Finding order in coal pyrolysis kinetics

Solomon, P.R.; Hamblen, D.G.

doi:10.1016/0360-1285(83)90012-6

Cited by 72 publications

(37 citation statements)

References 20 publications

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“…The modelled scheme is given in Figure 1. (Solomon, 1983;Reidelbach, 1981) did not appear feasible in the present approach. Here, we have approximately assumed a representative composition of the gases and tars and guess the final yield of fast pyrolysis from the proximate anaIysis of the coal.…”

Section: Modelling Of Coal Combustionmentioning

confidence: 48%

Prediction of Three-Dimensional Flows in Utility Boiler Furnaces and Comparison with Experiments

Görner¹,

Zinser²

1988

Combustion Science and Technology

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The turbulent flow field in large utility boiler furnaces is strongly affected hy heat release from combustion and by the heat extracted from the furnace thrm~gh the boiler tube walls. To descrihe and predict these effects with reasonable engineering accuracy, a mathematical model termed COMpnc has been developed at the University of Stuttgart. The series of codes is based on a finite difference solution of the turbulence-modelled Navier-Stokes equations in axisymmetric and in fully threedimensonal coordinates. Radiative heat transfer is presently predicted using flux method approximatians. A simplified mechanism of pulverized coal c~mbustion is described in a Eulerian framework for both the gaseous and particulate phase. In the present work, validation studies are reported and discussed. The combustion model has been tested for single enclosed flames where detailed measurements were available. Prediction results for three-dimensional furnace flows are compared with \,elocity data from an isothermal perspex model. Finally, the comple[e furnace code has been applied to predict a 300 MW brown coal fired furnace both under isothermal and fully reacting conditions.

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Section: Modelling Of Coal Combustionmentioning

confidence: 48%

Prediction of Three-Dimensional Flows in Utility Boiler Furnaces and Comparison with Experiments

Görner¹,

Zinser²

1988

Combustion Science and Technology

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“…In the computations m, was assumed to equal the cumulative sum ofdm,/df over time subtracted from m,. This approach is moreover only valid over relatively narrow temperature intervals, which also indicates this approach to be incorrect (Anthony et al, 1974;Howard, 1981;Solomon and Hamblen, 1983;Solomon et al, 1986). Saito et al (1987), however, used this model successfully for correlating pyrolysis weight-loss kinetics for single coal particles (radius, 1.21-1.91 mm; weight, 10-40 mg) between 800 and 1,100'C.…”

Section: Kinetic and Model Approachesmentioning

confidence: 99%

Modeling of coal pyrolsis kinetics

Liliedahl

Sjöström

1994

AIChE Journal

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Truls Liliedahl and Krister Sjostrominstitutionen f6r Kemisk Teknologi, Kungl Tekniska Hogskolan, S-100 44, Stockholm, Sweden Four dgjerent coals were instantaneously introduced into a laboratory-scale pyrolysis chamber at various temperatures, and their devolatilization pro files were analyzed with respect to kinetics. The experimental setup consisted of a gas chromatograph ( GC) with a pyrolysis unit, an empty column, and a detector. Detector signals were digitalized and stored for further handling. Normally, 1,024 values were sampled at 250 Hz. For deconvolving the true instantaneous devolatilization from the observed detector response, the residence time distribution was compensatedfor.An empirical model approach is developed to correlate the total devolatilization rates when instantaneously introducing a particle in a constant temperature environment. The model is also extended to pyrolysis application.

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“…They include the following studies: Anthony et al (1974), Badzioch and Hawksley (1970), Eklund et al (1987), Juntgen and van Heek (1970), Juntgen (1984), Kobayashi et al (1977), Seehra and Ghosh (1988), Solomon et al (1982), Solomon and Hamblen (1983), Solomon et al (1986), and Suuberg et al (1978). Nevertheless, uncertainties still exist.…”

mentioning

confidence: 98%

“…Activation energies and frequency factors, for example, tend to be so specific that they sometimes can be looked upon rather as experimental correlation parameters, not as factors reflecting chemical properties. One reason for this may be the uncertainty and diversity of methods used, apart from the complexity of pyrolysis reactions (Solomon and Hamblen, 1983;Solomon et al, 1986).…”

mentioning

confidence: 99%