Kinetic study of lignocellulosic biomass oxidative pyrolysis

Amutio, Maider; López, Gartzen; Aguado, Roberto; Artetxe, Maite; Bilbao, Javier; Olazar, Martı́n

doi:10.1016/j.fuel.2011.10.008

Cited by 218 publications

(145 citation statements)

References 67 publications

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“…As shown in Fig. 2, the kinetic pathway of oxidation results from two competitive processes: particle ignition dominated by either burning volatile matter (reactions A and B) or heterogeneous combustion (reaction C) (Senneca et al 2002;Amutio et al 2012). The kinetic model proposed in this work is similar to that described in a previous report for the determination of the combustion kinetic parameters of coal/biomass blends .…”

Section: Kinetic Modelssupporting

confidence: 52%

“…An analysis of combustion kinetics could elucidate the mechanism of biomass combustion, further predict the reaction process, and improve the effective utilization rate. Amutio et al (2012; further studied the oxidation and combustion of biomass by setting up six homogeneous reaction dynamics that were well-fitting to the biomass of the combustion process including the decomposition of hemicelluloses, cellulose, and lignin, as well as the combustion of residual carbon. However, the calculation process is very complicated, and the assumptions of homogeneous reactions applied for all components of the combustion process need further analysis.…”

Section: Introductionmentioning

confidence: 99%

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Experiments and Kinetic Modeling for the Oxidative Decomposition of Herbaceous and Wooden Residues

et al. 2016

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The thermal characteristics of Paulownia sawdust (PS), bamboo sawdust (BS), rice lemma (RL), and corncob (CC) in an oxidizing atmosphere were investigated using thermogravimetric analysis. The results indicated that the reaction of biomass oxidative decomposition took place in two main phases: devolatilization and char oxidation. Among various types of biomass, BS was found to possess the highest oxidative decomposition reactivity followed by PS, CC, and RL. Additionally, an increase in heating rate led to a significant improvement of the reactivity. The kinetic modeling of the oxidation reaction with the direct fitting method using the DRPM model showed a satisfied match with the experimental data, and the activation energy of biomass during the devolatilization process was higher than that of the char oxidation process. The activation energy of devolatilization was in the range of 80.7 to 133.8 kJ/mol, while that value of char oxidation fluctuated between 41.7 and 67.5 kJ/mol. In addition, with an increase in the heating rate, a marked compensation effect between the activation energy and pre-exponential factors was observed.

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Section: Kinetic Modelssupporting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

Experiments and Kinetic Modeling for the Oxidative Decomposition of Herbaceous and Wooden Residues

et al. 2016

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“…On one hand, the effect on characteristic temperatures is mainly attributed to the limited rate of heat conduction into the sample caused by the thermal resistance of biomass. The increasing of heating rate leads to a simultaneous decrease of the effect temperature and an increase of the heat effect (Amutio et al, 2012;Damartzis et al, 2011;Sanchez-Silva et al, 2013). Increasing the heating rate signifies that higher temperature is required to set off the decomposition process.…”

Section: Effect Of Heating Ratementioning

confidence: 99%

Characteristics and kinetic studies of Hydrilla verticillata pyrolysis via thermogravimetric analysis

Chen

et al. 2015

Bioresource Technology

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“…This was an expected result because the pressure influenced the oxygen concentration. However, according to Amutio et al (2012), mass loss (ML) is increased by vacuum rather than oxygen concentration since at these low temperatures oxygen does not play an important role. The treatment performed at a higher pressure (330 mbar) produced a higher ML value in the case of black locust, larch, and oak (Fig.…”

Section: Mass Loss As Function Of Temperature Time and Pressurementioning

confidence: 99%

Thermo-vacuum Modification of some European Softwood and Hardwood Species Treated at Different Conditions

Ferrari¹,

Cuccui²,

Allegretti³

2013

BioResources

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Three softwood species, spruce (Picea abies Karst.), fir (Abies alba Mill.), and larch (Larix decidua Mill.), and five hardwood species, oak (Quercus petraea Liebl.), ash (Fraxinus excelsior L.), beech (Fagus sylvatica L.), cherry (Prunus avium L.), and black locust (Robinia pseudoacacia L.) were treated at high temperatures under vacuum conditions with Termovuoto ® technology. All of the wood species were treated at different temperatures (from 160 to 220°C), different times (from 45 minutes to 5 hours), and under different pressure conditions (160, 210, and 330 mbar). The treated material was characterized in terms of mass loss, color changes, and equilibrium moisture content. Results showed dissimilar behavior of various wood species and their different sensitivities to treatment schedules. Consequently, the series of tests performed allowed a detailed characterization of the Termovuoto ® process and its effect on product quality.

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Kinetic study of lignocellulosic biomass oxidative pyrolysis

Cited by 218 publications

References 67 publications

Experiments and Kinetic Modeling for the Oxidative Decomposition of Herbaceous and Wooden Residues

Experiments and Kinetic Modeling for the Oxidative Decomposition of Herbaceous and Wooden Residues

Characteristics and kinetic studies of Hydrilla verticillata pyrolysis via thermogravimetric analysis

Thermo-vacuum Modification of some European Softwood and Hardwood Species Treated at Different Conditions

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