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Microwave torrefaction integrated with gasification: Energy and exergy analyses based on Aspen Plus modeling

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  • Jiao, Liguo
  • Li, Jian
  • Yan, Beibei
  • Chen, Guanyi
  • Ahmed, Sarwaich

Abstract

The serious environmental issues are risen by the high-moisture herb residue (HR). Thermochemical conversion of HR shows the potential for not only clean treatment, but also utilizing its energy. In this study, microwave torrefaction (MT) and conventional torrefaction (CT) were integrated with gasification respectively, for the HR treatment. The systems were simulated and comparatively investigated by Aspen Plus. The modeling of MT was achieved for the first time, and it was validated by the experimental data. The effects of torrefaction on gasification performance were evaluated by exergy and energy analyses. The results showed that the exergy of MT-HR was 17.68 MJ/kg, which was higher than the raw HR and CT-HR, indicating the significant improvement for HR by MT. Meanwhile, the exergy of gasification syngas reached the highest as 7.93 MJ/h with MT, while and the exergy of tar was the lowest as 3.13 MJ/h. It was proved by energy analysis that MT could achieve self-powered in the integrated process, although MT consumed some energy. MT-gasification showed the best performance for electricity yield, due to MT could not only improved the gasification and combustion efficiency, but also reduce the negative influence of tar. This study provides a comprehensive evaluation for the application of MT, and it demonstrates the potential of MT as a promising pretreatment for thermal conversion of biomass waste.

Suggested Citation

  • Jiao, Liguo & Li, Jian & Yan, Beibei & Chen, Guanyi & Ahmed, Sarwaich, 2022. "Microwave torrefaction integrated with gasification: Energy and exergy analyses based on Aspen Plus modeling," Applied Energy, Elsevier, vol. 319(C).
    • Handle: RePEc:eee:appene:v:319:y:2022:i:c:s0306261922006134
    DOI: 10.1016/j.apenergy.2022.119255
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    References listed on IDEAS

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    2. Thoharudin, & Hsiau, Shu-San & Chen, Yi-Shun & Yang, Shouyin, 2023. "Design optimization of fluidized bed pyrolysis for energy and exergy analysis using a simplified comprehensive multistep kinetic model," Energy, Elsevier, vol. 276(C).
    3. Qin, Linbo & Zhu, Shiquan & Xu, Zhe & Zhao, Bo & Chen, Wangsheng & Zhang, Qiang & Han, Jun, 2023. "Technical feasibility and sensitivity analysis of medical waste gasification by the converter gas," Energy, Elsevier, vol. 275(C).

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