Prediction of NH3 and HCN yield from biomass fast pyrolysis: Machine learning modeling and evaluation-Reference-Cited by-同舟云学术

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Prediction of NH3 and HCN yield from biomass fast pyrolysis: Machine learning modeling and evaluation

Published:2023-08 Issue: Volume:885 Page:163743
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Tao Junyu,Yin Xiaoxiao,Yao Xilei,Cheng Zhanjun,Yan Beibei,Chen Guanyi

Funder

National Natural Science Foundation of China

Tianjin Municipal Science and Technology Bureau

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference44 articles.

1. Bio-oil derived from empty fruit bunches;Abdullah;Fuel,2008

2. Experiments and modelling of NOx precursors release (NH3 and HCN) in fixed-bed biomass combustion conditions;Anca-Couce;Fuel,2018

3. NOx and N2O precursors (NH3 and HCN) in pyrolysis of biomass residues;Becidan;Energy Fuel,2007

4. Bagging predictors;Breiman;Mach. Learn.,1996

5. Random forests;Breiman;Mach. Learn.,2001

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1. Nitrogen migration and transformation during the pyrolysis of corn straw with iron-based catalyst;Journal of Analytical and Applied Pyrolysis;2024-09

2. Synergistic Catalytic Effects on Nitrogen Transformation during Biomass Pyrolysis: A Focus on Proline as a Model Compound;Molecules;2024-06-30

3. Impact of biogenic impurities on catalytic synthesis of multi-walled carbon nanotubes and hydrogen from polyolefin resins;Journal of Cleaner Production;2024-04

4. Study on the Co-gasification characteristics of biomass and municipal solid waste based on machine learning;Energy;2024-03

5. Study on waste tire pyrolysis product characteristics based on machine learning;Journal of Environmental Chemical Engineering;2023-12

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