scholarly journals Heat capacities and acoustic virial coefficients for a synthetic coal mine methane mixture by speed of sound measurements at T = (273.16 and 250.00) K

2016 ◽  
Vol 97 ◽  
pp. 137-141 ◽  
Author(s):  
Fernando J. Pérez-Sanz ◽  
M. Carmen Martín ◽  
César R. Chamorro ◽  
Teresa Fernández-Vicente ◽  
José J. Segovia
Keyword(s):  
Coal Mine ◽  
Speed Of Sound ◽  
Virial Coefficients ◽  
Heat Capacities ◽  
Coal Mine Methane ◽  
Methane Mixture

scholarly journals Technical requirements regarding the equipment of reciprocating engines in mine gas utilisation, especially for gases with low contents of methane

2006 ◽  
Vol 125 (2) ◽  
pp. 3-9
Author(s):  
Guido DROSTE
Keyword(s):  
Power Systems ◽  
Coal Mine ◽  
Gas Mixture ◽  
Coal Mine Methane ◽  
Generating Sets ◽  
Technical Requirements ◽  
Reciprocating Engines ◽  
Methane Mixture ◽  
Mine Gas ◽  
Set Up

Some basic constructional features of generating sets produced by DEUTZ Power Systems equipped with gas engines fueled with air – Coal Mine Methane mixture have been presented in the paper. The way of preparing of air-gas mixture, gas set up and ignition ability have been described here. Some operation features of gensets with Deutz TCG 2032 have been discussed.

Accurate thermodynamic characterization of a synthetic coal mine methane mixture

2014 ◽  
Vol 68 ◽  
pp. 253-259 ◽  
Author(s):  
R. Hernández-Gómez ◽  
D. Tuma ◽  
M.A. Villamañán ◽  
M.E. Mondéjar ◽  
C.R. Chamorro
Keyword(s):  
Coal Mine ◽  
Thermodynamic Characterization ◽  
Coal Mine Methane ◽  
Methane Mixture

scholarly journals Bottom-Up Estimates of Coal Mine Methane Emissions in China: A Gridded Inventory, Emission Factors, and Trends

2019 ◽  
Vol 6 (8) ◽  
pp. 473-478 ◽  
Author(s):  
Jianxiong Sheng ◽  
Shaojie Song ◽  
Yuzhong Zhang ◽  
Ronald G. Prinn ◽  
Greet Janssens-Maenhout
Keyword(s):  
Coal Mine ◽  
Methane Emissions ◽  
Emission Factors ◽  
Bottom Up ◽  
Coal Mine Methane

Combustion Characteristics of Coal Mine Methane in a Preheated-Burner Packed with Raschig Rings

2021 ◽  
Author(s):  
Huaming Dai ◽  
Huiwei Zhu ◽  
Pan Yang ◽  
Hongchao Dai ◽  
Song He ◽  
...  
Keyword(s):  
Coal Mine ◽  
Combustion Characteristics ◽  
Coal Mine Methane

scholarly journals The Security of Energy Supply from Internal Combustion Engines Using Coal Mine Methane—Forecasting of the Electrical Energy Generation

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3049
Author(s):  
Marek Borowski ◽  
Piotr Życzkowski ◽  
Klaudia Zwolińska ◽  
Rafał Łuczak ◽  
Zbigniew Kuczera
Keyword(s):  
Coal Mine ◽  
Predictive Models ◽  
Coalbed Methane ◽  
Internal Combustion Engines ◽  
Drainage System ◽  
Production Capacity ◽  
Methane Combustion ◽  
Economic Benefits ◽  
Electricity Production ◽  
Coal Mine Methane

Increasing emissions from mining areas and a high global warming potential of methane have caused gas management to become a vital challenge. At the same time, it provides the opportunity to obtain economic benefits. In addition, the use of combined heat and power (CHP) in the case of coalbed methane combustion enables much more efficient use of this fuel. The article analyses the possibility of electricity production using gas engines fueled with methane captured from the Budryk coal mine in Poland. The basic issue concerning the energy production from coalbed methane is the continuity of supply, which is to ensure the required amount and concentration of the gas mixture for combustion. Hence, the reliability of supply for electricity production is of key importance. The analysis included the basic characterization of both the daily and annual methane capture by the mine’s methane drainage system, as well as the development of predictive models to determine electricity production based on hourly capture and time parameters. To forecast electricity production, predictive models that are based on five parameters have been adopted. Models were prepared based on three time variables, i.e., month, day, hour, and two values from the gas drainage system-capture and concentration of the methane. For this purpose, artificial neural networks with different properties were tested. The developed models have a high value of correlation coefficient. but showed deviations concerning the very low values persisting for a short time. The study shows that electricity production forecasting is possible, but it requires data on many variables that directly affect the production capacity of the system.

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