CFD Study on Vermiculite Injection System Optimization in a Cyclone-Fired Boiler

Author(s):  
Guanghui Yu ◽  
Larry Swanson ◽  
Wei Zhou ◽  
David Moyeda ◽  
Joshua Rossow

Boilers firing low-rank coal generally experience high levels of slagging and fouling. To help manage convective pass fouling, various additives or conditioners can be injected into the boiler furnace high temperature region as physical disruptors of slag deposits, exhibiting a varying density or gas evolution, which physically breaks up slag or as chemical modifiers of the ash to increase its softening temperature. Vermiculite is one additive that has been applied with success; however, it is important to ensure that the injected material is placed in the most heavily slagged and fouled areas. The purpose of this study was to evaluate the effectiveness of a vermiculite injection system installed on a large cyclone-fired boiler and to identify improvements in the injection system that would permit more effective treatment of the areas of interest. During the study, a million-cell full boiler combustion model was developed. Typical features of the furnace flow and temperature field were obtained. Considering the particular operating conditions and features of the upper furnace flow field (biased gas velocities and rotational flow), optimized injection schemes were proposed. This study shows the usefulness of applying CFD to solve slagging and fouling issues for coal-fired boilers.

2017 ◽  
Vol 12 (2) ◽  
pp. 94
Author(s):  
Harli Talla ◽  
Herman Tjolleng Taba

Low rank coal utilization often adversely affects the equipment used. Distinct with coal liquefaction technology that prioritizes the use of low rank coal. This condition encourages this research, with the aim of observing the liquid potential of low rank Papuan coal by using iron ore catalysts. Papua low rank coal is liquefied on the autoclave 5 liter with iron ore catalyst and antrasen as solvent. Operating conditions consist of temperature of 400ºC and holding time of 60 minutes. The result of conversion of the three samples without catalyst is only in the range of 65.72-66,45 %, whereas the conversion with iron ore catalysts ranged from 88.63-89.94 % and oil yield between 62.11-63,34%. This result also shows the contribution of iron ore catalyst to increase the conversions that averaged 23.04 %. 


Author(s):  
H J Kim ◽  
B W Ryu ◽  
C S Lee

A numerical study was conducted to investigate combustion and emission characteristics in a high-speed direct-injection engine with a common-rail injection system under various operating conditions. In order to analyse the combustion characteristics, several models were used in this study. They were the renormalization group k– ε model, the hybrid Kelvin—Helmholtz (wave) and the Rayleigh—Taylor model, the shell auto-ignition model, and the laminar and turbulent characteristic timescale combustion model. The prediction of exhaust emissions was conducted using nitrogen oxide NO x formation with an extended Zel'dovich mechanism and Hiroyasu soot formation with the Nagle—Strickland-Constable oxidation model respectively. Experimental combustion and emission characteristics were compared with calculated results under various operating conditions, such as injection timing, injection pressure, fuel mass, and engine speed. The calculated results show similar patterns to the experimental results in the cylinder pressure and the rate of heat release. In the emissions characteristics, NO x emission decreased as injection timing was retarded and the NO x and soot amounts increased with the increase in the injected fuel mass. The calculated soot trends for various injection timings showed different patterns from the experimental trends as the injection timing were retarded.


2018 ◽  
Author(s):  
Jayeeta Chakraborty ◽  
◽  
Robert B. Finkelman ◽  
William H. Orem ◽  
Matthew S. Varonka ◽  
...  

Minerals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 239
Author(s):  
Wei Wang ◽  
Long Liang ◽  
Yaoli Peng ◽  
Maria Holuszko

Micro-Fourier transform infrared (micro-FTIR) spectroscopy was used to correlate the surface chemistry of low rank coal with hydrophobicity. Six square areas without mineral impurities on low rank coal surfaces were selected as testing areas. A specially-designed methodology was applied to conduct micro-FTIR measurements and contact angle tests on the same testing area. A series of semi-quantitative functional group ratios derived from micro-FTIR spectra were correlated with contact angles, and the determination coefficients of linear regression were calculated and compared in order to identify the structure of the functional group ratios. Finally, two semi-quantitative ratios composed of aliphatic carbon hydrogen, aromatic carbon hydrogen and two different types of carbonyl groups were proposed as indicators of low rank coal hydrophobicity. This work provided a rapid way to predict low rank coal hydrophobicity through its functional group composition and helped us understand the hydrophobicity heterogeneity of low rank coal from the perspective of its surface chemistry.


Energy ◽  
2021 ◽  
pp. 121505
Author(s):  
Muflih A. Adnan ◽  
Arif Hidayat ◽  
Mohammad M. Hossain ◽  
Oki Muraza
Keyword(s):  
Low Rank ◽  

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