scholarly journals Experimental Investigation of NOx Reduction by Urea Solution Injection in Fuel-rich Zone of Coal Combustion

Author(s):  
Degui Bi ◽  
Zhongxiao Zhang ◽  
Zhixiang Zhu ◽  
Jiancong Dong ◽  
Tuo Zhou
Author(s):  
H. Ishizuka ◽  
K. Hyvarinen ◽  
A. Morita ◽  
T. Suzuki ◽  
K. Yano ◽  
...  

Fuel ◽  
2012 ◽  
Vol 101 ◽  
pp. 205-214 ◽  
Author(s):  
H. Stainton ◽  
A. Ginet ◽  
K. Surla ◽  
A. Hoteit

Author(s):  
Wenbo Sui ◽  
Carrie M. Hall

Because of its high NOx reduction efficiency, selective catalyst reduction (SCR) has become an indispensable part of diesel vehicle aftertreatment. This paper presents a control strategy for SCR systems that is based on an on-line radial basis function neural network (RBFNN) and an on-line backpropagation neural network (BPNN). In this control structure, the radial basis function neural network is employed as an estimator to provide Jacobian information for the controller; and the backpropagation neural network is utilized as a controller, which dictates the appropriate urea-solution to be injected into the SCR system. This design is tested by simulations based in Gamma Technologies software (GT-ISE) as well as MATLAB Simulink. The results show that the RBF-BPNN control technique achieves a 1–5 % higher NOx reduction efficiency than a PID controller.


2014 ◽  
Vol 28 (9) ◽  
pp. 6089-6097 ◽  
Author(s):  
Changchun Liu ◽  
Shien Hui ◽  
Su Pan ◽  
Hao Zou ◽  
Geng Zhang ◽  
...  

Author(s):  
Soo-Jin Jeong ◽  
Woo-Seung Kim ◽  
Jung-Kwon Park ◽  
Ho-Kil Lee ◽  
Se-Doo Oh

The selective catalytic reduction (SCR) system is a highly-effective aftertreatment device for NOx reduction of diesel engines. Generally, the ammonia (NH3) was generated from reaction mechanism of SCR in the SCR system using the liquid urea as the reluctant. Therefore, the precise urea dosing control is a very important key for NOx and NH3 slip reduction in the SCR system. This paper investigated NOx and NH3 emission characteristics of urea-SCR dosing system based on model-based control algorithm in order to reduce NOx. In the map-based control algorithm, target amount of urea solution was determined by mass flow rate of exhaust gas obtained from engine rpm, torque and O2 for feed-back control NOx concentration should be measured by NOx sensor. Moreover, this algorithm cannot estimate NH3 absorbed on the catalyst Hence, the urea injection can be too rich or too lean. In this study, the model-based control algorithm was developed and evaluated based on the analytic model for SCR system. The channel thermo-fluid model coupled with finely tuned chemical reaction model was applied to this control algorithm. The vehicle test was carried out by using map-based and model-based control algorithms in the NEDC mode in order to evaluate the performance of the model based control algorithm.


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