Machine learning prediction of bio-oil production from the pyrolysis of lignocellulosic biomass: Recent advances and future perspectives
H Lee, IH Choi, KR Hwang - Journal of Analytical and Applied Pyrolysis, 2024 - Elsevier
Bio-oil produced through pyrolysis of lignocellulosic biomass has recently received
significant attention due to its possible uses as a second-generation biofuel. The yield and …
significant attention due to its possible uses as a second-generation biofuel. The yield and …
Enhanced bio-oil production from biomass catalytic pyrolysis using machine learning
X Chen, A Shafizadeh, H Shahbeik, MH Nadian… - … and Sustainable Energy …, 2025 - Elsevier
This study leverages machine learning technology, coupled with an evolutionary algorithm,
to forecast and optimize the distribution and composition of products from in-situ biomass …
to forecast and optimize the distribution and composition of products from in-situ biomass …
Actionable insights into hazard mitigation of typical 3D printing waste via pyrolysis
Z Lin, J Liu, H Cai, F Evrendilek, C Zhu, F Liang… - Journal of Hazardous …, 2023 - Elsevier
Abstract 3D printing waste (3DPW) contains hazardous substances, such as
photosensitizers and pigments, and may cause environmental pollution when improperly …
photosensitizers and pigments, and may cause environmental pollution when improperly …
Prediction of three-phase product yield of biomass pyrolysis using artificial intelligence-based models
Further efforts are still needed to refine and optimise complex thermochemical pyrolysis
processes crucial in waste management and clean energy production. In this work, a …
processes crucial in waste management and clean energy production. In this work, a …
Bayesian optimized multilayer perceptron neural network modelling of biochar and syngas production from pyrolysis of biomass-derived wastes
Biochar and syngas are important products of pyrolysis that can be employed for a wide
range of applications such as catalysts for biodiesel production, wastewater treatment, and …
range of applications such as catalysts for biodiesel production, wastewater treatment, and …
Artificial neural network-based models for the prediction of biomass pyrolysis products from preliminary analysis
Lignocellulosic biomass is a complex feedstock for pyrolysis, and the products produced
during pyrolysis vary with respect to feedstock and operating conditions. In this study …
during pyrolysis vary with respect to feedstock and operating conditions. In this study …
An overview of advancements in biomass pyrolysis modeling: Applications, challenges, and future perspectives in rotary reactors
C Ma, R Zhu, Y Ma, Y Yu, C Tan, S Yang, H Liu… - Biomass and …, 2025 - Elsevier
Biomass pyrolysis holds promise for both economic value and environmental benefits, while
rotary reactors offer advantages in material handling and heat transfer. Efficient pyrolysis …
rotary reactors offer advantages in material handling and heat transfer. Efficient pyrolysis …
[HTML][HTML] Qualitative and quantitative chemometric modelling of nanostructured carbon samples based on infrared spectroscopy
Rapid population growth necessitates a continuous increase in industrial productivity, with a
concomitant environmental burden. During the past few years, nanostructured carbon …
concomitant environmental burden. During the past few years, nanostructured carbon …
Study on prediction models of oxygenated components content in biomass pyrolysis oil based on neural networks and random forests
Y Zou, H Tian, Z Huang, L Liu, Y Xuan, J Dai… - Biomass and Bioenergy, 2025 - Elsevier
Biomass pyrolysis oil, as a renewable energy source, has significant application value, with
the content of its oxygenated components being a critical parameter affecting its properties …
the content of its oxygenated components being a critical parameter affecting its properties …
Machine learning-based prediction model for the yield of nitrogen-enriched biomass pyrolysis products: Performance evaluation and interpretability analysis
D Bi, H Wang, Y Liu, Z Qin, X Song, S Liu - Journal of Analytical and …, 2024 - Elsevier
The process optimization and control of nitrogen-rich biomass pyrolysis technology is
crucial. This technology effectively converts agricultural waste into high-value energy …
crucial. This technology effectively converts agricultural waste into high-value energy …