Optimizing flow field in an SCR system of a 600 MW power plant: effects of static mixer alignment style

Author(s):  
Dong Ye ◽  
Xiaoxiang Wang ◽  
Runxian Wang ◽  
Shujie Gao ◽  
Hui Liu ◽  
...  
2012 ◽  
Vol 610-613 ◽  
pp. 1533-1539 ◽  
Author(s):  
Xing Lian Ye ◽  
Ding Yang

Based on the Selective Catalystic Reduction (SCR) DeNOx project for 2×330MW-unit in a coal power plant, the gas flow field in SCR system has been optimized by numerical simulation. The optimized simulation results were compared with the physical model experiment, and the fly ash sedimentation in the duct was also investigated. Correlation analysis of the results shows that, the flow field predicted by numerical simulation matches very well with that of physical model experiment. Numerical simulation can not only predict but also improve the flow field in SCR system. The combination of simulation and physical model experiment provides a reliable basis for flow field optimization design in SCR system.


2021 ◽  
Author(s):  
Yanpeng Xu ◽  
Zhiqiang Xia ◽  
Shulan Gan ◽  
Gan Wan ◽  
Yingsheng Qu ◽  
...  

In this paper, Computational Fluid Dynamics (CFD) and Flow Model Test are applied to study the flow field of 200MW coal fired power plant, then the optimization program is proposed. Firstly, this paper summarizes some essential design points for SCR reactor system with different structures and different characteristic. Then, the initial flow field of the SCR reactor was simulated to find the defect by the Fluent. Then, optimize the flow fields of velocity of SCR system by adding splitters. In order to improve the mixing degree of flue gas and ammonia, Ammonia Injector Grids (AIG) was designed on the basis of the structure of SCR reactor. Considering the pressure loss and installation space were within allowed limits, a new static mixer was designed to optimize the flow fields of concentration. Through the shift of size, angle and altitude of the static mixer, this paper got a best design project. The research results can provide theoretical support and engineering guidance for the transformation and optimization of the new SCR denitration engineering reaction system.


2011 ◽  
Vol 54 (9) ◽  
pp. 2475-2482 ◽  
Author(s):  
WanXi Zhang ◽  
LiJun Yang ◽  
XiaoZe Du ◽  
YongPing Yang

2012 ◽  
Vol 248 ◽  
pp. 391-394
Author(s):  
Wen Zhou Yan ◽  
Wan Li Zhao ◽  
Qiu Yan Li

By using the computational fluid dynamics code, FLUENT, Numerically simulation is investigated for Youngshou power plant. Under the constant ambient temperature, the effects of different wind speed and wind direction on the thermal flow field are qualitatively considered. It was found that when considering about the existing and normally operating power plants, the thermal flow field is more sensitive to wind direction and wind speed. Based on the above results, three improved measures such as: increasing the wind-wall height and accelerating the rotational speed of the fans near the edge of the ACC platform and lengthen or widen the platform are developed to effectively improving the thermal flow field, and enhanced the heat dispersal of ACC.


2002 ◽  
Vol 2 ◽  
pp. 81-105 ◽  
Author(s):  
C.P. Ehrler ◽  
J.R. Steinbeck ◽  
E.A. Laman ◽  
J.B. Hedgepeth ◽  
J.R. Skalski ◽  
...  

A study to determine the effects of entrainment by the Diablo Canyon Power Plant (DCPP) was conducted between 1996 and 1999 as required under Section 316(b) of the Clean Water Act. The goal of this study was to present the U.S. Environmental Protection Agency (EPA) and Central Coast Regional Water Quality Control Board (CCRWQCB) with results that could be used to determine if any adverse environmental impacts (AEIs) were caused by the operation of the plant’s cooling-water intake structure (CWIS). To this end we chose, under guidance of the CCRWQCB and their entrainment technical working group, a unique approach combining three different models for estimating power plant effects: fecundity hindcasting (FH), adult equivalent loss (AEL), and the empirical transport model (ETM). Comparisons of the results from these three approaches provided us a relative measure of confidence in our estimates of effects. A total of 14 target larval fish taxa were assessed as part of the DCPP 316(b). Example results are presented here for the kelp, gopher, and black-and-yellow (KGB) rockfish complex and clinid kelpfish. Estimates of larval entrainment losses for KGB rockfish were in close agreement (FH is approximately equals to 550 adult females per year, AEL is approximately equals to 1,000 adults [male and female] per year, and ETM = larval mortality as high as 5% which could be interpreted as ca. 2,600 1 kg adult fish). The similar results from the three models provided confidence in the estimated effects for this group. Due to lack of life history information needed to parameterize the FH and AEL models, effects on clinid kelpfish could only be assessed using the ETM model. Results from this model plus ancillary information about local populations of adult kelpfish suggest that the CWIS might be causing an AEI in the vicinity of DCPP.


2020 ◽  
Vol 165 ◽  
pp. 01006
Author(s):  
Yiquan Guo ◽  
Junying Zhang

In this paper, a collision model between atomized droplets of agglomeration solution and particles is established. On this basis, the effects of flue gas temperature, atomized droplet diameter and other factors on the particle agglomeration process are studied. In addition, the evaporation model of agglomeration solution in the flue of a power plant is established for the coal-fired unit of power plant. Through CFD software, the variation of flow field velocity, temperature and pressure in the flue is simulated to determine whether the chemical agglomeration technology has negative impact on the actual operating conditions of the power plant. The simulation results show that the velocity and pressure of the flow field in the flue have no obvious change after the agglomerating agent is injected. Besides, the temperature drop of about 7°C. The droplets evaporate completely at a distance of 7-8 m after spraying. The evaporation time of droplets is within 1.6 s.


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