Abstract
| Original language | English |
|---|---|
| Article number | 116410 |
| Journal | Fuel |
| Volume | 260 |
| Number of pages | 12 |
| ISSN | 0016-2361 |
| DOIs | |
| Publication status | Published - 2020 |
Keywords
- Biomass
- Devolatilization
- Particle density
- Single particle model
Cite this
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Experimental and modelling study on the influence of wood type, density, water content, and temperature on wood devolatilization. / Luo, Hao; Lu, Zhimin; Jensen, Peter Arendt; Glarborg, Peter; Lin, Weigang; Dam-Johansen, Kim; Wu, Hao.
In: Fuel, Vol. 260, 116410, 2020.Research output: Contribution to journal › Journal article › Research › peer-review
TY - JOUR
T1 - Experimental and modelling study on the influence of wood type, density, water content, and temperature on wood devolatilization
AU - Luo, Hao
AU - Lu, Zhimin
AU - Jensen, Peter Arendt
AU - Glarborg, Peter
AU - Lin, Weigang
AU - Dam-Johansen, Kim
AU - Wu, Hao
PY - 2020
Y1 - 2020
N2 - Wood devolatilization experiments in a single particle combustor and comparison with a 1D devolatilization model were carried out to investigate the effects of wood particle properties and operating conditions on wood particle devolatilization time. The experiments were conducted with 3 mm spherical/cubic and 4 mm spherical particles at gas temperatures of 1200–1450 °C and oxygen contents of 0–4.4 vol%. Both experimental and modelling results showed that the devolatilization time increases linearly with particle density for raw, wetted, and torrefied wood particles. A sensitivity analysis done with the 1D devolatilization model showed that the biomass devolatilization time is sensitive to particle size, moisture content, gas temperature and particle density, and insensitive to volatiles fraction and gas velocity under the investigated experimental conditions. Using the same devolatilization kinetics, the 1D model could predict well the devolatilization time of different wood species with different particle size, density and moisture content. With this in mind, a simple correlation for devolatilization time has been developed based on the simulation data from the 1D model. The correlation uses a four-variable function with inputs of particle size, moisture content, gas temperature and particle density to determine the devolatilization time of biomass. Experimental devolatilization time found in literature could be predicted within ±25% for large particles (1–10 mm) under high temperature conditions (1000–1600 °C).
AB - Wood devolatilization experiments in a single particle combustor and comparison with a 1D devolatilization model were carried out to investigate the effects of wood particle properties and operating conditions on wood particle devolatilization time. The experiments were conducted with 3 mm spherical/cubic and 4 mm spherical particles at gas temperatures of 1200–1450 °C and oxygen contents of 0–4.4 vol%. Both experimental and modelling results showed that the devolatilization time increases linearly with particle density for raw, wetted, and torrefied wood particles. A sensitivity analysis done with the 1D devolatilization model showed that the biomass devolatilization time is sensitive to particle size, moisture content, gas temperature and particle density, and insensitive to volatiles fraction and gas velocity under the investigated experimental conditions. Using the same devolatilization kinetics, the 1D model could predict well the devolatilization time of different wood species with different particle size, density and moisture content. With this in mind, a simple correlation for devolatilization time has been developed based on the simulation data from the 1D model. The correlation uses a four-variable function with inputs of particle size, moisture content, gas temperature and particle density to determine the devolatilization time of biomass. Experimental devolatilization time found in literature could be predicted within ±25% for large particles (1–10 mm) under high temperature conditions (1000–1600 °C).
KW - Biomass
KW - Devolatilization
KW - Particle density
KW - Single particle model
U2 - 10.1016/j.fuel.2019.116410
DO - 10.1016/j.fuel.2019.116410
M3 - Journal article
VL - 260
JO - Fuel
JF - Fuel
SN - 0016-2361
M1 - 116410
ER -