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Modelling Self-Heating and Self-Ignition Processes during Biomass Storage

Author

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  • Jiayu Wei

    (School of Energy and Environment, Southeast University, Nanjing 210096, China)

  • Can Yao

    (School of Energy and Environment, Southeast University, Nanjing 210096, China)

  • Changdong Sheng

    (School of Energy and Environment, Southeast University, Nanjing 210096, China)

Abstract

A mathematical model was developed to predict the self-heating and self-ignition processes of relatively dry biomass during storage, considering in detail the effects of moisture exchange behaviour, low-temperature oxidation reaction and associated heat and mass transfer. Basket heating tests on fir pellets and powder at temperatures of 180–200 °C were conducted to observe the heating process and determine the kinetics of low-temperature chemical oxidation for model validation. As a result, it was demonstrated that the developed model could reasonably represent the self-heating and spontaneous combustion processes of biomass storage. Furthermore, the numerical study and model sensitivity analysis revealed that reasonably describing the low-temperature oxidation and associated heat and mass transfer process with reliable estimations of kinetic and thermophysical parameters of the biomass material is necessary for predicting the self-ignition, considering the effect of water exchange behaviour is essential to predict the self-heating process even for relatively dry biomass, such as pellets, with the moisture content up to 15–20%.

Suggested Citation

  • Jiayu Wei & Can Yao & Changdong Sheng, 2023. "Modelling Self-Heating and Self-Ignition Processes during Biomass Storage," Energies, MDPI, vol. 16(10), pages 1-17, May.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:10:p:4048-:d:1145584
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    References listed on IDEAS

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    2. Larsson, Sylvia H. & Lestander, Torbjörn A. & Crompton, Dave & Melin, Staffan & Sokhansanj, Shahab, 2012. "Temperature patterns in large scale wood pellet silo storage," Applied Energy, Elsevier, vol. 92(C), pages 322-327.
    3. Naoharu Murasawa & Hiroshi Koseki, 2015. "Investigation of Heat Generation from Biomass Fuels," Energies, MDPI, vol. 8(6), pages 1-16, June.
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