Non-isothermal kinetic analysis of the combustion of argan shell biomass

Yan

et al. 2021

IJERPH

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.

Section: Resultsmentioning

confidence: 99%

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

Yan

et al. 2021

IJERPH

“…In the FWO method, the reaction model P3 has a best agreement with the experimental result for hemicellulose, the reaction model P2 has a best agreement with the experimental result for BM, and the reaction model P4 has a best agreement with the experimental result for BHR, lignin, and cellulose. The plot of log β against 1/ T represents a linear relation with the various heating rates at the same conversion level (α) …”

Section: Resultsmentioning

confidence: 99%

“…The plot of log β against 1/T represents a linear relation with the various heating rates at the same conversion level (α). 36 E α was calculated from the slope of the regression line (slope = 1.052E α /R), while the pre-exponential factor (A) was deduced from the intercept, which is equal to log(AE α /R).…”

Section: Energy and Fuelsmentioning

confidence: 99%

Comparison of Combustion Kinetics of the Biomass Hydrolysis Residue with Raw Biomass Materials

et al. 2019

The biomass hydrolysis residue (BHR) is the residue consisting of mainly lignin after the biomass-to-ethanol process. A combustion kinetic comparison of the biomass material (BM), BHR, and three main components (lignin, cellulose, and hemicellulose) is studied by thermogravimetry (TG) using the Kissinger method and Flynn–Wall–Ozawa (FWO) method under five different heating rates. The results show that the ignition temperature (T i) and burnout temperature (T b) of BHR are both higher than those of BM. BM burns more sufficient than BHR because it contains more fixed carbon content. The results show that the activation energy calculated by the Kissinger method for the corn cob hydrolysis residue (CCHR), corn straw hydrolysis residue (CSHR) and corn cob (CC) is 188.08, 192.76 and 205.76 kJ/mol, respectively. The results calculated by the FWO method show that, when the mass conversion (α) is small, E BHR > E BM, as α increases, E of BM gradually exceeds that of BHR. This could explain the phenomenon why BHR ignites earlier than BM but burns out later than BM. The power law (P4 and P2) reaction models are proper to describe the experimental behavior of BHR and BM, respectively. This paper also verifies that, on the premise of an accurate measurement of the three main components in BM and BHR, the TG curves and kinetic parameters of BM and BHR can be predicted.

IOP Conf. Ser.: Earth Environ. Sci.

“…In this study, two general isoconversion methods are performed by Kissinger-Akahira-Sunose (KAS) and Flynn-Wall-Ozawa (FWO) [26]. According to [30], the KAS and FWO method can be selected and applied to determine TG/DTG data. The advantage of KAS and FWO methods is that the calculated activation energy (Ea) is allowed without any prior knowledge f the analytical form of the conversion function (fa) [31].…”

Section: Hemicellulose Vh + (1-vh) Volatiles Cellulose Vc + (1-vc) Volatiles (1) Lignin VI + (1-vi) Volatilesmentioning

confidence: 99%

Thermogravimetric analysis kinetic study of Spirulina platensis residue pyrolysis

Jamilatun

Aktawan

Budiman

et al. 2022

Bio-oil from microalgae pyrolysis has excellent potential to be developed as a renewable, sustainable, and environmentally friendly energy fuel. Using pyrolysis technology to use the solid waste from microalgae extraction of spirulina platensis as an energy source is a solution for pollution due to biomass extraction. The solid residue is known as Spirulina Platensis Residue (SPR). SPR pyrolysis will produce liquid fuel (bio-oil), gas, and biochar. This paper discusses the study of the pyrolysis kinetics of SPR with Thermogravimetric analysis (TGA) by flowing nitrogen, the settlement method using Kissinger - Akahira - Sunose (KAS) and Flynn -Wall - Ozawa (FWO). The samples were heated at a temperature ranging from 30°C to 1000°C with three different heating levels, namely 10, 30, and 50°C/min yang injected 20 mL/min Nitrogen (N2). The results obtained from the thermal decomposition process show three main stages, namely dehydration, active and passive pyrolysis. The activation energy (Ea) and the pre-exponential factor (A) obtained by the KAS method were around 42.241 kJ/mol, 51.290 kJ/mol, 54.556 kJ/mol, and 61.604 kJ/mol with conversion of 0.2%, 0.3%, 0.4%, while the estimation of activation energy from FWO 48.963 kJ/mol, 58.107 kJ/mol, 61.498 kJ/mol, and 68.457 kJ/mol with conversion of 0.2%, 0.3%, 0.4%, and 0.5% respectively. the kinetic parameter can be described by using this method. The experimental results show that the kinetic parameters obtained from the two methods are slightly different. However, the KAS and FWO methods are quite efficient in explaining the mechanism of the degradation reaction.