Thermal Science

International Scientific Journal

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PREDICTION OF HEAT RESOURCES BASED ON AIR-FLOW TEMPERATURE FOR DEEP MINING

ABSTRACT

The strata temperature has over 40˚C in the depth over 800 m of metal mine, it seriously affects the efficiency of excavation. In this paper, heat sources in deep space are systematically analyzed, and the heat calculation model are achieved and its release rules evaluated. According to field monitoring, the thermal influencing factors of shaft, horizontal gallery and excavation surface are investigated. Through numerical-analysis, the “assumption-correction” iterative trial algorithm is studied to calculate air-flow temperature, a set of prediction index is established, which can predict air-flow temperature and judge heat level face with temperature threshold. By comparing field monitoring results with the model prediction data, it, the method shows well reliability for evaluated thermal environment in deep resources mining.

KEYWORDS

deep mining, heat resources, heat exchange, prediction model

PAPER SUBMITTED: 2024-07-20

PAPER REVISED: 2024-10-12

PAPER ACCEPTED: 2024-11-19

PUBLISHED ONLINE: 2025-05-03

DOI REFERENCE: https://doi.org/10.2298/TSCI2502173J

CITATION EXPORT: view in browser or download as text file

THERMAL SCIENCE YEAR 2025, VOLUME 29, ISSUE No. 2, PAGES [1173 - 1178]

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Prediction of heat resources based on air-flow temperature for deep mining

© 2026 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence

THERMAL SCIENCE

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Peng Jiang

Xiao-Xu Hou

Hong-Guang Ji

Jun-Tao Wang

Chang Li

PREDICTION OF HEAT RESOURCES BASED ON AIR-FLOW TEMPERATURE FOR DEEP MINING