Thermal Degradation Kinetics and FT-IR Analysis on the Pyrolysis of Pinus pseudostrobus, Pinus leiophylla and Pinus montezumae as Forest Waste in Western Mexico

Flores, José Juan Alvarado; Rutiaga-Quiñones, José Guadalupe; Rodríguez, María Liliana Ávalos; Vera, Jorge Víctor Alcaráz; Valencia, Jaime Espino; Guevara-Martínez, Santiago José; Montesino, Francisco Márquez; Rosas, A.

doi:10.3390/en13040969

Cited by 20 publications

(9 citation statements)

References 68 publications

(78 reference statements)

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“…Using these methods, the thermal kinetic parameters that characterize the thermal degradation process can be estimated. Hence, these widely known mathematical models were used in this study to calculate the activation energy of the thermal degradation process for LPS and LPS/CNPs [ 28 ].…”

Section: Methodsmentioning

confidence: 99%

Kinetic Modeling and Degradation Study of Liquid Polysulfide Resin-Clay Nanocomposite

et al. 2021

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Kinetic modeling and degradation study of liquid polysulfide (LPS)/clay nanocomposite is possible through Ozawa–Flynn–Wall (OFW) and Kissinger methods. Comparing the results of these models with experimental data leads to provide an accurate degradation kinetic evaluation of these materials. To this aim, the morphology and distribution of clay nanoparticles (CNPs) within the LPS matrix were investigated using Field Emission Scanning Electron Microscopy (FESEM) and X-ray diffraction (XRD). To evaluate the interaction between the LPS and the CNPs, the Fourier transform infrared (FTIR) identification was utilized. Furthermore, to investigate the kinetics of degradation, the thermal gravimetric analysis (TGA) and derivative thermogravimetry (DTG) of the samples were used in the nitrogen atmosphere with the help of Kissinger and Ozawa–Flynn–Wall (OFW) models. The characterization results confirmed the homogenous dispersion of the CNPs into the LPS matrix. In addition, the presence of CNPs increased the thermal stability and activation energy (Ea) of the samples at different conversion rates. Moreover, the OFW method was highly consistent with the experimental data and provided an appropriate fit for the degradation kinetics.

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Section: Methodsmentioning

confidence: 99%

Kinetic Modeling and Degradation Study of Liquid Polysulfide Resin-Clay Nanocomposite

et al. 2021

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“…that work on TGA of biomass. 38,39 The correlation coefficient (R 2 ) values for all the linear lines are reported in Table 2. Based on the values retrieved from the plot of various model-free methods, not many plots have R 2 values higher than 0.98.…”

Section: Activation Energymentioning

confidence: 99%

“…Thus, as the activation energy increases, the reaction speed decreases. 39 The conversion at 0.7-0.8 represents the region for…”

Section: Activation Energymentioning

confidence: 99%

Assessment of self‐heating and spontaneous combustion of Napier grass using thermogravimetric analysis

Kunalan,

Wan Ab Karim Ghani,

Mohd Tohir

et al. 2023

Env Prog and Sustain Energy

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Napier grass is a potential solid biofuel that can be used as a renewable energy resource. Nevertheless, its tendency for self‐heating and the subsequent self‐ignition remain unknown, which are common problems in solid fuel. In this work, thermal decomposition characteristics of Napier grass in air and inert conditions were investigated using thermogravimetric analysis (TGA) and the pertinent kinetic parameters were established using model‐free methods. The average activation energy of Napier grass thermal decomposition is 285 and 382 kJ/mol under oxidative and inert conditions, respectively. The linear plot obtained through model‐free methods shows a high linear correlation coefficient at conversion ranges of 0.2–0.7 during combustion and 0.4–0.6 during pyrolysis. The ignition and burnout temperatures were evaluated, and ignition index of Napier grass was established. Average ignition temperature obtained for air was 217°C while 200°C for inert condition. The burnout temperatures between 691 and 984°C were observed. This research facilitates in understanding fire threat posed by tendency of Napier grass to self‐heat and provides valuable information for safe conditions of Napier grass storage and transportation.

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“…Unlike other approaches, such as calorimetry or Van Soest's method [21], which require more time and various special reagents, TGA analysis is fast and reliable. In studies of the effects of heating speed, temperature, and time on the development of thermal degradation reactions and the mechanisms involved in them, TGA analysis is commonly utilized to explore the degradation reactions of lignocellulosic materials and to quantify moisture, volatile matter, and the key kinetic parameters of thermal processes: activation energy (Ea), reaction order (n), and the pre-exponential factor (A) [19,22] that will influence future decisions on bioenergy production [23].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Pyrolysis Kinetic Parameters Based on Various Mathematical Models for More than Twenty Different Biomasses: A Review

et al. 2022

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Today, energy use is an important and urgent issue for economic development worldwide. It is expected that raw material in the form of biomass and lignocellulosic residues will become increasingly significant sources of sustainable energy in the future because they contain components such as cellulose, hemicellulose, lignin, and extractables with high energy-producing potential. It is then essential to determine the behavior of these materials during thermal degradation processes, such as pyrolysis (total or partial absence of air/oxygen). Pyrolyzed biomass and its residual fractions can be processed to produce important chemical products, such as hydrogen gas (H2). Thermogravimetric (TGA) analysis and its derivative, DTG, are analytical techniques used to determine weight loss as a function of temperature or time and associate changes with certain degradation and mass conversion processes in order to evaluate kinetic properties. Applying kinetic methods (mathematical models) to degradation processes permits obtaining several useful parameters for predicting the behavior of biomass during pyrolysis. Current differential (Friedman) and integral (Flynn–Wall–Ozawa, Kissinger–Akahira–Sunose, Starink, Popescu) models vary in their range of heating speeds (β) and degree of advance (α), but some (e.g., Kissinger’s) do not consider the behavior of α. This article analyzes the results of numerous kinetic studies using pyrolysis and based on thermogravimetric processes involving over 20 distinct biomasses. The main goal of those studies was to generate products with high added value, such as bio-char, methane, hydrogen, and biodiesel. This broad review identifies models and determines the potential of lignocellulosic materials for generating bioenergy cleanly and sustainably.

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Thermal Degradation Kinetics and FT-IR Analysis on the Pyrolysis of Pinus pseudostrobus, Pinus leiophylla and Pinus montezumae as Forest Waste in Western Mexico

Cited by 20 publications

References 68 publications

Kinetic Modeling and Degradation Study of Liquid Polysulfide Resin-Clay Nanocomposite

Kinetic Modeling and Degradation Study of Liquid Polysulfide Resin-Clay Nanocomposite

Assessment of self‐heating and spontaneous combustion of Napier grass using thermogravimetric analysis

Analysis of Pyrolysis Kinetic Parameters Based on Various Mathematical Models for More than Twenty Different Biomasses: A Review

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