Analytical Expressions for the Mixed-Order Kinetics Parameters of TL Glow Peaks Based on the two Heating Rates Method

Weight loss and heat flow during heating process of municipal solid waste incineration (MSWI) fly ash were investigated through the DSC-DTG experiment carried out from 40°C°C to 1400°C°C, with different heating rates (5°C/min, 10°C°C/min, 20°C°C/min) and different atmosphere (N2, Air). Two main weight loss peaks were found at 800°C°C-1000°C°C and 1000°C°C-1200°C0°C for three different samples. Weight loss ingredients were analyzed by comparing the difference of components between fly ash and slag. Then Kinetics parameters of fly ash melting were acquired by Numerical Solution using a C++ program.Introduction

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Influence of Thermal and Morphological Behaviour on Biomass Waste Materials during Pyrolysis

E3S Web of Conferences ◽

10.1051/e3sconf/202132101005 ◽

2021 ◽

Vol 321 ◽

pp. 01005

Author(s):

Swapan Suman ◽

Santosh Kumar Rai ◽

Anand Mohan Yadav ◽

Awani Bhushan ◽

Nomendra Tomar ◽

...

Keyword(s):

Reaction Model ◽

Heating Rates ◽

Nitrogen Gas ◽

Thermo Gravimetric ◽

Sem Images ◽

Biomass Waste ◽

Kinetics Parameters ◽

Biomass Feedstocks ◽

Different Types ◽

Pyrolysis Of Biomass

Aim of this study to investigate the thermal and morphological behaviour of different types of biomass feedstock. For investigation of thermal behaviour we used thermo-gravimetric (TG) analysis and derivative thermo-gravimetric (DTG) analysis. The biomass feedstocks were conceded out under vigorous conditions using nitrogen gas at specific heating rates to gradient the temperature from 25°C to 1000°C. The derivative thermo-gravimetric (DTG) results show that thermal decomposition on these feedstocks. First-order reaction model were used to determine the kinetics parameters for the pyrolysis of biomass wastes. This study used Field Emission Scanning Electron Microscopy (FE-SEM) to observe surface morphology properties of the different biomass wastes. The FE-SEM images showed that clearly retained the fibrous structures in the biomass wastes and were rich in macro-pores.

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Research on TG-DTG Analysis and Combustion Kinetics Characteristic of Biomass Fly Ash and Ash

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.130-134.396 ◽

2011 ◽

Vol 130-134 ◽

pp. 396-400 ◽

Cited By ~ 1

Author(s):

Jun Jiao Zhang ◽

Xu Ming Zhang ◽

Da Long Jiang ◽

Yuan Fang Zhao ◽

Zhi Fei Zhang ◽

...

Keyword(s):

Weight Loss ◽

Fly Ash ◽

Power Plant ◽

Power Plants ◽

Kinetic Equations ◽

Weight Loss Curve ◽

Heating Rates ◽

Kinetics Parameters ◽

Fuel Burn ◽

Biomass Fly Ash

The fly ash and ash of different biomass power plants are selected as research objects, of which the combustion characteristics are studied. At the heating rates of 50°C/min, at the final reaction temperature of 900°C, and under the condition of air as carrier gas, weight loss curve and weight loss rate curve are analyzed respectively. TG, DTG curves of fly ash and ash from different power plant are gained, different combustion conditions are studied, and combustion kinetic equations of different biomass fly ash and ash are established, kinetics parameters are obtained by the Coats-Redfern method. Besides, combustion condition and reburning feasibility of different biomass fly ash and ash are analyzed, which provide a theoretical support for biomass power plant operation, such as improving their fuel burn rate.

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Thermo-kinetics of Forest Waste Using Model-Free Methods

Universitas Scientiarum ◽

10.11144/javeriana.sc24-1.tofw ◽

2019 ◽

Vol 24 (1) ◽

pp. 1-31 ◽

Cited By ~ 2

Author(s):

Alok Dhaundiyal ◽

Abdulrahman Th Mohammad ◽

Toth Laszlo

Keyword(s):

Thermal Decomposition ◽

Kinetic Parameters ◽

Frequency Factor ◽

Isoconversional Methods ◽

Pine Needles ◽

Kissinger Method ◽

Heating Rates ◽

Pinus Roxburghii ◽

Kinetics Parameters ◽

Model Free

Thermal behaviour of pine needles (Pinus Roxburghii) is examined through a thermogravimetry technique. The dried samples of pine needles undergo the non isothermal decomposition at temperature range of 308 - 1173 K. The heating rates used for experimental purposes are: 5 °C min-1, 10 °C min-1 and 15 °C min-1. Kinetic parameters of thermal decomposition reactions of pine needles are obtained through the model-free schemes. The estimated values of activation energy and frequency factor derived from Kissinger method are 132.77 kJ mol-1 and 13.15 x107 min-1, respectively. Furthermore, the averaged values of the same kinetics parameters retrieved from the isoconversional methods are 82.38 kJ mol-1 and 74.833 kJ mol-1, 25.42 x1013 min-1 and 13.449 x1010 min-1, respectively. Instead of the Flynn-Wall-Ozawa (FWO) and Kissinger-Akahira Sunrose (KAS) schemes, the kinetic parameters derived from the Kissinger method are relatively promising for the thermal decomposition process, since the kinetic parameters are highly affected by intermediate stages and overlapping of the concurrent reaction occurred during pyrolysis.

