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Thermal Characteristics, Kinetics, and Volatility of Co-Combustion of Sewage Sludge and Rice Husk

Bioenergy research, 2021-09, Vol.14 (3), p.1014-1024

2021

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Co-pyrolysis of sewage sludge and rice husk by TG–FTIR–MS: Pyrolysis behavior, kinetics, and condensable/non-condensable gases characteristics

Renewable energy, 2020-11, Vol.160, p.1048-1066

2020

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Pyrolysis characteristics, artificial neural network modeling and environmental impact of coal gangue and biomass by TG-FTIR

The Science of the total environment, 2021-01, Vol.751, p.142293-142293, Article 142293

2021

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Thermodynamics, kinetics, gas emissions and artificial neural network modeling of co-pyrolysis of sewage sludge and peanut shell

Fuel (Guildford), 2021-01, Vol.284, p.118988, Article 118988

2021

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Combustion behavior, kinetics, gas emission characteristics and artificial neural network modeling of coal gangue and biomass via TG-FTIR

Energy (Oxford), 2020-12, Vol.213, p.118790, Article 118790

2020

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Investigation of the co-pyrolysis of coal slime and coffee industry residue based on machine learning methods and TG-FTIR: Synergistic effect, kinetics and thermodynamic

Fuel (Guildford), 2021-12, Vol.305, p.121527, Article 121527

2021

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Experimental study of the co-pyrolysis of sewage sludge and wet waste via TG-FTIR-GC and artificial neural network model: Synergistic effect, pyrolysis kinetics and gas products

Renewable energy, 2022-01, Vol.184, p.1-14

2022

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Investigation of co-combustion of sewage sludge and coffee industry residue by TG-FTIR and machine learning methods

Fuel (Guildford), 2022-02, Vol.309, p.122082, Article 122082

2022

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Research on the co-pyrolysis of coal gangue and coffee industry residue based on machine language: Interaction, kinetics, and thermodynamics

The Science of the total environment, 2022-01, Vol.804, p.150217-150217, Article 150217

2022

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Research on the co-pyrolysis of coal slime and cellulose based on TG-FTIR-MS, artificial neural network, and principal component analysis

Fuel (Guildford), 2022-07, Vol.320, p.123960, Article 123960

2022

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Co-pyrolysis of coal slime and cattle manure by TG–FTIR–MS and artificial neural network modeling: Pyrolysis behavior, kinetics, gas emission characteristics

Energy (Oxford), 2022-05, Vol.247, p.123203, Article 123203

2022

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Influence of biomass on coal slime combustion characteristics based on TG-FTIR, principal component analysis, and artificial neural network

The Science of the total environment, 2022-10, Vol.843, p.156983-156983, Article 156983

2022

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The effect of cellulose on the combustion characteristics of coal slime: TG-FTIR, principal component analysis, and 2D-COS

Fuel (Guildford), 2023-02, Vol.333, p.126310, Article 126310

2023

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The effect of biomass addition on pyrolysis characteristics and gas emission of coal gangue by multi-component reaction model and TG-FTIR-MS

The Science of the total environment, 2021-12, Vol.798, p.149290-149290, Article 149290

2021

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Influence of lignin on coal gangue pyrolysis and gas emission based on multi-lump parallel reaction model and principal component analysis

The Science of the total environment, 2022-05, Vol.820, p.153083-153083, Article 153083

2022

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Experimental study on the spray characteristics of octanol diesel and prediction of spray tip penetration by ANN model

Energy (Oxford), 2022-01, Vol.239, p.121920, Article 121920

2022

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Study on combustion characteristics of nano-aluminum in different gas atmospheres and environment temperatures

Fuel (Guildford), 2023-07, Vol.344, p.127961, Article 127961

2023

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Thermal degradation of cellulose and coal gangue based on lumped reaction model and principal component analysis

Combustion and flame, 2022-11, Vol.245, p.112290, Article 112290

2022

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Influence of biomass on multi-component reaction model and combustion products of coal gangue

Combustion and flame, 2022-06, Vol.240, p.111999, Article 111999

2022

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Experimental study of the ignition and combustion characteristics of cattle manure under different environmental conditions

