TY - JOUR
T1 - Numerical modeling of biomass fast pyrolysis by using an improved comprehensive reaction scheme for energy analysis
AU - Thoharudin,
AU - Hsiau, Shu San
AU - Chen, Yi Shun
AU - Yang, Shouyin
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2022/1
Y1 - 2022/1
N2 - In this study, we developed an improved comprehensive pyrolysis scheme by modifying the bio-oil species and gas species fractions, increasing the carbon fraction in the char, and combining and changing the metaplastic decompositions for energy analysis. The two-fluid model (TFM) framework was used to simulate pyrolysis in a two-dimensional tubular reactor, and 10 g of 1500-μm-sized pinewood particles was used as biomass feedstock. Pyrolysis was performed at 400 °C−600 °C with an average heating rate of 115 °C/min. The improved scheme was evaluated against recent comprehensive pyrolysis schemes with respect to decomposition characteristics. The pyrolysis product yields and compositions predicted by the improved model accorded with experimental results. Moreover, the energy contents and distributions of pyrolysis products were successfully estimated, and the relative errors of bio-oil, gas, and char energies were 0.61%, 9.54%, and −3.76%, respectively. The energy distributions were more dominant influenced by the pyrolysis product yields than by the energy density.
AB - In this study, we developed an improved comprehensive pyrolysis scheme by modifying the bio-oil species and gas species fractions, increasing the carbon fraction in the char, and combining and changing the metaplastic decompositions for energy analysis. The two-fluid model (TFM) framework was used to simulate pyrolysis in a two-dimensional tubular reactor, and 10 g of 1500-μm-sized pinewood particles was used as biomass feedstock. Pyrolysis was performed at 400 °C−600 °C with an average heating rate of 115 °C/min. The improved scheme was evaluated against recent comprehensive pyrolysis schemes with respect to decomposition characteristics. The pyrolysis product yields and compositions predicted by the improved model accorded with experimental results. Moreover, the energy contents and distributions of pyrolysis products were successfully estimated, and the relative errors of bio-oil, gas, and char energies were 0.61%, 9.54%, and −3.76%, respectively. The energy distributions were more dominant influenced by the pyrolysis product yields than by the energy density.
KW - Comprehensive pyrolysis model
KW - Energy contents
KW - Energy distributions
KW - Pyrolysis product compositions
KW - Pyrolysis product yields
UR - http://www.scopus.com/inward/record.url?scp=85115247164&partnerID=8YFLogxK
U2 - 10.1016/j.renene.2021.09.038
DO - 10.1016/j.renene.2021.09.038
M3 - 期刊論文
AN - SCOPUS:85115247164
SN - 0960-1481
VL - 181
SP - 355
EP - 364
JO - Renewable Energy
JF - Renewable Energy
ER -