A discrete element method-based approach to predict the breakage of coal

Gupta, Varun; Sun, Xin; Xu, Wei; Sarv, Hamid; Farzan, Hamid

doi:10.1016/j.apt.2017.07.019

Title: A discrete element method-based approach to predict the breakage of coal

Journal Article · Sat Aug 05 00:00:00 EDT 2017 · Advanced Powder Technology

DOI:https://doi.org/10.1016/j.apt.2017.07.019· OSTI ID:1390569

Gupta, Varun ^[1]; Sun, Xin ^[1]; Xu, Wei ^[1]; Sarv, Hamid ^[2]; Farzan, Hamid ^[2]

Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Advanced Computing Mathematics and Data Division
The Babcock and Wilcox Company, Barberton, OH (United States)

Pulverization is an essential pre-combustion technique employed for solid fuels, such as coal, to reduce particle sizes. Smaller particles ensure rapid and complete combustion, leading to low carbon emissions. Traditionally, the resulting particle size distributions from pulverizers have been determined by empirical or semi-empirical approaches that rely on extensive data gathered over several decades during operations or experiments, with limited predictive capabilities for new coals and processes. This work presents a Discrete Element Method (DEM)-based computational approach to model coal particle breakage with experimentally characterized coal physical properties. The effect of select operating parameters on the breakage behavior of coal particles is also examined.

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Research Organization:: Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-76RL01830; AC05-00OR22725

OSTI ID:: 1390569

Alternate ID(s):: OSTI ID: 1394622; OSTI ID: 1549810

Journal Information:: Advanced Powder Technology, Vol. 28, Issue 10; ISSN 0921-8831

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

Citation Metrics:

Cited by: 13 works

Citation information provided by
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