Numerical Study on Convection Diffusion for Gasification Agent in Underground Coal Gasification (UCG). Part II: Determination of Model Parameters and Results Analysis

Author(s):  
L. H. Yang ◽  
Y. M. Ding
Energy ◽  
2019 ◽  
Vol 166 ◽  
pp. 972-978 ◽  
Author(s):  
Sebastian Iwaszenko ◽  
Natalia Howaniec ◽  
Adam Smoliński

1986 ◽  
Vol 108 (3) ◽  
pp. 246-253 ◽  
Author(s):  
H. R. Mortazavi ◽  
A. F. Emery ◽  
R. C. Corlett ◽  
W. R. Lockwood

The drying of coal and the associated thermal and moisture-induced stresses are examined with a numerical model to estimate the rate of surface regression in underground coal gasification. The model includes internal convection, diffusion, conduction and flow of liquid, vapor and gas. The structural failure is modeled by three different mechanisms based upon a strength reduction due to heating, drying, or crack formation. Using properties and boundary conditions appropriate to Western United States coal, the model predicts a regression rate which is in qualitative agreement with measured results. Using the model, it is possible to examine different thermal and failure modes and to gain an understanding of some of the mechanisms which may control the surface regression of coal during gasification. These results may be applicable to the formation of rubble during gasification and to internal cavity collapse.


1983 ◽  
Vol 105 (2) ◽  
pp. 145-155 ◽  
Author(s):  
T. L. Eddy ◽  
S. H. Schwartz

A mechanistic computer model is presented which predicts the 3-D cavity growth during the gasification phase of underground coal gasification. Developed for swelling bituminous coals, the model also obtains reasonable cavity width and length values for shrinking sub-bituminous coals. The model predicts cavity shape and burn-through times based on the coal properties, seam thickness, water reacting and the interwell distance. Employing a 2-D boundary layer model to determine the convective diffusion rate of oxygen to the reacting walls, it is found that natural convection diffusion must be included. The model includes flow in the injection region, the swirling, mixing effect in the cavity, and transitions from thick to thin seam geometry. Simulations of the Hanna II, Phase 2 and Pricetown I field tests, as well as a parametric study on Pittsburgh seam coal, are presented.


2013 ◽  
Vol 12 (3) ◽  
pp. 8-16 ◽  
Author(s):  
Volodymyr S. Falshtynskyi ◽  
Roman O. Dychkovskyi ◽  
Vasyl G. Lozynskyi ◽  
Pavlo B. Saik

2016 ◽  
Vol 21 (1-2) ◽  
pp. 107-116
Author(s):  
Malwina Cykowska ◽  
Małgorzata Bebek ◽  
Aleksandra Strugała-Wilczek

AbstractA 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).


2021 ◽  
Vol 12 (3) ◽  
Author(s):  
Volodymyr S. Falshtynskyi ◽  
Roman O. Dychkovskyi ◽  
Vasyl G. Lozynskyi ◽  
Pavlo B. Saik

Sign in / Sign up

Export Citation Format

Share Document