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Analysis of Risk Factors for Underground Coal Gasification

REFERENCES [1] Burchart-Korol D., Krawczyk, P., Czaplicka-Kolarz, K. Eco-efficiency of underground coal gasification (UCG) for electricity production, FUEL, 2016, 173. [2] Białecka B. Estimation of coal reserves for UCG in the upper silesian coal Basin. Natural Resources Research . 17, (1), 2008, 21-28. [3] Brown K. M. In situ coal gasification. An emerging technology, Journal Am. Soc. Min . Reclam, 2012, (1) [4] Mocek, P.; Pieszczek, M.; Swiadrowski, J.; Kapusta, K.; Wiatowski, M.; Stanczyk, K. Pilot-scale underground coal gasification

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Determination of Ammonium Concentration in Post-Process Waters from Underground Coal Gasification

Abstract

A flow injection analysis method for spectrophotometric determination of ammonium in waters produced during underground coal gasification (UCG) of lignite and hard coal was described. The analysis of UCG water samples is very difficult because of their very complicated matrix and colour. Due to a huge content of organic and inorganic substances and intensive colour of samples (sometimes yellow, quite often dark brown or even black), most analytical methods are not suitable for practical application. Flow injection analysis (FIA) is based on diffusion of ammonia through a hydrophobic gas permeable membrane from an alkaline solution stream into an acid-base indicator solution stream. Diffused ammonia causes a colour change of indicator solution, and ammonia is subsequently quantified spectrophotometrically at 590 nm wavelength. The reliability of the results provided by applied method was evaluated by checking validation parameters like accuracy and precision. Accuracy was evaluated by recovery studies using multiple standard addition method. Precision as repeatability was expressed as a coefficient of variation (CV).

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The Application of a Jet Fan for the Control of Air and Methane Streams Mixing at the Excavations Cross – The Results of Numerical Simulation

Abstract

The paper presents the results of numerical simulations into the distribution of methane concentration at the intersection of two excavations with a fan (turned on) giving the air stream to the area of the crossing. Assumed case represents emergency situation related to the unexpected flow of methane from an excavation and its mixing with fresh air. It is possible when sudden gas outburst takes place, methane leaks from methane drainage system or gas leaks out the pipelines of underground coal gasification devices. Three options were considered - corresponding to three different speeds of the jet fan. They represent three stages of fan work. First - low air speed is forced by a pneumatic fan, when electricity is cut off after high methane concentration detection. Medium speed can be forced by pneumatic-electric device when methane concentration allows to turn on the electricity. Third, the highest speed is for electric fans. Simulations were carried out in the Fire Dynamics Simulator (FDS) belongs to the group of programs Computational Fluid Dynamics (CFD). The governing equations are being solved in a numerical way. It was shown that proposed solution allows partial dilution of methane in every variant of speed what should allow escape of the miners from hazardous area.

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The Analysis of Natural Gas and Crude Oil Market from the Global and EU Perspective

http://www.npc.org/Study_Topic_Papers/29-TTGUnconventional-Gas.pdf IEA. (2010). World Energy Outlook 2010. IEA. (2011). Natural Gas Information 2011. IEA. (2011). Oil Information 2011. International Mining web page. (2011). Air Liquide supports Wildhorse Energy’s underground coal gasification plans. Retrieved September 19, 2011 from http://www.im-mining.com/2011/09/09/air-liquide-supports-wildhorse-energysunderground-coal-gasification-plans/ Kahn, M. (2009). 2008 Oil price Bubble

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Utilisation of the Safety Index (Elmeri Index) as the OSH Indicator at Coal Mines

safety at workplace: A field study in a heavy automotive industry in the Northwest of Iran. Health Sci. Surveillance Sys ., 5 (2), 86–93. 12. Pivnyak, G., Dychkovskyi, R., Bobyliov, O., Cabana, E.C., & Smoliński, A. (2018). Mathematical and geomechanical model in physical and chemical processes of underground coal gasification. Solid State Phenomena , 277 , 1–16. 13. Aleksandrov, V.M., Golozubenko, E.S., Ponomarev, S.A., & Saltykov, V.V. (2018). Detachment of alluvial paleofacial complexes in the upper Jurassic deposits of the South-West of the West

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Evaluation Principles of the Dust Influence of Mining Enterprises on the Environment

–244. 12. Firm “Integral”. (2017). Methods for calculating the dispersion of emissions of harmful (polluting) substances in atmospheric air . Available at https://integral.ru/shop/cargo/386.html 13. Alymov, V.T., Krapchatov, V.P., & Tarasova, N.P. (2014). Analysis of technological risk. Moscow: Kruglyy god. 14. Murzin, M.A. (2016). Mining enterprises as a source of environmental risks. Mining Information and Analytical Bulletin, 2 , 374–383. 15. Dychkovskyi, R.O. (2015). Determination of the rock subsidence spacing in the well underground coal

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