The traditional practice of employing a two-stage coal-fed gasification process is to feed all of the oxygen to provide a vigorous amount of combustion in the first stage but only feed the coal without oxygen in the second stage to allow the endothermic gasification process to occur downstream of the second stage. One of the merits of this 2-stage practice is to keep the gasifier temperature low downstream from the 2nd stage. This helps to extend the life of refractory bricks, decrease gasifier shut-down frequency for scheduled maintenance, and reduce the maintenance costs. In this traditional 2-stage practice, the temperature reduction in the second stage is achieved at the expense of a higher than normal temperature in the first stage. This study investigates a concept totally opposite to the traditional two-stage coal feeding practices in which the injected oxygen is split between the two stages, while all the coal is fed into the first stage. The hypothesis of this two-stage oxygen injection is that a distributed oxygen injection scheme can also distribute the release of heat to a larger gasifier volume and, thus, reduce the peak temperature distribution in the gasifier. The increased life expectancy and reduced maintenance of the refractory bricks can prevail in the entire gasifier and not just downstream from the second stage. In this study, both experiments and computational simulations have been performed to verify the hypothesis. A series of experiments conducted at 2.5 - 3.0 bars shows that the peak temperature and temperature range in the gasifier do decrease from 600?C - 1550?C with one stage oxygen injection to 950?C - 1230?C with a 60 - 40 oxygen split-injection. The CFD results conducted at 2.5 bars show that 1) the carbon conversion ratio for different oxygen injection schemes are all above 95%; 2) H2 (about 70% vol.) dominates the syngas composition at the exit; 3) the 80% - 20% case yields the lowest peak temperature and the most uniform temperature distribution along the gasifier; and 4) the 40% - 60% case produces the syngas with the highest HHV. Both experimental data and CFD predictions verify the hypothesis that it is feasible to reduce the peak temperature and achieve more uniform temperature in the gasifier by adequately controlling a two-stage oxygen injection with only minor changes of the composition and heating value of the syngas.
References
[1]
Wang, T., Silaen, A., Hsu, H.W. and Shen, C.H. (2010) Investigation of Heat Transfer and Gasification of Two Dif- ferent Fuel Injectors in an Entrained-Flow Gasifier. ASME Journal of Thermal Science and Engineering Applications, 2, 011001/1-10.
[2]
Wang, T., Lu, X., Hsu, H.W. and Shen, C.H. (2011) Investigation of the Performance of Syngas Quench Cooling De- sign in a Downdraft Entrained Flow Gasifier. Proceedings of the 28th International Pittsburgh Coal Conference, Pit- tsburgh, 12-15 September 2011, 1-18.
[3]
Smoot, L.D. and Smith, PJ. (1985) Coal Combustion and Gasification. Plenum Press, New York.
http://dx.doi.org/10.1007/978-1-4757-9721-3
[4]
Chen, C., Horio, M. and Kojima, T. (2000) Numerical Simulation of Entrained Flow Coal Gasifiers. Chemical Engi- neering Science, 55, 3861-3833. http://dx.doi.org/10.1016/S0009-2509(00)00030-0
[5]
Westbrook, C.K. and Dryer, F.L. (1981) Simplified Reaction Mechanisms for the Oxidation of Hydrocarbon Fuels in Flames. Combustion Science and Technology, 27, 31-43.
[6]
Jones, W.P. and Lindstedt, R.P. (1988) Global Reaction Schemes for Hydrocarbon Combustion. Combustion and Flame, 73, 233. http://dx.doi.org/10.1016/0010-2180(88)90021-1
[7]
Benyon P. (2002) Computational Modelling of Entrained Flow Slagging Gasifiers. PhD Thesis, School of Aerospace, Mechanical & Mechatronic Engineering. University of Sydney, Sydney.
[8]
Lu, X. and Wang, T. (2013) Water-Gas Shift Modeling in Coal Gasification in an Entrained-Flow Gasifier Part 1: De- velopment of Methodology and Model Calibration. Fuel, 108, 629-638.
[9]
Lu, X. and Wang, T. (2013) Water-Gas Shift Modeling in Coal Gasification in an Entrained-Flow Gasifier Part 2: Ga- sification Application. Fuel, 108, 620-628.
[10]
Silaen, A. and Wang, T. (2010) Effect of Turbulence and Devolatilization Models on Gasification Simulation. Interna- tional Journal of Heat and Mass Transfer, 53, 2074-2091. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2009.12.047
[11]
Fletcher, T.H., Kerstein, A.R., Pugmire, R.J. and Grant, D.M. (1990) Chemical Percolation Model for Devolatilization: 2. Temperature and Heating Rate Effects on Product Yields. Energy and Fuels, 4, 54-60.
http://dx.doi.org/10.1021/ef00019a010
[12]
Fletcher, T.H. and Kerstein, A.R. (1992) Chemical Percolation Model for Devolatilization: 3. Direct Use of 13C NMR Date to Predict Effects of Coal Type. Energy and Fuels, 6, 414-431. http://dx.doi.org/10.1021/ef00034a011
[13]
Grant, D.M., Pugmire, R.J., Fletcher, T.H. and Kerstein, A.R. (1989) Chemical Percolation of Coal Devolatilization Using Percolation Lattice Statistics. Energy and Fuels, 3, 175-186. http://dx.doi.org/10.1021/ef00014a011
[14]
Kobayashi, H., Howard, J.B. and Sarofim, A.F. (1976) Coal Devolatilization at High Temperatures. Symposium (In- ternational) on Combustion, 16, 411-425.
[15]
Zhang, J. (2013) Innovativeness and Development of Tsinghua Gasification Technology. Gasification Technology Conference, Colorado Spring, 13-16 October 2013, 17 p.