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Process modeling and optimization for torrefaction of forest residues

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  • Bach, Quang-Vu
  • Skreiberg, Øyvind
  • Lee, Chul-Jin

Abstract

This work aims to build a comprehensive biomass torrefaction model, which can provide a wide range of information essential for industrialization and commercialization of the process. Norwegian forest residue (birch branches) was chosen as feedstock. The model is capable of presenting detailed distributions of main and by-products from the torrefaction process. In addition, important fuel properties (ultimate analysis and heating value) of the main solid product after torrefaction can be predicted. The model is validated and simulation results show good agreement with available experimental data in the literature. Reduction in mass and energy yields as well as improvement in heating value of torrefied biomass with increasing torrefaction temperature are observed. Trends for carbon, oxygen and hydrogen contents are also consistent with other experimental works. Moreover, overall energy consumption and process energy efficiency can be estimated from the model. It reveals that drying accounts for 76–80% of the total heat demand. Furthermore, the process energy efficiency reduces with increasing temperature, thus torrefaction at high temperatures is not advisable. More importantly, process optimization shows that optimal conditions for torrefaction of birch branches are 30 min holding time and a temperature between 275 and 278 °C.

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  • Bach, Quang-Vu & Skreiberg, Øyvind & Lee, Chul-Jin, 2017. "Process modeling and optimization for torrefaction of forest residues," Energy, Elsevier, vol. 138(C), pages 348-354.
    • Handle: RePEc:eee:energy:v:138:y:2017:i:c:p:348-354
    DOI: 10.1016/j.energy.2017.07.040
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    References listed on IDEAS

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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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    3. Nobre, Catarina & Vilarinho, Cândida & Alves, Octávio & Mendes, Benilde & Gonçalves, Margarida, 2019. "Upgrading of refuse derived fuel through torrefaction and carbonization: Evaluation of RDF char fuel properties," Energy, Elsevier, vol. 181(C), pages 66-76.
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    6. 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).
    7. Backer, Michael & Gladen, Adam, 2023. "Impact of salt composition and temperature on low-temperature torrefaction of pine in molten nitrate salts," Energy, Elsevier, vol. 263(PE).
    8. Doddapaneni, Tharaka Rama Krishna C. & Praveenkumar, Ramasamy & Tolvanen, Henrik & Rintala, Jukka & Konttinen, Jukka, 2018. "Techno-economic evaluation of integrating torrefaction with anaerobic digestion," Applied Energy, Elsevier, vol. 213(C), pages 272-284.
    9. Sangpil Ko & Pasi Lautala, 2018. "Optimal Level of Woody Biomass Co-Firing with Coal Power Plant Considering Advanced Feedstock Logistics System," Agriculture, MDPI, vol. 8(6), pages 1-21, May.
    10. Mariusz Jerzy Stolarski & Paweł Dudziec & Ewelina Olba-Zięty & Paweł Stachowicz & Michał Krzyżaniak, 2022. "Forest Dendromass as Energy Feedstock: Diversity of Properties and Composition Depending on Systematic Genus and Organ," Energies, MDPI, vol. 15(4), pages 1-60, February.
    11. Korshunov, Alexey & Kichatov, Boris & Melnikova, Ksenia & Gubernov, Vladimir & Yakovenko, Ivan & Kiverin, Alexey & Golubkov, Alexandr, 2019. "Pyrolysis characteristics of biomass torrefied in a quiescent mineral layer," Energy, Elsevier, vol. 187(C).
    12. Maja Ivanovski & Aleksandra Petrovič & Darko Goričanec & Danijela Urbancl & Marjana Simonič, 2023. "Exploring the Properties of the Torrefaction Process and Its Prospective in Treating Lignocellulosic Material," Energies, MDPI, vol. 16(18), pages 1-20, September.

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