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TLDECOXCEL: A DYNAMIC EXCEL SPREADSHEET FOR THE COMPUTERISED CURVE DECONVOLUTION OF TL GLOW CURVES INTO DISCRETE-ENERGY AND/OR CONTINUOUS-ENERGY-DISTRIBUTION PEAKS

Radiation Protection Dosimetry ◽

10.1093/rpd/ncz150 ◽

2019 ◽

Vol 187 (2) ◽

pp. 154-163 ◽

Cited By ~ 2

Author(s):

Nikolaos A Kazakis

Keyword(s):

Energy Distribution ◽

Discrete Energy ◽

Deconvolution Analysis ◽

Excel Spreadsheet ◽

Continuous Energy ◽

Mixed Order ◽

User Friendly ◽

Analytical Expressions ◽

User Intervention ◽

Minimal User Intervention

Abstract The present work presents a new user-friendly and dynamic tool, TLDecoxcel, for the computerised curve deconvolution analysis (CCDA) of simple or complex TL glow peaks using Microsoft® Excel. TLDecoxcel can be applied for the fitting of glow curves consisting of discrete-energy peaks (general or mixed order) or continuous-energy-distribution peaks or combination of the above using widely accepted analytical expressions, with minimal user intervention.

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Investigation of pyrolysis kinetics parameters and thermal behavior of thermochemically modified bagasse for bioenergy potential

SN Applied Sciences ◽

10.1007/s42452-021-04345-6 ◽

2021 ◽

Vol 3 (3) ◽

Author(s):

Christiano Bruneli Peres ◽

André Henrique Rosa ◽

Leandro Cardoso de Morais

Keyword(s):

Sugarcane Bagasse ◽

Volatile Matter ◽

Pyrolysis Kinetics ◽

Heating Rates ◽

Kinetics Parameters ◽

Exponential Factor ◽

Other Substances ◽

Textural Parameters ◽

Three Stages ◽

Morphological Differences

AbstractBiomass is considering a source of organic carbon, which can replace fossil resources by using pyrolysis process, therefore an efficient biomass thermal modification technology has been target of so much research. The objective of this work is to study the potential energy of sugarcane bagasse and thermochemically modified bagasse for bioenergy potential for use in heat generation and energy. The thermal analysis was conducted by powder-shaped exposure of the three study samples (SB, AC-1, and AC-2) at three heating rates of (5, 7.5 and 10 °C min−1), it was possible to identify three stages of thermal degradation and study some thermochemical reactions, using two iso-conversional models, Kissinger–Akahira–Sunose (KAS) and Ozawa–Flynn–Wall (OFW) to calculate some kinetic parameters, such as activation energy (Ea) and pre-exponential factor (A). First step was about the devolatilization of volatile matter, moisture, and other substances. Degradation of hemicellulose, cellulose and lignin were shown in a second step. Characterization analyzes, such as SEM–EDX and textural parameters of the samples, show the presence of carbon in samples SB and AC-1. Due to SEM analyzes, morphological differences between the samples are showing as AC-1 and AC-2 samples present a rougher shape with pores, on the other hand, SB sample show a fibrous shape. In conclusion, sugarcane bagasse and thermochemically modified bagasse, show very promising results, for future studies, such as for bioenergy potential.

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Determination of Chemical Kinetic Parameters of Surrogate Solid Wastes

Journal of Engineering for Gas Turbines and Power ◽

10.1115/1.1772407 ◽

2004 ◽

Vol 126 (4) ◽

pp. 685-692 ◽

Cited By ~ 9

Author(s):

D. Jinno ◽

Ashwani K. Gupta ◽

K. Yoshikawa

Keyword(s):

