Kinetics based on two-stage scheme for co-combustion of herbaceous biomass and bituminous coal

Liu, Xiang; Chen, Meiqian; Wei, Yuanhang

doi:10.1016/j.fuel.2014.11.085

Cited by 69 publications

(22 citation statements)

References 38 publications

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“…To understand the inhibition effects of the 5 inhibitors, the apparent activation energy (E a ) and pre-exponential factor (A) were obtained through kinetic analysis by using TABLE 4 Reaction mechanisms with different kinetic models [22][23][24][25] No.…”

Section: Inhibition Effect Analysis Through Kinetic Analysismentioning

confidence: 99%

“…The Achar and Coats-Redfern methods are shown as Equations 1 and 2, respectively, where α is the degree of conversion, R is the gas constant, T is the absolute temperature, β is the heating rate, and f(α) and g(α) are differential and integrated kinetic equations, respectively 22,23 : The Achar and Coats-Redfern methods are shown as Equations 1 and 2, respectively, where α is the degree of conversion, R is the gas constant, T is the absolute temperature, β is the heating rate, and f(α) and g(α) are differential and integrated kinetic equations, respectively 22,23 :…”

Section: Inhibition Effect Analysis Through Kinetic Analysismentioning

confidence: 99%

“…Achar (differential) and Coats-Redfern (integrated) methods. The Achar and Coats-Redfern methods are shown as Equations 1 and 2, respectively, where α is the degree of conversion, R is the gas constant, T is the absolute temperature, β is the heating rate, and f(α) and g(α) are differential and integrated kinetic equations, respectively 22,23 :…”

Section: Inhibition Effect Analysis Through Kinetic Analysismentioning

confidence: 99%

“…Therefore, we applied different f(α) and g(α) to obtain the E a , A, and R 2 of the fitting results; Table 4 lists the various f (α) and g(α) corresponding to their reaction mechanisms. [22][23][24][25] Figures 9 and 10 show the fitting results for anthracite and coke coal during the mass loss of the combustion reaction when the Achar and Coats-Redfern methods were used, respectively. We observed that the use of f(α)8 and g(α)8 produced similar E a and lnA values and the highest R 2 (>0.99) for anthracite, which belongs to 4D diffusion models.…”

Section: Inhibition Effect Analysis Through Kinetic Analysismentioning

confidence: 99%

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Comparison of the inhibition mechanisms of five types of inhibitors on spontaneous coal combustion

Tsai¹,

Yang

Wang

et al. 2017

Int J Energy Res

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Summary Five inhibitors—Zn/Mg/Al‐CO3 layered double hydroxides (LDHs), thermosensitive hydrogel (P(NIPA‐co‐SA)), diammonium phosphate ((NH4)2HPO4), sodium phosphate (Na3PO4), and magnesium chloride (MgCl2)—commonly used to forestall the spontaneous combustion of anthracite and coke coal were investigated in this study, and the inhibition effects were quantified. According to the results of thermogravimetry, differential scanning calorimetry, Fourier transform infrared spectroscopy, and kinetic analysis, Zn/Mg/Al‐CO3‐LDHs, P(NIPA‐co‐SA), and (NH4)2HPO4 all exert substantial inhibiting effects on anthracite and coke coal. Specifically, P(NIPA‐co‐SA) was altered during the liquid‐to‐gel phase, which isolated the oxygen from the coal surface and produced an endothermic reaction that decreased the environmental temperature; this reaction further inhibited spontaneous combustion. Conversely, MgCl2 promoted a combustion reaction and reduced the apparent activation energy of coal, increasing the risk of spontaneous combustion. This study provides a reference for selecting suitable inhibitors to prevent the spontaneous combustion of coal.

