Analysis of Risk Management for the Coal Mine Operations - Energy and Power Engineering

EPE > Vol.9 No.4, April 2017

Energy and Power Engineering

Volume 9, Issue 4 (April 2017)

ISSN Print: 1949-243X ISSN Online: 1947-3818

Google-based Impact Factor: 1.42 Citations

Analysis of Risk Management for the Coal Mine Operations ()

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DOI: 10.4236/epe.2017.94B002 2,828 Downloads 3,976 Views Citations

Author(s)

Yaqian Qi¹, Tong Xu², Jun Steed Huang^3*

Affiliation(s)

¹Hohai University, Nanjing, China.
²Jiangsu University, Zhenjiang, China.
³Suqian College, Suqian, China.

ABSTRACT

More than half of the energy sources in China are provided by combustion of coal from thermal power stations. By lowering the risk of excavating coal mines, we can decrease the price of the energy. This paper stresses the danger of coal mine gas explosions and constructs a gas explosion risk prediction system based on standard Hypo-Variance by using Brain Storms Optimization implemented with MATLAB simulation software. Hypo-Variance is the new concept built on the basis of Gauss Variance and can be used to make more precise risk assessments. By analyzing the multiple connections among gas density, temperature, humidity, pressure, air velocity, we can predict the trend of the gas event and propose the most safely timed schedule: operating three shifts in a day starting from a particular hour right after the gas peaking is over.

KEYWORDS

Hypo-Variance, Gauss Distribution, Coal, Mine, Hazard

Share and Cite:

Qi, Y. , Xu, T. and Huang, J. (2017) Analysis of Risk Management for the Coal Mine Operations. Energy and Power Engineering, 9, 12-18. doi: 10.4236/epe.2017.94B002.

Cited by

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[2]	Spatial Database Designing for Environmental Monitoring and Decision Making in Mitrovica Region, The Republic of Kosovo
	2021

[3]	Predicting the carbon dioxide emission of China using a novel augmented hypo-variance brain storm optimisation and the impulse response function
	2020

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