Abstract
Additional moisture added in coal stockpiles due to rain and other climatic processes causes a significant problem worldwide, which leads to not only decrease in the heating value of the coal but also creates an extra efficiency penalty. Therefore, it is important to make some predictions for control of coal moisture within stockpiles after the rainfall. When the rain falls on the stockpile, it either runs off the surface or infiltrates the stockpile. The infiltrated water may evaporate from the surface, drain or stay within the stockpile. The aims of this study (parts 1 and 2) are to describe and compare the changes in coal moisture content following rainfall events. The mechanisms of runoff, infiltration and drainage after rainfall were described in the first paper of this series. In part 2 the influence of coal particle size and ambient conditions on the rate and depth of moisture evaporation within the stockpile is investigated. The laboratory experiments showed cyclic events of adsorbing moisture overnight and desorbing this moisture during the day as part of the coal surface evaporation process. The rate of evaporation from the surface of the fine coal stockpile was faster than the coarse stockpile; however, the coarse stockpile experienced a more efficient evaporation process because of its porous structure. Fine coal beds experienced evaporation only near the surface, while the maximum influencing layer of evaporation is a depth of 0.4 cm below the surface in coarse coal beds.
Recommended Citation
Q. P. Campbell et al., "Coal Moisture Variations in Response to Rainfall Events in Mine and Coal-fired Power Plant Stockpiles—part 2: Evaporation," Minerals, vol. 11, no. 12, article no. 1366, MDPI, Dec 2021.
The definitive version is available at https://doi.org/10.3390/min11121366
Department(s)
Mining Engineering
Publication Status
Open Access
Keywords and Phrases
Coal stockpile; Evaporation; Moisture; Rainfall; Simulation
International Standard Serial Number (ISSN)
2075-163X
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2024 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Dec 2021
Comments
National Research Foundation, Grant TP14081289982