Model predictive control case study: Selective catalytic reduction (SCR) system in coal-fired power plant

Author(s):  
Kangkang Zhang ◽  
Jun Zhao ◽  
Yucai Zhu ◽  
Zuhua Xu
Author(s):  
Don Newburry ◽  
Pat Runnels ◽  
Mike Owings

Lean burn, natural gas, reciprocating engines are becoming widely utilized for stationary industrial applications due to their high efficiency and low emissions. However, despite the low engine emissions, some locations still require exhaust after-treatment to meet the local emissions requirements. Due to the high oxygen content (greater than 4%) in the exhaust of lean burn engines, 3-Way (non-selective) catalysts are not suitable to reduce NOx. Selective catalytic reduction (SCR), which utilizes a consumable reductant to reduce NOx over a catalyst, is very effective at reducing NOx and is becoming an accepted technology for large, stationary engine applications. In the summer of 2001, Stewart & Stevenson installed 16 Deutz TGB632V16 natural gas fired engines for NEO Corporation at the Chow II power plant. MIRATECH SCR provided and commissioned 16 selective catalytic reduction systems for these engines using a 40% urea solution as the reductant. This paper describes the installed SCR systems and reports some of the emissions testing results and costs. With the SCR systems in place, the engines were successfully able to meet the permitted exhaust emissions requirements of 0.07 g/bhp-hr of NOx, 0.1 g/bhp-hr of CO, and 0.15 g/bhp-hr of VOC’s (volatile organic compounds) with less than 10 ppmvd of ammonia slip @ 15% O2. Additional measurements were made of formaldehyde and acrolein. Very low levels of these emissions were found after the SCR.


2016 ◽  
Vol 47 ◽  
pp. 98-110 ◽  
Author(s):  
H. Pakravesh ◽  
I. Aksikas ◽  
M. Votsmeier ◽  
S. Dubljevic ◽  
R.E. Hayes ◽  
...  

Author(s):  
Ming Feng Hsieh ◽  
Junmin Wang

This paper presents a diesel engine selective catalytic reduction (SCR) control design based on a novel model predictive control (MPC)-assisted approach, which utilizes the advantages of MPC while keeping the computation demand under an acceptable level. The SCR control problem is featured by the challenges of time delay, significant time-varying characteristics, and limited control authority. Based on the understanding of the SCR reactions, the NH3 surface coverage ratio was selected as the control objective. The proposed MPC-assisted method was compared with conventional controllers such as PID and linear MPC (LMPC). Simulation results exhibited that the MPC-assisted approach can achieve a SCR ammonia surface coverage ratio control with much smaller root mean square error compared to these of other controllers while maintaining a manageable computational demand, and in turn better control of tailpipe NOx and ammonia emissions.


2014 ◽  
Vol 1023 ◽  
pp. 125-131
Author(s):  
Li Ming Ren ◽  
Lei Wang ◽  
Chun Yu Wang ◽  
Jing Xue An

This paper presents a research on the problem of catalyst failure in a selective catalytic reduction (SCR) system. The preliminary analysis indicates that the catalyst failure is caused by abrasion. For this, firstly, the mechanism of abrasion is analyzed through a field experiment. Secondly, according to the results from the field experiment, a scheme is put forward to optimize the flow field. Finally, the application results show that the uniformity of fly ash distribution in the flue gas are improved prominently, the reliability of the SCR system is enhanced at the same time.


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