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

Jiayu Wei, Can Yao and Changdong Sheng ()
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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

Energies, 2023, vol. 16, issue 10, 1-17

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%.

Keywords: biomass; storage; self-heating; spontaneous combustion; modelling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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