vol. 54(C), pages 160-172.
    5. Wang, Xingwei & Cai, Yanpeng & Dai, Chao, 2014. "Evaluating China's biomass power production investment based on a policy benefit real options model," Energy, Elsevier, vol. 73(C), pages 751-761.
    6. Zhu, Lei & Fan, Ying, 2013. "Modelling the investment in carbon capture retrofits of pulverized coal-fired plants," Energy, Elsevier, vol. 57(C), pages 66-75.
    7. Rubin, Edward S. & Chen, Chao & Rao, Anand B., 2007. "Cost and performance of fossil fuel power plants with CO2 capture and storage," Energy Policy, Elsevier, vol. 35(9), pages 4444-4454, September.
    8. Zhu, Lei & Fan, Ying, 2011. "A real options–based CCS investment evaluation model: Case study of China’s power generation sector," Applied Energy, Elsevier, vol. 88(12), pages 4320-4333.
    9. Hongju Da & Degang Xu & Jufeng Li & Zhihe Tang & Jiaxin Li & Chen Wang & Hui Luan & Fang Zhang & Yong Zeng, 2023. "Influencing Factors of Carbon Emission from Typical Refining Units: Identification, Analysis, and Mitigation Potential," Energies, MDPI, vol. 16(18), pages 1-17, September.
    10. Yang, Lin & Xu, Mao & Yang, Yuantao & Fan, Jingli & Zhang, Xian, 2019. "Comparison of subsidy schemes for carbon capture utilization and storage (CCUS) investment based on real option approach: Evidence from China," Applied Energy, Elsevier, vol. 255(C).
    11. Hongrui Chu & Lun Ran & Ran Zhang, 2016. "Evaluating CCS Investment of China by a Novel Real Option-Based Model," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-15, December.
    12. Myers, Stewart C., 1977. "Determinants of corporate borrowing," Journal of Financial Economics, Elsevier, vol. 5(2), pages 147-175, November.
    13. Fuss, Sabine & Szolgayová, Jana, 2010. "Fuel price and technological uncertainty in a real options model for electricity planning," Applied Energy, Elsevier, vol. 87(9), pages 2938-2944, September.
    14. Laurikka, Harri, 2006. "Option value of gasification technology within an emissions trading scheme," Energy Policy, Elsevier, vol. 34(18), pages 3916-3928, December.
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