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Assessment and analysis of multi-biomass fuels for sustainable electricity generation

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  • Wiranarongkorn, Kunlanan
  • Phajam, Picharporn
  • Im-orb, Karittha
  • Saebea, Dang
  • Arpornwichanop, Amornchai

Abstract

Many biomass power plants are not flexible, using only one fuel type, and have high CO2 emissions. In this study, a new methodology to assess the multi-biomass utilization for a power plant is proposed. The results provide that the proportions of mixed biomass residues in different regions of Thailand are appropriate with lower chloride content and slagging inclination than the standard specification. However, high alkali metal oxides in biomass in the southern region lead to high fouling inclination with high fly ash deposition. The electricity production using multi-biomass fuel is more efficient with lower fuel consumption than that with single-type biomass. To generate 103.43 MW electricity production, 107.89 t h−1 consumption of mixed biomass fuels in the central is lower than that with multi-biomass in other regions. However, it generates a maximum of 12.5 mol% CO2 in exhaust gases which can be captured by suitable amine-based absorbents with 90.82% efficiency.

Suggested Citation

  • Wiranarongkorn, Kunlanan & Phajam, Picharporn & Im-orb, Karittha & Saebea, Dang & Arpornwichanop, Amornchai, 2021. "Assessment and analysis of multi-biomass fuels for sustainable electricity generation," Renewable Energy, Elsevier, vol. 180(C), pages 1405-1418.
    • Handle: RePEc:eee:renene:v:180:y:2021:i:c:p:1405-1418
    DOI: 10.1016/j.renene.2021.08.129
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    References listed on IDEAS

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    4. Ninduangdee, Pichet & Kuprianov, Vladimir I., 2016. "A study on combustion of oil palm empty fruit bunch in a fluidized bed using alternative bed materials: Performance, emissions, and time-domain changes in the bed condition," Applied Energy, Elsevier, vol. 176(C), pages 34-48.
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    2. Liu, Zhen & Saydaliev, Hayot Berk & Lan, Jing & Ali, Sajid & Anser, Muhammad Khalid, 2022. "Assessing the effectiveness of biomass energy in mitigating CO2 emissions: Evidence from Top-10 biomass energy consumer countries," Renewable Energy, Elsevier, vol. 191(C), pages 842-851.
    3. Zhang, Qiyan & Liu, Yanxing & Cao, Yuhao & Li, Zhengyuan & Hou, Jiachen & Gou, Xiang, 2023. "Parametric study and optimization of MEA-based carbon capture for a coal and biomass co-firing power plant," Renewable Energy, Elsevier, vol. 205(C), pages 838-850.

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