Prediction of product yields and heating value of bio-oil from biomass fast pyrolysis: Explainable predictive modeling and evaluation

In this study, optimized ensemble learning algorithms were employed to predict and analyze the product distribution and higher heating value (HHV) of bio-oil from biomass fast pyrolysis, based on feedstock characteristics, operating conditions, and reactor parameters. The results reveal that pyrolys...

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Bibliographic Details
Published in:Energy (Oxford) 2025-06, Vol.324, p.136087, Article 136087
Main Authors: Li, Longfei, Luo, Zhongyang, Du, Liwen, Miao, Feiting, Liu, Longyi
Format: Article
Language:English
Subjects:
Bio-oil
biofuels
biomass
carbon
data collection
energy
Ensemble learning
Fast pyrolysis
feedstocks
hydrogen
Hyperparameter optimization
Lignocellulosic biomass
prediction
Product yield
pyrolysis
temperature
user interface
yield forecasting
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