Optimization and control of one dimensional packed bed model of underground coal gasification

2015 ◽  
Vol 35 ◽  
pp. 11-20 ◽  
Author(s):  
Ali Arshad Uppal ◽  
Aamer Iqbal Bhatti ◽  
Erum Aamir ◽  
Raza Samar ◽  
Shahid Ahmed Khan
2014 ◽  
Vol 24 (1) ◽  
pp. 269-277 ◽  
Author(s):  
Ali Arshad Uppal ◽  
Aamer Iqbal Bhatti ◽  
Erum Aamir ◽  
Raza Samar ◽  
Shahid Ahmed Khan

1985 ◽  
Vol 107 (4) ◽  
pp. 523-526 ◽  
Author(s):  
S. H. Advani ◽  
J. S. Torok ◽  
J. K. Lee

Exact solutions for the one-dimensional problem of a compressible fluid having a time-dependent pressure at the source (fracture face) and displacing a compressible reservoir fluid are generated. Special solutions for various cases represented by step, step with constant slope front, and sinusoidal pressure variations at the fracture face are derived. Numerical results and trends for fluid interface motion are revealed for selected cases. The applicability of the presented solutions to hydraulic fracturing is discussed. In addition, response solutions for problems in reservoir mechanics, underground coal gasification, and nuclear waste management can be similarly investigated.


2019 ◽  
Vol 11 (1) ◽  
pp. 217 ◽  
Author(s):  
Yuteng Xiao ◽  
Jihang Yin ◽  
Yifan Hu ◽  
Junzhe Wang ◽  
Hongsheng Yin ◽  
...  

By igniting in the coal seam and injecting gas agent, underground coal gasification (UCG) causes coal to undergo thermochemical reactions in situ and, thus, to be gasified into syngas for power generation, hydrogen production, and storage. Compared with traditional mining technology, UCG has the potential sustainable advantages in energy, environment, and the economy. The paper reviewed the development of UCG projects around the world and points out that UCG faces difficulties in the field of monitoring and control in UCG. It is expounded for the current research status of monitoring and control in UCG, and clarified that monitoring and control in UCG is not perfect, remaining in the stage of exploration. To improve the problem of low coal gasification rate and gas production, and then to make full use of the potential sustainable advantages, the paper offers a perception platform of a UCG monitoring system based on the Internet-of-Things (IoT) and an optimal control model for UCG based on deep learning, and has an outlook on breakthrough directions of the key technologies related to the package structure design for moisture-proof and thermal insulation, antenna design, the strategy for energy management optimization, feature extraction and classification design for the network model, network structure design, network learning augmentation, and the control of the network model, respectively.


2014 ◽  
Vol 496-500 ◽  
pp. 1376-1380 ◽  
Author(s):  
Guan Li ◽  
Wen Jun Li ◽  
Qian Qian Su ◽  
Chun Feng Sun ◽  
Zeng Ye Ge

Based on Industrial Ethernet, PLC and Industrial Computer, Monitoring and Control System of Underground Coal Gasification (UCG) were developed. Distributed measured sensor signals and complex monitoring tasks are realized by a PLC and an Industrial Computer. Star topology network is used. The connection between Monitoring system and PLC is realized by an industrial Ethernet module. The solution in laboratory condition appears reliability and quick data exchange was realized between PLC and Monitoring system.


Author(s):  
Anil N. Khadse ◽  
Mohammed Qayyumi ◽  
Sanjay M. Mahajani ◽  
Preeti Aghalayam

Underground Coal Gasification (UCG) is the process of in-situ conversion of coal into combustible products (syngas) which can be used either as fuel or as a chemical feedstock. In this study, the gasification channel is viewed as a one-dimensional packed bed reactor. The packed bed reactor model is solved incorporating chemical reactions and mass transfer effects. A pseudo-transient model is simulated for temperature and composition profiles of the gas and solid phases. The movements of the pyrolysis and the reaction front are obtained. The model results are in qualitative agreement with literature. The effects of various operating parameters are studied in detail. Steam/O2 ratio, inlet O2 and total pressure determine the solid temperature profile and hence the outlet gas composition. The simulations are performed for two sets of kinetics parameters. The solid temperature profile and outlet gas compositions change significantly with a change in kinetics parameters. The main motivation behind this study is to provide a theoretical base for understanding the critical aspects of UCG and to provide a tool which coupled with experiments will help in determining the commercial feasibility of the UCG process.


2020 ◽  
Author(s):  
Tata Sutardi ◽  
Linwei Wang ◽  
Nader Karimi ◽  
Manosh C Paul

Abstract In this study, a packed bed reactor is developed to investigate the gasification process of coal particles. The effects of coal particle size and heater temperature of reactor are examined to identify the thermochemical processes through the packed bed. Three different coal samples with varying size, named as A, B, and C, are used, and the experimental results show that the packed bed with smaller coal size has higher temperature, reaching 624oC, 582oC, and 569oC for coal A, B, and C respectively. In the case of CO formation, the smaller particle size has greater products in the unit of mole fraction over the area of generation. However, the variation in the porosity of the packed bed due to different coal particle sizes affects the reactions through the oxygen access. Consequently, the CO formation is least from the coal packed bed formed by the smallest particle size A. A second test with the temperature variations shows that the higher heater temperature promotes the chemical reactions, resulting in the increased gas products. The findings indicate the important role of coal seam porosity in UCG (underground coal gasification) application, as well as temperature to promote the syngas productions.


2021 ◽  
Vol 882 (1) ◽  
pp. 012082
Author(s):  
Gandhi Kurnia Hudaya ◽  
Miftahul Huda

Abstract There is a deep-seated coal potency with a depth more than 100 meters below surface in Indonesia that has not been exploited yet. Underground Coal Gasification (UCG) is an unconventional technology that can become the solution to exploit the deep-seated coal potential by extracting coal into in-situ gas that can be converted to electricity or chemicals. Based on business analysis, this paper aims to analyze the implementation of UCG technology in Indonesia, whether it is potential or not. Data are collected from literature and analyzed using Porter Five Forces and PESTLE Analysis. The Porter Five Forces analysis shows that the implementation of UCG in Indonesia is still potential as an industry because the only threat will come from substitute products. PESTLE analysis shows that almost all the factors, except for technology, are very supportive of implementing UCG commercial plants in Indonesia. Based on both studies, it can be concluded that the UCG project is very potential to be developed in Indonesia. However, it needs full support and control from the government because it will become a pioneer project with financial and environmental risk still has not quantified ideally.


2020 ◽  
Vol 2 (1) ◽  
pp. 309-318
Author(s):  
A.N. KACHURIN ◽  
◽  
A.B. KOPILOV ◽  
G.V. FRIDLENDER ◽  
M.P. GANIN ◽  
...  

A mathematical model of the temperature regime of a coal bed during underground coal gasification in a filtration channel for new geotechnologies of Tula State University is developed. It is proposed to describe the unsteady temperature field of the coal seam with the one-dimensional heat conduction equation with the heat sink that depends on the temperature of the coal bed. The equation is solved for semi-infinite space. The results of computational experiments have shown that the temperature front from the fire face moves deep into the coal bed. Consequently, in the process of underground gasification, pre-heating of coal in the gasified block and thermal preparation take place. Quite quickly, after the formation of stable combustion of coal in the fire face, a stationary temperature profile is established.


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