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Thermodynamic analysis and parametric optimization of steam-CO2 based biomass gasification system using Aspen PLUS

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  • Vikram, Shruti
  • Rosha, Pali
  • Kumar, Sandeep
  • Mahajani, Sanjay

Abstract

Energy procurement from renewable energy sources to promote carbon neutrality has gained a significant boost in recent times. The present study contributes to developing a reliable numerical model for syngas production from woody biomass with steam and CO2 as gasifying agents. Aspen PLUS process simulator was employed to investigate the critical parameters such as gasification temperature, reactions temperature, and gas agent composition on H2 and CO concentrations, CO and CO2 conversion, H2/CO ratio, and the syngas process efficiency. The gasification system's energy performance was evaluated at 900 °C. Simulation results showed that the substitution of H2O by CO2 did not significantly influence the gasification efficiency yet, enhanced the biofuel energy from the biomass, and aided in tailoring the H2/CO ratio for downstream synthesis. The replacement of H2O by CO2 can effectively generate useful syngas for downstream synthesis applications and reduce global greenhouse emissions. This data information can be beneficial to understand and optimize the overall gasification process for exploring possible utilization of CO2 without the need for laborious, high-cost, and time-consuming experimental investigation.

Suggested Citation

  • Vikram, Shruti & Rosha, Pali & Kumar, Sandeep & Mahajani, Sanjay, 2022. "Thermodynamic analysis and parametric optimization of steam-CO2 based biomass gasification system using Aspen PLUS," Energy, Elsevier, vol. 241(C).
  • Handle: RePEc:eee:energy:v:241:y:2022:i:c:s0360544221031030
    DOI: 10.1016/j.energy.2021.122854
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    References listed on IDEAS

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    3. Wang, Shucheng & Chen, Xiaoxu & Wei, Bing & Fu, Zhongguang & Li, Hongwei & Qin, Mei, 2023. "Thermodynamic analysis of a net zero emission system with CCHP and green DME production by integrating biomass gasification," Energy, Elsevier, vol. 273(C).
    4. Shi, Tao & Zhou, Jianzhao & Ren, Jingzheng & Ayub, Yousaf & Yu, Haoshui & Shen, Weifeng & Li, Qiao & Yang, Ao, 2023. "Co-valorisation of sewage sludge and poultry litter waste for hydrogen production: Gasification process design, sustainability-oriented optimization, and systematic assessment," Energy, Elsevier, vol. 272(C).
    5. Roy, Dibyendu & Samanta, Samiran & Roy, Sumit & Smallbone, Andrew & Paul Roskilly, Anthony, 2023. "Fuel cell integrated carbon negative power generation from biomass," Applied Energy, Elsevier, vol. 331(C).
    6. Pang, Yunhui & Zhu, Xiaoli & Li, Ning & Wang, Zhenbo, 2023. "Investigation on reaction mechanism for CO2 gasification of softwood lignin by ReaxFF MD method," Energy, Elsevier, vol. 267(C).
    7. Qiu, Jianhua & Wu, Fujun & Chen, Fangzhou & Huang, Weijia & Cai, Yezheng & Jiang, Juantao, 2022. "Entire process simulation and thermodynamic analysis of the catalytic gasification for synthetic natural gas from biomass," Energy, Elsevier, vol. 255(C).

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