2013
DOI: 10.1021/ef401649j
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Comparison of Superheated Steam and Air Fluidized-Bed Drying Characteristics of Victorian Brown Coals

Abstract: Brown coals represent a large resource for Victoria, with reserves of over 500 years at the current rate of consumption. However, its high moisture content (∼60%) impedes its utilization in an efficient manner. Information on drying kinetics of these coals is still scarce, affecting the development of economic and efficient drying technology. This experimental and modeling study presents a comparison of the drying kinetics between steam fluidized-bed drying and air fluidized-bed drying of three Victorian brown… Show more

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Cited by 28 publications
(10 citation statements)
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“…Therefore, modeling studies in the literature similar to this study can be compared. Tahmasebi [22][23][24]. Midilli model fitted well to their results.…”
Section: Dependency Between Drying Parameters and Coefficients Of Wansupporting
confidence: 53%
See 2 more Smart Citations
“…Therefore, modeling studies in the literature similar to this study can be compared. Tahmasebi [22][23][24]. Midilli model fitted well to their results.…”
Section: Dependency Between Drying Parameters and Coefficients Of Wansupporting
confidence: 53%
“…Thin-layer drying models have been adopted to coal drying in a few studies [21][22][23][24]. Pickles et al investigated microwave drying of a lowrank sub-bituminous coal [21].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…A steam fluidized bed dryer (SFBD) on a commercial scale has been developed recently in Germany, [2] and a pilot dryer using pressurized steam also has been constructed. [3] While the drying characteristics of lignite in an air fluidized bed dryer have been studied, [4][5][6][7] available information on steam fluidized bed drying is limited despite continuing dryer research and development. Additionally, the behavior of single lignite particles, which is fundamental to comprehending the drying processes, has been reported only for particles 10 mm or larger, [8,9] although sizes are assumed to be less than 10 mm in an actual process.…”
Section: Introductionmentioning
confidence: 99%
“…However, there is not much study on this issue. The thin-layer drying models and the neural network methods were applied to estimate the drying curve [23][24][25][26][27][28][29]. The performance of the used models and methods seem so satisfactory.…”
Section: Introductionmentioning
confidence: 99%