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Non-oxidative torrefaction of biomass to enhance its fuel properties

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  • Álvarez, Ana
  • Nogueiro, Dositeo
  • Pizarro, Consuelo
  • Matos, María
  • Bueno, Julio L.

Abstract

Torrefaction upgrades the biomass as an energy source enhancing its poorest characteristics. Non-oxidative torrefaction of six biomass samples (pine, eucalyptus, chestnut, holm oak, olive tree pruning and vine shoot) was conducted in a tube furnace reactor within the range 200–300 °C and proximate, ultimate and heating value analysis as well as wettability studies were carried out to characterize the torrefied samples and find the optimal temperature of the process. In addition, Pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS) was performed and chemical-kinetics parameters of torrefaction were obtained at optimal temperature. At optimal torrefaction temperature, moisture was reduced up to 2.5% and H/C and O/C atomic ratios up to 1.3 and 0.6, respectively. Contact angle measurements show an increase in hydrophobic behaviour. Lignin was affected by torrefaction since decomposition products from guaiacyl (G) and syringyl (S) units were released during Py-GCMS experiments. The global reaction order was 2.2 and kinetic constant values were in the range 2.17·10−5 to 4.83·10−5 s−1.

Suggested Citation

  • Álvarez, Ana & Nogueiro, Dositeo & Pizarro, Consuelo & Matos, María & Bueno, Julio L., 2018. "Non-oxidative torrefaction of biomass to enhance its fuel properties," Energy, Elsevier, vol. 158(C), pages 1-8.
  • Handle: RePEc:eee:energy:v:158:y:2018:i:c:p:1-8
    DOI: 10.1016/j.energy.2018.06.009
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    1. Chen, Wei-Hsin & Peng, Jianghong & Bi, Xiaotao T., 2015. "A state-of-the-art review of biomass torrefaction, densification and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 847-866.
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    6. Devaraja, Udya Madhavi Aravindi & Senadheera, Sachini Supunsala & Gunarathne, Duleeka Sandamali, 2022. "Torrefaction severity and performance of Rubberwood and Gliricidia," Renewable Energy, Elsevier, vol. 195(C), pages 1341-1353.
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    8. Lin, Xiaona & Kong, Lingshuai & Ren, Xiajin & Zhang, Donghong & Cai, Hongzhen & Lei, Hanwu, 2021. "Catalytic co-pyrolysis of torrefied poplar wood and high-density polyethylene over hierarchical HZSM-5 for mono-aromatics production," Renewable Energy, Elsevier, vol. 164(C), pages 87-95.
    9. Jae-Hyun Park & Young-Chan Choi & Young-Joo Lee & Hyung-Taek Kim, 2020. "Characteristics of Miscanthus Fuel by Wet Torrefaction on Fuel Upgrading and Gas Emission Behavior," Energies, MDPI, vol. 13(10), pages 1-10, May.
    10. Onsree, Thossaporn & Tippayawong, Nakorn, 2021. "Machine learning application to predict yields of solid products from biomass torrefaction," Renewable Energy, Elsevier, vol. 167(C), pages 425-432.
    11. Arkadiusz Dyjakon & Tomasz Noszczyk & Łukasz Sobol & Dominika Misiakiewicz, 2021. "Influence of Torrefaction Temperature and Climatic Chamber Operation Time on Hydrophobic Properties of Agri-Food Biomass Investigated Using the EMC Method," Energies, MDPI, vol. 14(17), pages 1-19, August.
    12. Jorge Miguel Carneiro Ribeiro & Radu Godina & João Carlos de Oliveira Matias & Leonel Jorge Ribeiro Nunes, 2018. "Future Perspectives of Biomass Torrefaction: Review of the Current State-Of-The-Art and Research Development," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    13. Arkadiusz Dyjakon & Tomasz Noszczyk & Martyna Smędzik, 2019. "The Influence of Torrefaction Temperature on Hydrophobic Properties of Waste Biomass from Food Processing," Energies, MDPI, vol. 12(24), pages 1-17, December.
    14. Singh, Rishikesh Kumar & Sarkar, Arnab & Chakraborty, Jyoti Prasad, 2020. "Effect of torrefaction on the physicochemical properties of eucalyptus derived biofuels: estimation of kinetic parameters and optimizing torrefaction using response surface methodology (RSM)," Energy, Elsevier, vol. 198(C).
    15. Duan, Hanqi & Zhang, Zhiqing & Rahman, Md Maksudur & Guo, Xiaojuan & Zhang, Xingguang & Cai, Junmeng, 2020. "Insight into torrefaction of woody biomass: Kinetic modeling using pattern search method," Energy, Elsevier, vol. 201(C).

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