Analysis of coals and biomass pyrolysis using the distributed activation energy model

Li, Zhengqi; Liu, Chunlong; Chen, Zhichao; Qian, Juan; Zhao, Wei; Zhu, Qunyi

doi:10.1016/j.biortech.2008.07.032

Cited by 71 publications

(39 citation statements)

References 16 publications

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“…The linear nature of the plot of ln k 0 against E in Figure 5b confirms the validity of the assumed relationship. This is also in agreement with the observations of Li et al 28 during the study on corn stalk pyrolysis. tar through homogeneous and heterogeneous reactions beyond this period at each axial grid position.…”

Section: Pyrolysis Kinetics Under Nonisothermal Conditionsupporting

confidence: 94%

Mathematical Modeling of a Semibatch Pyrolyser for Sesame Oil Cake

Sarkar

Mondal

Chowdhury

2014

Ind. Eng. Chem. Res.

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The present study deals with slow pyrolysis of sesame oil cake in an isothermally operated 50 mm diameter and 640 mm long semibatch pyrolyser in the temperature range of 673−1173 K. Under isothermal condition, a lumped parameter model has been used to determine the kinetic parameters for degradation of solid reactant and formation of volatile and char. The iso-conversional kinetics applicable for DAEM (distributed activation energy model) processes have also been determined for pyrolysis of sesame oil cake under nonisothermal conditions based on the thermogravimetric analyses data at different heating rates. The activation energies at different conversion almost follow a Gaussian distribution. On the basis of presently determined lumped kinetic parameters and the literature data for secondary pyrolysis kinetics, a mathematical model has been developed. The model can predict the time histories of unreacted solid, char, CO, H 2 , CO 2 , CH 4 and condensable pyro-oil. Simulated predictions have been compared with the experimental results satisfactorily.

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Section: Pyrolysis Kinetics Under Nonisothermal Conditionsupporting

confidence: 94%

Mathematical Modeling of a Semibatch Pyrolyser for Sesame Oil Cake

Sarkar

Mondal

Chowdhury

2014

Ind. Eng. Chem. Res.

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“…Around100 decomposition reactions take place in lumped kinetic model, which would be approaching the distributed activation kinetic model. DAEM is also used for the description of thermal decomposition of fossil fuels and other thermally degradable substances [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Kinetic Parameters for the Thermal Decomposition of Forest Waste Using Distributed Activation Energy Model (DAEM)

Dhaundiyal

Tewari

2017

Environmental and Climate Technologies

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Abstract-The purview of paper pivoted around the pyrolysis decomposition of forest waste (pine needle litter) by thermogravimetric analysis (TGA). Experiments were carried out in the presence of Nitrogen atmosphere. The experimental data was compared with those obtained by numerical solution of distributed activation energy model (DAEM). Asymptotic expansion is adopted to evaluate the pre-exponential factor, mean activation energy and variance. The correction factor Bi has been invoked to describe accurately the differential thermogravitmeric curves of thermal decomposition of pine needles.

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“…They used their method to describe the pyrolysis of several kinds of coal. In the last years, this procedure has been thoroughly employed to analyze the kinetics of pyrolysis of different samples of coal [17,18], charcoal [19], oil shale [20], polymers [21], medical waste [22], and biomass [23 26].…”

Section: Introductionmentioning

confidence: 99%

Analysis of biomass and sewage sludge devolatilization using the distributed activation energy model

Soria-Verdugo

García-Hernando

García-Gutiérrez

et al. 2013

Energy Conversion and Management

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Abstract:The thermal decomposition of biomass (pine pellets) and sewage sludge was studied using thermogravi metric analysis under an inert atmosphere and the Distributed Activation Energy Model (DAEM) was employed. The activation energy and the frequency factor that characterize the kinetics were determined for both samples. A simplification of the process for prediction of devolatilization curves was proposed, evaluating its validity for both cases. The simplified method was found to combine both simplicity and low deviations with experimental data.

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Analysis of coals and biomass pyrolysis using the distributed activation energy model

Cited by 71 publications

References 16 publications

Mathematical Modeling of a Semibatch Pyrolyser for Sesame Oil Cake

Mathematical Modeling of a Semibatch Pyrolyser for Sesame Oil Cake

Kinetic Parameters for the Thermal Decomposition of Forest Waste Using Distributed Activation Energy Model (DAEM)

Analysis of biomass and sewage sludge devolatilization using the distributed activation energy model

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