Thermal Decomposition ◽

Heat Flow ◽

Kinetic Parameters ◽

Heating Rate ◽

Chemical Kinetic ◽

Solid Wastes ◽

Heating Rates ◽

Kinetics Parameters ◽

Thermal Decomposition Behavior ◽

Decomposition Behavior

Results on the thermal decomposition behavior of several important components in solid wastes are presented under controlled chemical and thermal environments. Thermogravimetry (TGA) tests were conducted on the decomposition of cellulose, polyethylene, polypropylene, polystyrene and polyvinyl chloride in inert (nitrogen), and oxidative (air) atmospheres. Inert condition tests were performed at heating rates of 5, 10, 30, and 50°C/min while the oxidative condition tests were performed at one heating rate of 5°C/min. Differential scanning calorimetry (DSC) was also used to measure the heat flow into and out of the sample during thermal decomposition of the material. The TGA results on the mass evolution of the materials studied as a function of temperature showed that the cellulose contained a small amount of moisture whereas no moisture was found in the other materials examined. The DSC curve showed the heat flow into and out of the sample during the process of pyrolysis and oxidative pyrolysis. The temperature dependence and mass loss characteristics of materials were used to evaluate the Arrhenius kinetic parameters. The surrounding chemical environment, heating rate, and material composition and properties affect the overall decomposition rates under defined conditions. The composition of these materials was found to have a significant effect on the thermal decomposition behavior. Experimental results show that decomposition process shifts to higher temperatures at higher heating rates as a result of the competing effects of heat and mass transfer to the material. The results on the Arrhenius chemical kinetic parameters and heat of pyrolysis obtained from the thermal decomposition of the sample materials showed that different components in the waste have considerably different features. The thermal decomposition temperature, heat evolved and the kinetics parameters are significantly different various waste components examined. The amount of thermal energy required to destruct a waste material is only a small faction of the energy evolved from the material. These results assist in the design and development of advanced thermal destruction systems.

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A Comparison of Combustion Properties in Biomass–Coal Blends Using Characteristic and Kinetic Analyses

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph182412980 ◽

2021 ◽

Vol 18 (24) ◽

pp. 12980

Author(s):

Yalin Wang ◽

Beibei Yan ◽

Yu Wang ◽

Jiahao Zhang ◽

Xiaozhong Chen ◽

...

Keyword(s):

Raw Materials ◽

Thermal Reaction ◽

Biomass Combustion ◽

Test Results ◽

Corn Straw ◽

Heating Rates ◽

Kinetics Parameters ◽

Combustion Properties ◽

Fwo Method ◽

Better Than

This paper presents comparative research on the combustion of coal, wheat, corn straw (CS), beet residues after extracting sugar (BR), and their blends, coal–corn straw blends (CCSBs), coal–wheat blends (CWBs), and coal–beet residue blends (CBRBs), using thermogravimetric (TG) analysis under 10, 20, 30, 40 and 50 °C/min. The test results indicate that CS and wheat show better combustion properties than BR, which are recommended to be used in biomass combustion. Under the heating rate of 20 °C/min, the coal has the longest thermal reaction time when compared with 10 and 30 °C/min. Adding coal to the biomass can improve the burnout level of biomass materials (BM), reduce the burning speed, and make the reaction more thorough. The authors employed the Flynn–Wall–Ozawa (FWO) method and the Kissinger–Akahira–Sunose (KAS) method to calculate kinetics parameters. It was proven that overall, the FWO method is better than the KAS method for coal, BM, and coal–biomass blends (CBBs), as it provides higher correlations in this study. It is shown that adding coal to wheat and BR decreases the activation energy and makes conversion more stable under particular α. The authors selected a wider range of biomass raw materials, made more kinds of CBB, and conducted more studies on different heating rates. This research can provide useful insights into how to choose agricultural residuals and how to use them.

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Thermal Decomposition Behaviour of Foundry Sand for Cast Steel in Nitrogen and Air Atmospheres

Mathematical Problems in Engineering ◽

10.1155/2020/8121276 ◽

2020 ◽

Vol 2020 ◽

pp. 1-12

Author(s):

Shoukun Chen ◽

Jinjia Zhang ◽

Kaili Xu ◽

Qingwei Xu

Keyword(s):

Thermal Decomposition ◽

Cast Steel ◽

Heating Rates ◽

Kinetics Parameters ◽

Foundry Sand ◽

Characteristic Index ◽

Volatile Release ◽

Thermal Decomposition Behaviour ◽

Decomposition Behaviour ◽

Release Characteristic

Sand casting is the most widely used casting technique, known for ages, even since ancient times. The main goal of this study was to determine the thermal decomposition behaviour of foundry sand for cast steel. We first tested the basic properties of foundry sand, including its proximate analysis, chemical composition, and particle size characteristics; we next monitored the thermal decomposition behaviour of foundry sand for cast steel via simultaneous thermal analysis. We focused on the mass loss of foundry sand for cast steel at different heating rates in nitrogen and air atmospheres. We adopted a novel method to calculate the volatile release characteristic index of foundry sand. The volatile content of foundry sand for cast steel was very low, so the volatile release characteristic index of the sand could not be strictly calculated according to this concept. We calculated the thermal decomposition kinetics parameters of foundry sand, namely, the activation energy and preexponential factor, under kinetics theory. To thoroughly test the fitting effect, we conducted a single-factor analysis of variance on the source of error. The results showed that the independent variable has a significant influence on the dependent variable and that the fitting equation we selected is feasible and effective.

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