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Section: Inhibition Effect Analysis Through Kinetic Analysismentioning

confidence: 99%

Section: Inhibition Effect Analysis Through Kinetic Analysismentioning

confidence: 99%

Section: Inhibition Effect Analysis Through Kinetic Analysismentioning

confidence: 99%

Section: Inhibition Effect Analysis Through Kinetic Analysismentioning

confidence: 99%

See 2 more Smart Citations

Comparison of the inhibition mechanisms of five types of inhibitors on spontaneous coal combustion

Tsai¹,

Yang

Wang

et al. 2017

Int J Energy Res

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show abstract

“…Some researchers (Sun et al 2010) obtained activation energy values for cotton stalk under air atmosphere of 108 kJ/mol. Liu et al (2015a) indicated that the second stage activation energies of beetroot and switchgrass in the range of 38.06 kJ/mol to 71.36 kJ/mol. Activation energies reported in literature are similar with the results in this study.…”

Section: Kinetic Parametersmentioning

confidence: 99%

Experiments and Kinetic Modeling for the Oxidative Decomposition of Herbaceous and Wooden Residues

et al. 2016

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The thermal characteristics of Paulownia sawdust (PS), bamboo sawdust (BS), rice lemma (RL), and corncob (CC) in an oxidizing atmosphere were investigated using thermogravimetric analysis. The results indicated that the reaction of biomass oxidative decomposition took place in two main phases: devolatilization and char oxidation. Among various types of biomass, BS was found to possess the highest oxidative decomposition reactivity followed by PS, CC, and RL. Additionally, an increase in heating rate led to a significant improvement of the reactivity. The kinetic modeling of the oxidation reaction with the direct fitting method using the DRPM model showed a satisfied match with the experimental data, and the activation energy of biomass during the devolatilization process was higher than that of the char oxidation process. The activation energy of devolatilization was in the range of 80.7 to 133.8 kJ/mol, while that value of char oxidation fluctuated between 41.7 and 67.5 kJ/mol. In addition, with an increase in the heating rate, a marked compensation effect between the activation energy and pre-exponential factors was observed.

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Exploring copyrolysis characteristics and thermokinetics of peach stone and bituminous coal blends

Khoja,

Gohar,

Khan

et al. 2023

Energy Science & Engineering

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Copyrolysis, being an active area of research due to its synergistic impact in utilizing diverse fuel resources, including waste materials, like, peach stone (PS), has been the focal point for this study. PS, produced in vast quantities annually and typically intended for landscaping or insulation purposes, is being studied in combination with low‐grade bituminous coal for energy utilization focusing on thermokinetics and synergistic aspects. Coal‐peach stone (C‐PS) blends were formulated at different ratios and subjected to comprehensive characterization techniques, including ultimate analysis (CHN‐S), gross calorific value (GCV), Fourier transform infrared spectroscopy, and thermogravimetric analyzer (TGA). The ultimate analysis revealed an enhancement in carbon and hydrogen content from 45.38% to 68.08% and from 3.89% to 6.96%, respectively. Additionally, a reduction in sulfur and nitrogen content from 0.54% to 0.11% and from 1.16% to 0.42%, respectively, was observed with an increase in the ratio of PS in the C‐PS blends. The GCV of C‐PS blends ranged from 20.75 to 26.01 MJ kg−1. The pyrolysis conditions simulated in TGA are pivotal for evaluating thermokinetics and synergistic effects. The 60C:40PS blend shows a positive synergy index (SI) value of 0.0203% concerning total mass loss (MLT) indicating a favorable condition for bio‐oil generation. Coats–Redfern model‐fitting method reveals that the activation energy (Ea) of C‐PS blends increases in Section II with the addition of PS, and conversely, it decreases in Section III. The Ea for 100PS and 100C was 106.76 and 45.85 kJ mol−1 through (D3) and (F1), respectively, which was improved through the optimal blend 60C:40PS with an Ea of 94.56 and 27.58 kJ mol−1 through (D3) and (F2), respectively. The values obtained from linear regression prove that the kinetic models are effective while the thermodynamic analysis indicates that the pyrolytic behavior of C‐PS blends is characterized as endothermic, nonspontaneous, and capable of achieving thermodynamic equilibrium more rapidly.

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Kinetics based on two-stage scheme for co-combustion of herbaceous biomass and bituminous coal

Cited by 69 publications

References 38 publications

Comparison of the inhibition mechanisms of five types of inhibitors on spontaneous coal combustion

Comparison of the inhibition mechanisms of five types of inhibitors on spontaneous coal combustion

Experiments and Kinetic Modeling for the Oxidative Decomposition of Herbaceous and Wooden Residues

Exploring copyrolysis characteristics and thermokinetics of peach stone and bituminous coal blends

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