Energy (Oxford), 2020-04, Vol.197, p.117143, Article 117143

2020

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Thermogravimetric analysis of co-combustion characteristics of sewage sludge and bamboo scraps combined with artificial neural networks

Renewable energy, 2024-05, Vol.226, p.120338, Article 120338

2024

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Corrigendum to “Investigation of the co-pyrolysis of coal slime and coffee industry residue based on machine learning methods and TG-FTIR: Synergistic effect, kinetics and thermodynamic” [Fuel 305 (2021) 121527]

Fuel (Guildford), 2023-01, Vol.331, p.125753, Article 125753

2023

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Effect of lignin on coal slime combustion characteristics and carbon dioxide emission

Journal of cleaner production, 2024-02, Vol.441, p.140884, Article 140884

2024

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Experimental study on ignition and combustion of coal-rice husk blends pellets in air and oxy-fuel conditions

Journal of the Energy Institute, 2020-08, Vol.93 (4), p.1544-1558

2020

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Effects of K 2 SiF 6 on Ignition and Heat Release Characteristic of Nano-Sized Aluminum Powders

Combustion science and technology, 2023-09, p.1-27

2023

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Thermal Characteristics, Kinetics, and Volatility of Co-Combustion of Sewage Sludge and Rice Husk

Co-pyrolysis of sewage sludge and rice husk by TG–FTIR–MS: Pyrolysis behavior, kinetics, and condensable/non-condensable gases characteristics

Pyrolysis characteristics, artificial neural network modeling and environmental impact of coal gangue and biomass by TG-FTIR

Thermodynamics, kinetics, gas emissions and artificial neural network modeling of co-pyrolysis of sewage sludge and peanut shell

Combustion behavior, kinetics, gas emission characteristics and artificial neural network modeling of coal gangue and biomass via TG-FTIR

Investigation of the co-pyrolysis of coal slime and coffee industry residue based on machine learning methods and TG-FTIR: Synergistic effect, kinetics and thermodynamic

Experimental study of the co-pyrolysis of sewage sludge and wet waste via TG-FTIR-GC and artificial neural network model: Synergistic effect, pyrolysis kinetics and gas products

Investigation of co-combustion of sewage sludge and coffee industry residue by TG-FTIR and machine learning methods

Research on the co-pyrolysis of coal gangue and coffee industry residue based on machine language: Interaction, kinetics, and thermodynamics

Research on the co-pyrolysis of coal slime and cellulose based on TG-FTIR-MS, artificial neural network, and principal component analysis

Co-pyrolysis of coal slime and cattle manure by TG–FTIR–MS and artificial neural network modeling: Pyrolysis behavior, kinetics, gas emission characteristics

Influence of biomass on coal slime combustion characteristics based on TG-FTIR, principal component analysis, and artificial neural network

The effect of cellulose on the combustion characteristics of coal slime: TG-FTIR, principal component analysis, and 2D-COS

The effect of biomass addition on pyrolysis characteristics and gas emission of coal gangue by multi-component reaction model and TG-FTIR-MS

Influence of lignin on coal gangue pyrolysis and gas emission based on multi-lump parallel reaction model and principal component analysis

Experimental study on the spray characteristics of octanol diesel and prediction of spray tip penetration by ANN model

Study on combustion characteristics of nano-aluminum in different gas atmospheres and environment temperatures

Thermal degradation of cellulose and coal gangue based on lumped reaction model and principal component analysis

Influence of biomass on multi-component reaction model and combustion products of coal gangue

Experimental study of the ignition and combustion characteristics of cattle manure under different environmental conditions

Thermogravimetric analysis of co-combustion characteristics of sewage sludge and bamboo scraps combined with artificial neural networks

Corrigendum to “Investigation of the co-pyrolysis of coal slime and coffee industry residue based on machine learning methods and TG-FTIR: Synergistic effect, kinetics and thermodynamic” [Fuel 305 (2021) 121527]

Effect of lignin on coal slime combustion characteristics and carbon dioxide emission

Experimental study on ignition and combustion of coal-rice husk blends pellets in air and oxy-fuel conditions

Effects of K 2 SiF 6 on Ignition and Heat Release Characteristic of Nano-Sized Aluminum Powders

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