Kinetic modelling of waste wood devolatilization during pyrolysis based on thermogravimetric data and solar pyrolysis reactor performance

Sobek, Szymon; Werle, Sebastian

doi:10.1016/j.fuel.2019.116459

Cited by 109 publications

(33 citation statements)

References 25 publications

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“…Extensive amount of work has been done so far on numerical modelling of the gasification in the entrained flow reactors, working with coal [38]. Much less work was dedicated to gasification of biomass [39], although the existence of an extensive amount of pyrolysis kinetics data, using a multitude of different models shall not be overlooked [40][41][42][43]. Nonetheless, only scarce amount of work has been dedicated to numerical models of gasification of torrefied biomass in a fixed bed.…”

Section: Introductionmentioning

confidence: 99%

Influence of Torrefaction and Pelletizing of Sawdust on the Design Parameters of a Fixed Bed Gasifier

et al. 2020

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Gasification of biomass in fixed bed gasifiers is a well-known technology, with its origins dating back to the beginning of 20th century. It is a technology with good prospects, in terms of small scale, decentralized power co-generation. However, the understanding of the process is still not fully developed. Therefore, assessment of the changes in the design of a gasifier is typically performed with extensive prototyping stage, thus introducing significant cost. This study presents experimental results of gasification of a single pellet and bed of particles of raw and torrefied wood. The procedure can be used for obtaining design parameters of a fixed bed gasifier. Results of two suits of experiments, namely pyrolysis and CO2 gasification are presented. Moreover, results of pyrolysis of pellets are compared against a numerical model, developed for thermally thick particles. Pyrolysis time, predicted by model, was in good agreement with experimental results, despite some differences in the time when half of the initial mass was converted. Conversion times for CO2 gasification were much longer, despite higher temperature of the process, indicating importance of the reduction reactions. Overall, the obtained results could be helpful in developing a complete model of gasification of thermally thick particles in a fixed bed.

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Section: Introductionmentioning

confidence: 99%

Influence of Torrefaction and Pelletizing of Sawdust on the Design Parameters of a Fixed Bed Gasifier

et al. 2020

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“…The mechanism of solid-state processes, which is multistep processes with different rates, is quite complex to be approached by the simple kinetic model [21]. This work presents the kinetic study of Ulin wood residues pyrolysis.…”

Section: Introductionmentioning

confidence: 99%

Kinetic Study of Pyrolysis of Ulin Wood Residue using Thermogravimetric Analysis

Widiyannita¹,

Pradana²,

Cahyono³

et al. 2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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Biomass as a renewable and sustainable energy source is expected to solve the energy crisis problem. Ulin wood residues as a biomass source could be converted into bioenergy utilizing the pyrolysis process since its primary component is a hydrocarbon. Pyrolysis process has received many interests for bioenergy production from biomass, elevating the importance of the kinetic study of pyrolysis. The kinetic study of pyrolysis is related to the beginning stage behavior of gasification and combustion process. The kinetic mechanism of pyrolysis is analyzed using Thermogravimetry Analysis (TGA), by estimating the mass decomposition at solid-state that shows TG and DTG curve. The TG and DTG curves were analyzed to see the effect of heating rate on decomposition temperature. This experiment was performed by heating 10 mg of Ulin wood sawdust from ambient temperature to 1473 K utilizing 100 mL/min of nitrogen (N 2) gas as carrier gas at various heating rate: 5, 10, 20, and 50 K/min. The kinetic parameters were determined by applying the iso-conversional methods, the Kissinger-Akahira-Sunose (KAS) and Flynn-Wall-Ozawa (FWO) methods, and then compared the results with the non iso-conversional method, using Kissinger method. The average value of activation energy calculated using the KAS and FWO methods are 253.5514 and 245.2512 kJ/mol, with the average value of constant coefficient square (R 2) of 0.9848 and 0.9859, respectively, whereas the calculated activation energy and R 2 using the Kissinger method are 237.4478 kJ/mol and 0.8520, respectively.

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“…Figures 13 and 14 clearly illustrate for all the considered cases of catalyst loading and temperature that the developed models based predicted results are in good agreement with the experimental results. The Fisher‐Snedecor test (ie, F‐test) is also performed to examine the correctness of developed kinetic models 43 . The statistical analysis results are reported in Table 4.…”

Section: Resultsmentioning

confidence: 99%

Kinetic modeling of liquid‐phase esterification of acetic acid withn‐butanol using heterogeneous poly(o‐methylenep‐toluene sulfonic acid) as catalyst

Nagveni

Kamesh

Rani

2020

Int J of Chemical Kinetics

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Liquid-phase esterification of acetic acid with n-butanol to n-butyl acetate is studied in the presence of a polymeric catalyst, that is, poly(o-methylene ptoluene sulfonic acid). The performance of the proposed catalyst is compared with the other commercially available homogeneous and heterogeneous catalysts in terms of its activity. Experiments are conducted in an isothermal stirred batch reactor to study the effects of speed of agitation, temperature, and catalyst loading on the rate of reaction. A concentration-based pseudohomogeneous (PH) kinetic model and activity-based kinetic models such as PH, Eley-Rideal (ER), and Langmuir-Hinselwood-Hougen-Watson (LHHW) models are developed. All the models considered in this study resulted in similar percentage deviation close to 4%. Further, kinetic models are validated through additional experiments, and it is observed that the simple concentration-based PH model is able to predict experimental data with least deviation compared to activity-based PH, ER, and LHHW models. The developed kinetic models are also tested using the Fisher-Snedecor test (F-test) and are found to be acceptable. By incorporating both modeling data and validation data, the overall absolute average deviations of different models are found to be concentration-based PH model 4.354%, activity-based PH model 5.006%, ER I model 5.189%, ER II model 5.403%, ER III model 5.437%, and LHHW model 6.104%, illustrating the superiority of the simple concentration-based PH model. K E Y W O R D S activity-based model, concentration-based model, kinetic modeling, n-butyl acetate, poly(omethylene p-toluene sulfonic acid) 822

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Kinetic modelling of waste wood devolatilization during pyrolysis based on thermogravimetric data and solar pyrolysis reactor performance

Cited by 109 publications

References 25 publications

Influence of Torrefaction and Pelletizing of Sawdust on the Design Parameters of a Fixed Bed Gasifier

Influence of Torrefaction and Pelletizing of Sawdust on the Design Parameters of a Fixed Bed Gasifier

Kinetic Study of Pyrolysis of Ulin Wood Residue using Thermogravimetric Analysis

Kinetic modeling of liquid‐phase esterification of acetic acid withn‐butanol using heterogeneous poly(o‐methylenep‐toluene sulfonic acid) as catalyst

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