Prediction of airflow temperature in coal mining face under the influence of multiple heat sources coupling: Numerical simulation and verification

With the development of coal resources to the deep, the mine heat damage has become increasingly serious. In this work, we proposed a comprehensive airflow temperature prediction model considering the coupling effect of multiple heat sources in coal mining face. The model was then discretized and a coupled solution simulator was developed independently. Finally, we conducted field test to verify the simulation results, and carried out a multi-factor sensitivity analysis affecting the thermal environment of coal mining face. The results show that:(i) The maximum relative error of prediction results is less than 4 %, which verifies the reliability of the prediction model. (ii) Heat dissipation from electrical equipment, surrounding rock and hot airflow leakage of gob area account for 43.8 %, 28.8 % and 17.4 % of the total heat load, which are the main causes of heat damage. (iii) The maximum airflow temperature in coal mining face increases in a parabolic trend with average advance speed. (iv) As the original rock temperature increases, the thermal environment of coal mining face deteriorates rapidly. (v) Cooling the inlet airflow or increasing the airflow volume can alleviate the high temperature problem. This research can provide guidance for the treatment of deep mine heat damage.

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Publication Details

Journal
Case Studies in Thermal Engineering
Published
2024-09-01
DOI
https://doi.org/10.1016/j.csite.2024.105128
Citations
7
Primary Topic
Coal Properties and Utilization
Type
article
Field-Weighted Citation Impact
2.35
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article

Prediction of airflow temperature in coal mining face under the influence of multiple heat sources coupling: Numerical simulation and verification

Mingyan Guo, Dezheng Wang, Yueping Qin, Fei Tang et al.
7 citations
Case Studies in Thermal Engineering
Coal Properties and Utilization
2.35
article

Prediction of airflow temperature in coal mining face under the influence of multiple heat sources coupling: Numerical simulation and verification

Mingyan Guo, Dezheng Wang, Yueping Qin, Fei Tang, Panpan Liu, Shibin Wang
article en
7 citations

Abstract

With the development of coal resources to the deep, the mine heat damage has become increasingly serious. In this work, we proposed a comprehensive airflow temperature prediction model considering the coupling effect of multiple heat sources in coal mining face. The model was then discretized and a coupled solution simulator was developed independently. Finally, we conducted field test to verify the simulation results, and carried out a multi-factor sensitivity analysis affecting the thermal environment of coal mining face. The results show that:(i) The maximum relative error of prediction results is less than 4 %, which verifies the reliability of the prediction model. (ii) Heat dissipation from electrical equipment, surrounding rock and hot airflow leakage of gob area account for 43.8 %, 28.8 % and 17.4 % of the total heat load, which are the main causes of heat damage. (iii) The maximum airflow temperature in coal mining face increases in a parabolic trend with average advance speed. (iv) As the original rock temperature increases, the thermal environment of coal mining face deteriorates rapidly. (v) Cooling the inlet airflow or increasing the airflow volume can alleviate the high temperature problem. This research can provide guidance for the treatment of deep mine heat damage.

Case Studies in Thermal EngineeringVol. 61
China University of Mining and Technology (CN)
Openalex Percentile: Top 12%
Coal Properties and Utilization
2.35
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Prediction of airflow temperature in coal mining face under the influence of multiple heat sources coupling: Numerical simulation and verification — Mingyan Guo, Dezheng Wang, et al. · Case Studies in Thermal Engineering (2024) | TGRS Research Map | TGRS