Diversity of chemical composition and combustion reactivity of various biomass fuels

Qin, Ke; Thunman, Henrik

doi:10.1016/j.fuel.2015.01.047

Cited by 46 publications

(32 citation statements)

References 22 publications

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“…Combustion characteristics such as ignition temperature ( T i ), burnout temperature ( T b ), and the temperature of maximum weight loss ( T max ) can be determined from the normalized weight loss (TG) and the corresponding derivative weight loss (or weight loss rate) (DTG) curves. In this study, intersection method was used for determining T i and T b . Table shows the common combustion parameters of wood sawdust and wood sawdust hydrochar.…”

Section: Resultsmentioning

confidence: 99%

Pyrolysis and combustion characteristics and kinetics of wood sawdust and wood sawdust hydrochar

Kabakcı

2019

Env Prog and Sustain Energy

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This study compares the pyrolysis and combustion characteristics with the kinetics of wood sawdust and its hydrochar. Wood sawdust hydrochar was obtained by the hydrothermal treatment of wood sawdust (biomass/water: 1 g/4 mL) at 220°C, where the residence time was set as 90 min. After hydrothermal carbonization, carbon content and heating value were both increased by 14%. Pyrolysis and combustion of wood sawdust and its hydrochar were performed by thermogravimetric analysis at 10, 20, 30, and 40°C/min. Kissinger–Akahira–Sunose (KAS) method, Friedman method, Flynn–Wall–Ozawa (FWO) method, and Kissinger method were used for analyzing the pyrolysis data. For combustion, only KAS and FWO methods were used to determine the kinetic parameters. As compared to wood sawdust pyrolysis, average activation energy of hydrochar pyrolysis was lower (150.36 kJ/mol by using KAS method, 153.05 kJ/mol by using FWO method). Based on mean activation energies, pyrolysis reaction of hydrochar was more favorable than its combustion. In combustion, average activation energy of hydrochar combustion reaction was higher; indicating that combustion of wood sawdust was more favorable.

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Section: Resultsmentioning

confidence: 99%

Pyrolysis and combustion characteristics and kinetics of wood sawdust and wood sawdust hydrochar

Kabakcı

2019

Env Prog and Sustain Energy

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“…To clearly describe the pyrolysis and combustion processes, the following parameters are defined by thermogravimetic (TG) curves : DTG max : the maximum rate of weight loss during thermal decomposition, indicating combustibility of the sample. DTG max1 and DTG max2 are introduced if there are two peaks in TG profile. T P : the temperature which corresponds to the maximum degradation rate, which is an indicator of reactivity.…”

Section: Experiments and Methodsmentioning

confidence: 99%

Dependency of the combustion behavior of energy grass and three other types of biomass upon lignocellulosic composition

Guan

Zhang

et al. 2017

Env Prog and Sustain Energy

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The combustion characteristics of four kinds of biomass fuels (energy grass, sawdust, corn cob, and walnut shell) are investigated in this article. All the samples are heated from room temperature to 800°C at multiple heating rates of 10, 20, and 30°C/min. The effect of hemicellulose, cellulose, and lignin components on the pyrolysis and combustion processes of energy grass is explored by comparison to those of the other three types of biomass. The hemicellulose and cellulose content of samples could improve the devolatilization performance during biomass combustion. Furthermore, the comprehensive combustion index suggested herein indicates that the combustion performance of energy grass or walnut shell is limited by their high ash content or their low ratio of cellulose to lignin. Kinetic parameters are obtained by combining the isoconversional method (OFW and KAS models) and the method of master‐plots. The apparent activation energy of the devolatilization stage is higher than that of the char oxidization stage, which is mainly influenced by the lignocellulosic composition. © 2017 American Institute of Chemical Engineers Environ Prog, 37: 815–823, 2018

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“…As Qin et al and Alonso‐Marroquín et al. noted, the diversities in pellet shapes and biomass composition must be considered : properties such as particle diameters, bulk densities, and main compounds can affect the aforementioned phenomena.…”

Section: Introductionmentioning

confidence: 99%

“…Those developed movements should sufficiently and precisely recreate the physical phenomena in the bed. As Qin et al and Alonso-Marroquín et al noted, the diversities in pellet shapes and biomass composition must be considered [20][21][22]: properties such as particle diameters, bulk densities, and main compounds can affect the aforementioned phenomena.…”

Section: Introductionmentioning

confidence: 99%

Improving Bed Movement Physics in Biomass Computational Fluid Dynamics Combustion Simulations

et al. 2019

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A detailed description of the first functional new approach to simulate the bed physics in biomass boilers in a Eulerian mathematical framework is presented. In particular, the analysis of the context of the collapse due to gravitational forces, the design of an automated algorithm that is responsible for its simulation under ANSYS‐Fluent, the concrete implementation of this algorithm, and its test with experimental contrasted data are described. The proposed solution can replicate the angle of repose of different fuels in biomass combustion boilers by implementing a series of geometric mechanisms applied to the mesh. The selected approach mainly responds to a computational efficiency requirement; both memory management and execution speed are relevant.

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Diversity of chemical composition and combustion reactivity of various biomass fuels

Cited by 46 publications

References 22 publications

Pyrolysis and combustion characteristics and kinetics of wood sawdust and wood sawdust hydrochar

Pyrolysis and combustion characteristics and kinetics of wood sawdust and wood sawdust hydrochar

Dependency of the combustion behavior of energy grass and three other types of biomass upon lignocellulosic composition

Improving Bed Movement Physics in Biomass Computational Fluid Dynamics Combustion Simulations

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