Evaluation of Coal Burnout Prediction Model "FC-CBK" by using an Electrically Heated Drop-Tube Furnace

概要

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A model called "FC-CBK" is developed to predict the coal burnout profiles in a lot of furnaces. "FC-CBK" combines FLASHCHAIN, one of the network depolymerization devolatilization models, with CBK8, a mechanism for char oxidation that quantitatively represents the latest stages of burnout. Whereas these mechanisms involve numerous reaction rate constants and physical properties, all the parameters in "FC-CBK" may be specified from the coal's proximate and ultimate analyses.<BR>In this study, an evaluation of "FC-CBK" was carried out to compare the predictions with the experimental data in an electrically heated drop-tube furnace. Firstly, the particle temperature histories in this furnace under various conditions were calculated by using a computational fluid dynamic code. Next, the obtained temperature histories were given to "FC-CBK" as the input data of the furnace conditions. Finally, the coal burnout profiles of eight coals were predicted by "FC-CBK" with the above-mentioned procedure. As a result of these verifications, we found "FC-CBK" can predict the accurate coal burnout profiles with giving the particle temperature histories.<BR>The advanced features describing the late stages of burnout are hereby validated in conceptual terms, while the estimation of initial char reactivities still represents a major hurdle to any predictive capabilities based on only the basic coal analyses.
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