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Process simulation, thermodynamic and system optimization for the low-carbon alcohols production via gasification of second-generation biomass

Author

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  • Mo, Wenyu
  • Yu, Beichen
  • Jiang, Long
  • Xu, Kai
  • Xu, Jun
  • Wang, Yi
  • Su, Sheng
  • Hu, Song
  • Xiang, Jun

Abstract

Biomass-to-liquid fuels technology offers a promising method for high-value biomass conversion, addressing environmental toxicity and fossil fuel non-renewability. However, challenges such as low system efficiency and identifying efficiency losses persist. In this study, a comprehensive process model of a low-carbon alcohols production system via biomass gasification was developed, based on the first demonstration project in China. The innovation of this study lies in its detailed experimental validation, as the model simulation was performed using laboratory data and verified with pilot-scale platform data ensuring high accuracy. Additionally, the study conducted a thorough sensitivity analysis of system parameters, energy, and exergy assessments to find the proper operating conditions, including equivalent ratio, biomass type, and reactor temperature and pressure. The simulation results demonstrated an energy efficiency of 34.67 % and an exergy efficiency of 31.24 %. Through operating parameters and heat recovery measures, these efficiencies increased by 11.66 % and 8 %, respectively. This research not only obtains improved operating parameters for the pilot-scale platform but also provides actionable insights for enhancing the yields of target products and upgrading low-grade energy utilization. These findings offer valuable guidance for the commercialization of bio-syngas alcohols production systems, highlighting significant advancements in efficiency and system performance.

Suggested Citation

  • Mo, Wenyu & Yu, Beichen & Jiang, Long & Xu, Kai & Xu, Jun & Wang, Yi & Su, Sheng & Hu, Song & Xiang, Jun, 2024. "Process simulation, thermodynamic and system optimization for the low-carbon alcohols production via gasification of second-generation biomass," Energy, Elsevier, vol. 313(C).
    • Handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224035485
    DOI: 10.1016/j.energy.2024.133770
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    References listed on IDEAS

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