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Revealing the critical impact of CO2/(CO2+CO) ratio in different gas-to-methanol processes: Plant-wide modeling and scenario analyses

Author

Listed:
  • Zhang, Leiyu
  • Tang, Zongyue
  • Wang, Lei
  • Gao, Ruxing
  • Jun, Ki-Won
  • Kim, Seok Ki
  • Zhang, Chundong
  • Yang, Yingju
  • Wan, Hui
  • Guan, Guofeng

Abstract

In the context of global carbon neutrality and stringent environmental constraints, gas-to-methanol (GTM) process has emerged as a pivotal pathway for sustainable methanol production. The CO2/(CO + CO2) ratios in the intermediate syngas have crucial influences on the reaction and process performances. However, the lack of consensus on the optimal CO2/(CO + CO2) ratio complicates the systematic optimization of existing GTM processes. With this challenge in mind, the reactor-level kinetic study and system-level techno-economic analysis are implemented to quantitatively investigate the feasibility, sustainability, and profitability of the different process scenarios in the range from 0.2 to 0.6. Herein, three distinct scenarios are proposed: current scenario using steam reforming technology, transitional scenario using CO2/Steam-mixed reforming technology, and future scenario using CO2/O2-mixed reforming technology. As a result, the reactor-level kinetic analysis suggests high CO2/(CO2+CO) ratios suppress the formation of byproduct dimethyl ether. Nevertheless, the system-level techno-economic analyses indicate the appropriate CO2/(CO2+CO) ratio (0.3), rather than extreme values, favors energy and exergy efficiency, carbon mitigation as well as cost saving. This study provides deep insights into the role of CO2/(CO2+CO) ratios in GTM processes and offers a scientific foundation for optimizing GTM processes.

Suggested Citation

  • Zhang, Leiyu & Tang, Zongyue & Wang, Lei & Gao, Ruxing & Jun, Ki-Won & Kim, Seok Ki & Zhang, Chundong & Yang, Yingju & Wan, Hui & Guan, Guofeng, 2025. "Revealing the critical impact of CO2/(CO2+CO) ratio in different gas-to-methanol processes: Plant-wide modeling and scenario analyses," Energy, Elsevier, vol. 333(C).
  • Handle: RePEc:eee:energy:v:333:y:2025:i:c:s0360544225029962
    DOI: 10.1016/j.energy.2025.137354
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