Have a personal or library account? Click to login
The Application for a Prediction of the Coal Spontaneous Ignition – Predisam Cover

The Application for a Prediction of the Coal Spontaneous Ignition – Predisam

Open Access
|Apr 2017

Abstract

The article follows the research of the project number TA01020351 called “The research of possibilities when predicting steam origin and consequent spontaneous ignition of brown coal fuels” which was researched with the support of the Technological Agency in the Czech Republic in 2011-2014 in the connection with a realized technical research. Therefore, it gives a summary information about the evaluation of the risk degree for the origin of spontaneous ignitions of the brown coal. The presented way of evaluation is based on a numeric expression of a value for MHU criteria - the point load of particular indicators is added together with other results gained from this research project. Then, more information is taken from companies running the dumps of brown coal products - both for suppliers (mining companies) and big consumers (power engineering). The complex knowledge about prediction of the origin of the spontaneous ignition enables to make an early response to eliminate a threat of mining fire in open pit mines or on the dumps of coal products. Consequently, it reduces the risk of fire and breakdowns of transportation means DPD, heavy machines and preparation plants. The working injuries are reduced as well - burns by coal in fire or inhalation of gas products from imperfect combustion.

DOI: https://doi.org/10.1515/mspe-2017-0011 | Journal eISSN: 2450-5781 | Journal ISSN: 2299-0461
Language: English
Page range: 81 - 87
Submitted on: Jul 1, 2016
|
Accepted on: Dec 1, 2016
|
Published on: Apr 22, 2017
Published by: STE Group sp. z.o.o.
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Vlastimil Moni, Petr Klouda, Jan Blata, František Helebrant, published by STE Group sp. z.o.o.
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.