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Aspen plus integrated machine learning framework for the bio oil and biochar yield prediction for diverse biowastes
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DOI：10.1016/j.ceja.2026.101412.png)
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Abstract
En 中文
• Aspen Plus® RYIELD simulation generates 594 bio-oil compound-group observations. • Six feedstocks span lignocellulosic and non-lignocellulosic biomass categories. • XGBoost surrogate achieves R² = 0.951 for five-group bio-oil and biochar prediction. • Python dashboard enables real-time bio-oil compound screening without re-simulation.
Keywords:
Biomass pyrolysis prediction
RYIELD reactor model
XGBoost regression
Bio-oil speciation
Decision-support dashboard
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