Co–pyrolysis of de–alkalized lignin and coconut shell via TG/DTG–FTIR and machine learning methods: pyrolysis characteristics, gas products, and thermo–kinetics

Yin, Huiming; Huang, Xiankun; Song, Xiangfei; Miao, Hongchao; Mu, Lin

doi:10.1016/j.fuel.2022.125517

Cited by 17 publications

(2 citation statements)

References 54 publications

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“…Nowadays, biomass as a renewable energy source is widely investigated, owing to its wide availability, diversity, low price, low emissions and low heterogenic content. Moreover, its utilization in thermochemical conversion processes aiming at liquid or gaseous products is broadly studied [1,2]. During pyrolysis or gasification, the proper parameters and understanding of the mechanisms that occur are really important for process optimization and for the appropriate product distribution and quality [1,3].…”

Section: Introductionmentioning

confidence: 99%

Determination of Kinetic and Thermodynamic Parameters of Biomass Gasification with TG-FTIR and Regression Model Fitting

Zsinka,

Tarcsay,

Miskolczi

2024

Energies

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In this study, the decomposition of five different raw materials (maize, wheat and piney biomass, industrial wood chips and sunflower husk) were investigated using the TG-FTIR method to obtain raw data for model-based calculations. The data obtained from the thermogravimetric analysis served as a basis for kinetic analysis with three different isoconversional, model-free methods, which were the KAS, FWO and Friedman methods. Afterwards, the activation energy and the pre-exponential factor were determined, and no significant difference could be identified among the used methods (difference was under 5%), achieving 203–270 kJ/mol of Ea on average. Thereafter, the thermodynamic parameters were studied. Based on the TG-FTIR data, a logistic regression model was fitted to the data, which gives information about the thermal degradation and the obtained components with different heating rates. The FTIR analysis resulted in differential peaks corresponding to the studied components that were detected within the temperature range of 350–380 °C. The primary degradation processes occurred within a broader temperature range of 200–600 °C. Accordingly, in this work, the use of logistic mixture models as an alternative to traditional kinetic models for the description of the TGA process was also investigated, reaching adequate performance in fitting by a validation data coefficient of determination of R2 = 0.9988.

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Section: Introductionmentioning

confidence: 99%

Determination of Kinetic and Thermodynamic Parameters of Biomass Gasification with TG-FTIR and Regression Model Fitting

Zsinka,

Tarcsay,

Miskolczi

2024

Energies

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“…Commonly used model-free methods are the Flynn–Wall–Ozawa (FWO) method, the Kissinger–Akahira–Sunose (KAS) method, and the Starink and Friedman (FM) method. The Z-master plot (Criado) method can be used to predict the reaction mechanism of complex raw materials, and the most suitable reaction mechanism model can be obtained by comparing the assumed kinetic model with the experimental data. , Although many researchers have studied the kinetics, thermodynamic parameters, and reaction mechanisms of pyrolysis processes such as oil sludge, sludge, and coconut shells, few studies have been reported on the pyrolysis of OBDCs. − …”

Section: Introductionmentioning

confidence: 99%

Study on Pyrolysis of Shale Gas Oil-Based Drilling Cuttings: Kinetics, Process Parameters, and Product Yield

Liu

Xiao

Dai³

et al. 2023

ACS Omega

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The main reaction range (350–550 °C) of oil-based drilling cutting (OBDC) pyrolysis was studied by a thermogravimetric analyzer and a vacuum tube furnace. The average activation energies calculated by four model-free methods were 185.5 kJ/mol (FM), 184.16 kJ/mol (FWO), 166.17 kJ/mol (KAS), and 176.03 kJ/mol (Starink). The reaction mechanism was predicted by the Criado (Z-master plot) method. It is found that a high heating rate is helpful to predict the reaction mechanism, but it cannot be described by a single reaction model. Under the conditions of target temperature higher than 350 °C, residence time higher than 50 min, laying thickness less than 20 mm, and heating rate lower than 15 °C, the residual oil content is lower than 0.3% and the recovery rate of mineral oil is higher than 98.43%. Solid phase products accounted for more than 70%, reached the maximum 17.04% at 450 °C, and then decreased to 15.87% at 500 °C. Aromatic hydrocarbons, as coking precursors, are transformed from a low ring to a high ring. Recycled mineral oil can reconfigure oil-based mud (OBM). The research results can provide a theoretical basis for process optimization.

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Efficient Soil Stabilizers Against Wind Erosion Based on Lignin and Lignosulfonate Composites of Dubb Humic Acid as a Value-Added Material Extracted from a Natural Waste

Nikoosefat,

Shariatinia,

Mair

et al. 2023

J Polym Environ

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Co–pyrolysis of de–alkalized lignin and coconut shell via TG/DTG–FTIR and machine learning methods: pyrolysis characteristics, gas products, and thermo–kinetics

Cited by 17 publications

References 54 publications

Determination of Kinetic and Thermodynamic Parameters of Biomass Gasification with TG-FTIR and Regression Model Fitting

Determination of Kinetic and Thermodynamic Parameters of Biomass Gasification with TG-FTIR and Regression Model Fitting

Study on Pyrolysis of Shale Gas Oil-Based Drilling Cuttings: Kinetics, Process Parameters, and Product Yield

Efficient Soil Stabilizers Against Wind Erosion Based on Lignin and Lignosulfonate Composites of Dubb Humic Acid as a Value-Added Material Extracted from a Natural Waste

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