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

Ni, Zhanshi; Bi, Haobo; Jiang, Chunlong; Sun, Hao; Zhou, Weixing; Qiu, Zhicong; He, Liqun; Lin, Qizhao

doi:10.1016/j.scitotenv.2022.156983

Cited by 25 publications

(5 citation statements)

References 75 publications

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“…The weight loss trend of OBDC is roughly the same under different heating rates, and the maximum weight loss rate increases with the increase of the heating rate. As the heating rate increases, the TG and DTG curves shift to the high-temperature region, and a similar phenomenon was also observed by Ni et al 33 In addition, the peak of the TG curve in the third stage is because the increase of the heating rate will cause the secondary cracking reaction, the decomposition of inorganic substances, and the occurrence of coking.…”

Section: Resultssupporting

confidence: 79%

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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Section: Resultssupporting

confidence: 79%

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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“…Moreover, the heating rate is included and is essential in the case of the kinetic calculations. The main steps for the final form of the equations can be found in many prior studies [18][19][20][21][22]. In the case of the KAS method, the results are ln β T 2 vs. 1 T vs. 1/T plotted as a function of 1/T, while those of the FWO are ln(β) vs. 1 T vs. 1/T and, with the Friedman method, ln dx dt vs. 1 T vs. 1/T gives the results.…”

Section: Kinetic and Thermodynamic Studiesmentioning

confidence: 99%

“…The Gibbs free energy provides information on the required amount of energy for the generation of the activated complex, while the entropy, in the case of a positive value, indicates that the activated complex in the system is in a disordered state, differing from thermodynamic equilibrium. However, if the derivative of the entropy is also positive, the resulting final products are in a more disordered state than the starting materials in the system [19,26].…”

Section: Kinetic and Thermodynamic Studiesmentioning

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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“…Torrefaction can be regarded as a gradual combustion process under moderate conditions ranging between 200 and 300 • C. Post torrefaction, biomass exhibits a significant reduction in oxygen content, coupled with enhancements in calorific value, grindability, and hydrophobicity [20]. Several studies have shown that the torrefaction process can significantly improve the subsequent combustion, gasification, and combustion utility of biomass [23,24]. Consequently, pinpointing the suitable torrefaction temperature and its synergy with the pickling pretreatment method holds significant implications for the subsequent utilization of RH biomass combustion.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Different Pretreatment and Combustion Methods on the Grindability of Rice-Husk-Based SiO2

Ma,

Yuan,

et al. 2023

Nanomaterials

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The rice husk (RH) combustion pretreatment method plays a crucial role in the extraction of nanoscale SiO2 from RH as a silicon source. This study examined the effects of diverse pretreatment methods and combustion temperatures on the particle size distribution of nanoscale high-purity amorphous SiO2 extracted from rice husk ash (RHA) post RH combustion. The experiment was structured using the Taguchi method, employing an L9 (21 × 33) orthogonal mixing table. The median diameter (D50) served as the output response parameter, with the drying method (A), combustion temperature (B), torrefaction temperature (C), and pretreatment method (D) as the input parameters. The results showed the torrefaction temperature (C) as being the predominant factor affecting the D50, which decreased with an increasing torrefaction temperature (C). The optimal parameter combination was identified as A2B2C3D2. The verification test revealed that roasting could improve the abrasiveness of Rh-based silica and reduce the average particle size. Torrefaction at medium temperatures might narrow the size distribution range of RHA-SiO2. We discovered that the purity of silica increased with an increasing roasting temperature by evaluating the concentration of silica in the sample. The production of RHA with silica concentrations up to 92.3% was investigated. X-ray diffraction analysis affirmed that SiO2’s crystal structure remained unaltered across different treatment methods, consistently presenting as amorphous. These results provide a reference for extracting high-value products through RH combustion.

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

Cited by 25 publications

References 75 publications

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

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

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

Comparative Study of Different Pretreatment and Combustion Methods on the Grindability of Rice-Husk-Based SiO2

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