Modeling of Material Balance From the Experimental Ucg

Durdán, Milan; Terpák, Ján; Kačur, Ján; Laciak, Marek; Flegner, Patrik

doi:10.14311/ap.2020.60.0391

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…The material and heat balance are determined by physical rates of chemical reactions, technological efficiency of the process, and modes of blow mixture supply into the gasification zone [92]. To calculate the material and heat balance, the MT-Balance software was applied.…”

Section: Materials and Heat Balancementioning

confidence: 99%

Experimental Studies of the Effect of Design and Technological Solutions on the Intensification of an Underground Coal Gasification Process

et al. 2021

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This paper represents the results of experimental studies of physical modeling of the underground coal gasification process in terms of implementation of design and technological solutions aimed at intensification of a gasification process of thin coal seams. A series of experimental studies were performed in terms of a stand unit with the provided criteria of similarity to field conditions as well as kinetics of thermochemical processes occurring within a gas generator. Hard coal (high volatile bituminous coal) was selected as the raw material to be gasified, as that coal grade prevails in Ukrainian energy balance since it is represented by rather great reserves. Five blow types were tested during the research (air, air–steam, oxygen–steam, oxygen–enriched, and carbon dioxide and oxygen). As a result, the effect of tightness of a gas generator on the quantitative and qualitative parameters of coal gasification while varying the blow by reagents and changing the pressure in a reaction channel has been identified. Special attention was paid to the design solutions involving blow supply immediately into the combustion face of a gas generator. The experimental results demonstrate maximum efficiency of the applied gas generator design involving flexible pipelines and activator in the reaction channel and a blow direction onto the reaction channel face combined with blow stream reversing which will make it possible to improve caloricity of the generator gas up to 18% (i.e., from 8.4 to 12.8 MJ/m3 depending upon a blow type). Consideration of the obtained results of physical modelling can be used with sufficient accuracy to establish modern enterprises based on the underground coal seam gasification; this will help develop more efficiently the substandard coal reserves to generate heat energy as well as power-producing and chemical raw material. The research conclusions can provide technical reference for developing a new generation of underground coal gasification technology.

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Section: Materials and Heat Balancementioning

confidence: 99%

Experimental Studies of the Effect of Design and Technological Solutions on the Intensification of an Underground Coal Gasification Process

et al. 2021

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“…This analyser can also be used to monitor the migration of gases from the reaction zone towards the surface to detect leakages and to assess chemical hazards on the surface when identifying and quantifying chemical hazards during a field experiment with underground coal gasification [8,9]. It was used to measure CO 2 and O 2 levels in the air from soil on a pile of waste ash from shale ash in Kvarntorp, Sweden, with an increased concentration of uranium [10].…”

Section: Introductionmentioning

confidence: 99%

Statistical Evaluation of Quantities Measured in the Detection of Soil Air Pollution of the Environmental Burden

et al. 2021

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The article highlights the investigation of the relationships between measured quantities during the atmospheric geochemical survey of contaminated soil and the environmental burden of the industrial establishment in eastern Slovakia. Statistical data processing was undertaken from the measured values of pollutants. The basic statistical characteristics of the monitored indicators were defined here. With the help of regressive and correlative analysis, dependency was confirmed between examined values, further expressed by a mathematical relationship. We analysed variability of the measured variables due to the influence of changed input quantities by the non-parametric Wilcox test. The statistical data processing helps us to identify the dependency between the measured values and improves valorization of the pollution of a given environmental burden. This was due to the handling of organic pollutants and the production of basic organic and inorganic chemicals stated for other industries. Chemical analysis of soil air helps us to determine the extent and amount of soil contamination by pollutants. Individual pollutants have their own characteristic properties and their negative effects on biota, the environment and humans are different.

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Regression Models Utilization to the Underground Temperature Determination at Coal Energy Conversion

Durdán¹,

Benková²,

Laciak³

et al. 2021

Energies

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The underground coal gasification represents a technology capable of obtaining synthetic coal gas from hard-reached coal deposits and coal beds with tectonic faults. This technology is also less expensive than conventional coal mining. The cavity is formed in the coal seam by converting coal to synthetic gas during the underground coal gasification process. The cavity growth rate and the gasification queue’s moving velocity are affected by controllable variables, i.e., the operation pressure, the gasification agent, and the laboratory coal seam geometry. These variables can be continuously measured by standard measuring devices and techniques as opposed to the underground temperature. This paper researches the possibility of the regression models utilization for temperature data prediction for this reason. Several regression models were proposed that were differed in their structures, i.e., the number and type of selected controllable variables as independent variables. The goal was to find such a regression model structure, where the underground temperature is predicted with the greatest possible accuracy. The regression model structures’ proposal was realized on data obtained from two laboratory measurements realized in the ex situ reactor. The obtained temperature data can be used for visualization of the cavity growth in the gasified coal seam.

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Modeling of Material Balance From the Experimental Ucg

Cited by 4 publications

References 23 publications

Experimental Studies of the Effect of Design and Technological Solutions on the Intensification of an Underground Coal Gasification Process

Experimental Studies of the Effect of Design and Technological Solutions on the Intensification of an Underground Coal Gasification Process

Statistical Evaluation of Quantities Measured in the Detection of Soil Air Pollution of the Environmental Burden

Regression Models Utilization to the Underground Temperature Determination at Coal Energy Conversion

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