Kinetic parameters estimation and reaction model modification for thermal degradation of Beizao oil shale based on thermogravimetric analysis coupled with deconvolution procedure

Zhang, Juan; Sun, Lulu; Zhang, Jiaqing; Ding, Yanming; Chen, Wenlu; Yu, Zhong

doi:10.1016/j.energy.2021.120791

Cited by 19 publications

(19 citation statements)

References 48 publications

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“…Since the transfer of heat requires some time, a fast heating rate may result in insufficient reaction (volatilization and decomposition) of the test sample, leading to an unclear change in the weight loss peak . Therefore, a lower heating rate can observe the multistep discrete reaction that may occur during the pyrolysis process, and the decomposition reaction process is easier to distinguish . Thus, the heating rate during the thermogravimetric test is selected as 10 K/min.…”

Section: Methodsmentioning

confidence: 99%

Simulation of the Two-Stage Pyrolysis Process of Mixed Waste Plastics

Shan,

Xu,

Wang

et al. 2023

Energy Fuels

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Nowadays, "white pollution" waste plastics (WPs) have seriously damaged the ecological environment. Pyrolysis is an effective means of the resource utilization of WPs. Due to the complex composition of mixed WPs (containing chlorine), it is necessary to carry out fractional pyrolysis. This review numerically simulates the process of staged pyrolysis of mixed WPs. The simulation results show that at low speeds (1 rpm), the particles slide along the inner wall of the reactor as a whole. When the rotation speed is high (2, 3 rpm), the particle movement is dominated by the rolling mode. With the increase in the rotation speed of the reactor, the translational speed and rotational speed of the particles gradually increase. When the reactor speed is 2 and 3 rpm, the particle trajectory has relatively significant fluctuations up and down, indicating intense particle motion and frequent changes in particle position. At 3 rpm, the particles reach the highest temperature quickly with a short residence time. At 1 rpm, the particles have the longest residence time but a higher risk of coking. At 2 rpm, the heating rate is faster and can basically reach the temperature and residence time required for pyrolysis. The simulation results analyze the influence of reactor speed on the temperature and motion of mixed WP particles, providing guidance for the optimization of the mixed WP staged pyrolysis process.

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Section: Methodsmentioning

confidence: 99%

Simulation of the Two-Stage Pyrolysis Process of Mixed Waste Plastics

Shan,

Xu,

Wang

et al. 2023

Energy Fuels

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“…T A B L E 1 Algebraic expressions of kinetic model functions and its corresponding mechanism [13,17,[26][27][28][29][30][31][32][33][34][35][36] No. Symbol Kinetic model f(α) g(α)…”

Section: Achar Differential Methodsmentioning

confidence: 99%

“…g(α) and f(α) varies depending on the kinetic models. Several kinetic equations for the description of solid state reactions such as interface chemical reactions, nucleation (acceleratory rate equations), formation of crystallization center of solid products (nucleation) and the growth (Avrami-Erofeev equations), diffusion of gas products in gas phase boundary layer (diffusion) and phase boundary controlled have been proposed [24,25] and used [13,17,[26][27][28][29] during the last decades. Some of the commonly used f(α) and g(α) form and its corresponding mechanism are listed in Table 1.…”

Section: Rate-determining Mechanismmentioning

confidence: 99%

The kinetic models analyses of hydrogenated natural rubber during non‐isothermal degradation process

