Evaluating the accuracy of the Distributed Activation Energy Model for biomass devolatilization curves obtained at high heating rates

Soria-Verdugo, Antonio; García-Gutiérrez, L.M.; Blanco-Cano, L.; García-Hernando, N.; Ruiz-Rivas, U.

doi:10.1016/j.enconman.2014.06.074

Cited by 50 publications

(28 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(14) and Eq. (16) respectively. And then the initial contributed fraction (f k,0 ) of each hypothetical pseudo component can be estimated from Eq.…”

Section: Kinetics Parametersmentioning

confidence: 95%

“…(14) and Eq. (16) to obtain the E x and A x for EL, EB and ESD pyrolysis. f k,0 have been calculated from Eq.…”

Section: Kinetics Parametersmentioning

confidence: 99%

“…Such activation energy is thought to be not a constant value but obeys a kind of distributed probability density function (PDF) such as Gaussian distribution [11][12][13]. Many attractive methods can be used to treat the DAEM calculation, such as fitting method [14,15], iso-conversional method [16] and discretization method [17][18][19][20]. Among these methods, the discrete DAEM which discretize the infinity first-order reaction as many (but finite) parallel first-order reactions is even better for the DAEM calculation [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Pyrolysis behaviors and kinetic studies on Eucalyptus residues using thermogravimetric analysis

Chen

Zhu

Wang

et al. 2015

Energy Conversion and Management

102

View full text Add to dashboard Cite

“…(14) and Eq. (16) respectively. And then the initial contributed fraction (f k,0 ) of each hypothetical pseudo component can be estimated from Eq.…”

Section: Kinetics Parametersmentioning

confidence: 95%

“…(14) and Eq. (16) to obtain the E x and A x for EL, EB and ESD pyrolysis. f k,0 have been calculated from Eq.…”

Section: Kinetics Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Pyrolysis behaviors and kinetic studies on Eucalyptus residues using thermogravimetric analysis

Chen

Zhu

Wang

et al. 2015

Energy Conversion and Management

102

View full text Add to dashboard Cite

“…Several other researchers have used one of the various forms of the distributed activation energy model [22,23,27]. One strength of the DAEM is that it has been shown to describe devolatilization rates very well.…”

Section: Distributed Activation Energymentioning

confidence: 99%

A comparison of simple global kinetic models for coal devolatilization with the CPD model

Richards

Fletcher

2016

Fuel

View full text Add to dashboard Cite

Simulations of coal combustors and gasifiers generally cannot incorporate the complexities of advanced pyrolysis models, and hence there is interest in evaluating simpler models over ranges of temperature and heating rate that are applicable to the furnace of interest. In this paper, six different simple model forms are compared to predictions made by the Chemical Percolation Devolatilization (CPD) model. The model forms included three modified one-step models, a simple two-step model, and two new modified two-step models. These simple model forms were compared over a wide range of heating rates (5  10 3 K/s to 10 6 K/s) at final temperatures up to 1600 K. Comparisons were made of total volatiles yield as a function of temperature, as well as the ultimate volatiles yield.Advantages and disadvantages for each simple model form are discussed. A modified two-step model with distributed activation energies seems to give the best agreement with CPD model predictions (with the fewest tunable parameters).

show abstract

“…The DAEM assumes that the decomposition mechanism requires many reactions, which have different activation energies that show the changes in the bond strengths of the species and are irreversible, independent, parallel, and first order. DAEM is especially compatible with the experimental data, which was obtained under low heating temperature conditions in the range of 5–40°C/min. For this reason, heating rates of 5, 10, and 20°C/min were used in this study.…”

Section: Kinetic Modellingmentioning

confidence: 99%

An experimental investigation and kinetic‐modeling study of the phase transformation behavior of glycine in various carboxylic acids

Polat

Sayan

2019

Asia-Pacific J Chem Eng

View full text Add to dashboard Cite

In this study, the phase transformation behavior from β-glycine (Gly) to α-Gly was examined in the presence of three different carboxylic acid additives (acetic, tartaric, and citric acid) at three different concentrations. Initially, the structure, morphology, shape parameters, surface functional groups, and elemental properties of the crystals prepared from the additive-containing and nonadditive media were investigated. The characterization results showed that when compared with the pure medium, both the duration of the phase transformation and physicochemical properties of the α-Gly crystals were altered in the presence of the three carboxylic acid additives studied. Subsequently, the experimental data obtained from the thermogravimetric analysis of the α-Gly samples obtained from the additive containing and nonadditive media were modeled using a simplified DAEM kinetic model. On the basis of the data obtained from the distributed activation energy model, the average activation energy for the Gly crystals obtained from the pure medium was calculated to be 90.8 kJ/mol. The value for the crystals obtained from the acetic acidcontaining medium was 104.0 higher than that found for the crystals from the pure medium and other two other additives studied. Besides kinetic analysis, thermogravimetric analysis/Fourier-transform infrared spectroscopy and elemental analysis confirmed that the carboxylic acid was adsorbed on the crystal's surface. The amount of acetic, tartaric, and citric acid adsorbed was 2.97, 2.38, and 1.72 mg/g, respectively.

show abstract

Evaluating the accuracy of the Distributed Activation Energy Model for biomass devolatilization curves obtained at high heating rates

Cited by 50 publications

References 28 publications

Pyrolysis behaviors and kinetic studies on Eucalyptus residues using thermogravimetric analysis

Pyrolysis behaviors and kinetic studies on Eucalyptus residues using thermogravimetric analysis

A comparison of simple global kinetic models for coal devolatilization with the CPD model

An experimental investigation and kinetic‐modeling study of the phase transformation behavior of glycine in various carboxylic acids

Contact Info

Product

Resources

About