Lang

Tang

Han

et al. 2022

Vinyl Additive Technology

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Hydrogenated natural rubber (HNR) was prepared by diimide reduction of natural rubber (NR) latex and characterized by FT‐IR, 1H NMR and TG‐DTG. The thermal degradation kinetic models of HNR were studied under a nitrogen atmosphere by TG‐DTG. Achar and Coats–Redfern methods were used to study the non‐isothermal kinetics models change during the thermal degradation process of NR after hydrogenation. The results indicated that HNR with 34.69% and 63.74% hydrogenation degree were prepared. A one‐stage pyrolysis pathway could be observed from all the TGA curves which were shifted to higher degradation temperatures with the rise of saturation degree. The similar activation energies obtained by both Coats–Redfern and Achar methods confirmed that the kinetics calculation was accurate. The results showed the best‐fit models of the samples with the highest regression coefficient values (R2 > 0.90) were chemical reaction models. The reaction order was three (N3) in NR case and the corresponding mechanism functions were g(α) = [(1‐α)−2–1]/2, f(α) = (1‐α)3. The reaction order was two (N2) when it came to HNR with hydrogenation degree of 34.69%. The most probable mechanism functions were g(α) = (1‐α)−1–1, f(α) = (1‐α)2. As the degree of hydrogenation increased to 63.74%, the reaction order best‐fit changed to one (N1) which was proved to be the same as the ethylene‐propylene diene rubber samples. And the mechanism functions were g(α) = −ln(1‐α), f(α) = 1‐α. The thermal degradation models of polymers was closely related to the structure. And the structure effects affected the degradation behavior as well as the thermal properties of polymers.

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“…Some researchers have established reaction mechanisms by combining model-fitting and model-free methods. 26 However, researchers ignore the changes in the reaction model during pyrolysis. Casal et al divided the coal pyrolysis process into four stages by the Coats−Redfern method, assuming the reaction model is the first-order reaction model.…”

Section: Introductionmentioning

confidence: 99%

“…The master plots and model-fitting methods (e.g., Coats–Redfern) were used to determine the kinetic model. Some researchers have established reaction mechanisms by combining model-fitting and model-free methods . However, researchers ignore the changes in the reaction model during pyrolysis.…”

Section: Introductionmentioning

confidence: 99%

Study on Pyrolysis Kinetics, Behavior, and Mechanism of Organic-Rich Tuffaceous Mudstones Based on Thermogravimetric Analysis

Li,

Zhou,

et al. 2023

ACS Omega

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Organic-rich tuffaceous mudstones are important oil and gas resources. The systematic study of the pyrolysis kinetics and characteristics can not only provide the theoretical basis for the rational development and efficient utilization of these rocks but also is an important complement to the theoretical research on the pyrolysis kinetics of organic-rich rocks. In this study, the pyrolysis kinetics, behavior, and mechanism of the organic-rich tuffaceous mudstone in the Junggar Basin were clarified by thermogravimetric analysis. The organic structure and mineral composition were identified by Rock-Eval, Fourier transform infrared (FTIR), and X-ray diffraction (XRD). The results indicated that the mudstone could be described as a type II kerogen with good hydrocarbon generation potential. The mudstone included up to 80.7% quartz, which is associated with Carboniferous volcanic activity. Four isoconversional methods were used to evaluate the activation energies. A novel and simplified method was proposed to separate the pyrolysis processes using the Coats−Redfern method based on the differences in reaction models and activation energies. The pyrolysis processes were divided into four stages, and the reaction models of each stage were preliminarily clarified. The reaction models were further modified by the accommodation function The results showed the kinetic parameters, and the reaction models of each stage were significantly different. Moreover, the obtained kinetic parameters and optimal reaction models can well characterize the pyrolysis processes and mechanism of the tuffaceous mudstone. The results of thermogravimetric-FTIR (TG-FTIR) indicated that the main pyrolysis hydrocarbon volatiles were methane, C 2+ aliphatic hydrocarbons, and aromatics. And the types and yields of pyrolysis volatiles differed at each stage.

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Kinetic parameters estimation and reaction model modification for thermal degradation of Beizao oil shale based on thermogravimetric analysis coupled with deconvolution procedure

Cited by 19 publications

References 48 publications

Simulation of the Two-Stage Pyrolysis Process of Mixed Waste Plastics

Simulation of the Two-Stage Pyrolysis Process of Mixed Waste Plastics

The kinetic models analyses of hydrogenated natural rubber during non‐isothermal degradation process

Study on Pyrolysis Kinetics, Behavior, and Mechanism of Organic-Rich Tuffaceous Mudstones Based on Thermogravimetric Analysis

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