Optimization of SO2 Scrubber Using CFD Modeling

Brown, K.B.; Kalata, Wojciech; Schick, R.

doi:10.1016/j.proeng.2014.09.035

Cited by 16 publications

(10 citation statements)

References 4 publications

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“…Three parameters are required to analyze the numerical results: M f is the maldistribution factor (

M_{f} = \frac{1}{A} \iint {(\frac{u_{ig} - u_{g}}{u_{g}})}^{2} italicdA

, A is the area of cross section, u ig is the gas velocity in point i, u g is gas average velocity), liquid hold‐up is the average liquid volume fraction in a certain area, and interfacial area is the average interfacial area in a certain volume (S, m 2 /m 3 ).…”

Section: Resultsmentioning

confidence: 99%

Synergistic effect between spraying layers on the performance of the WFGD spray column

Wang

Dai

2018

Asia-Pacific J Chem Eng

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In a WFGD spray column, spraying droplets have dual duties of optimizing flow uniformity and providing interfacial area for mass transfer but have contradiction in selection of diameter. In this paper, a synergistic effect between smaller and bigger droplets is proposed to improve the performance of the column, which is to enlarge the interfacial area and optimize the flow uniformity in different layers, and it is used to create a novel design scheme. Through the study of the flow uniformity in the spray column, the detail of this design scheme is proposed as followed: The minimum flow rate and proper droplet diameter should be selected in the bottom layer to achieve the flow uniformity, and smaller droplets can be used in the rest layer to enlarge the interfacial area as much as possible. Compared with the traditional scheme, the liquid hold-up has increased 16%-30%, and the interfacial area has increased 32%-56% in novel scheme. In practice, this novel design scheme can provide reference and guidance for large scale spray columns. KEYWORDS droplet self-adjustment effect, flow uniformity, interfacial area, synergistic effect

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“…Three parameters are required to analyze the numerical results: M f is the maldistribution factor (

M_{f} = \frac{1}{A} \iint {(\frac{u_{ig} - u_{g}}{u_{g}})}^{2} italicdA

Section: Resultsmentioning

confidence: 99%

Synergistic effect between spraying layers on the performance of the WFGD spray column

Wang

Dai

2018

Asia-Pacific J Chem Eng

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“…The governing equations for airflow are the continuity equation and the steady Reynolds-averaged Navier-Stokes equations coupled with the standard k−ε turbulence model [40]. The employed turbulent model used in the CFD was the k-ε model, which has good atmospheric boundary layer estimation accuracy [33,41,42].…”

Section: Cfd Simulationmentioning

confidence: 99%

“…With advancements in computational resources and grid generation techniques, the computational fluid dynamics (CFD) models are increasingly being used to simulate pollutant transport and dispersion in urban areas [29][30][31][32]. CFD is a numerical method used to numerically analyze flow motion and can adequately address most flow fields [33]. CFD is particularly suited for highresolution modeling in space and time of wind velocity, temperature and concentration fields for statistically stationary conditions [25].…”

Section: Introductionmentioning

confidence: 99%

Modeling the Impact of Urban Three-Dimensional Expansion on Atmospheric Environmental Conditions in an Old Industrial District: A Case Study in Shenyang, China

Liu

et al. 2020

Pol. J. Environ. Stud.

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The rapid expansion of cities has caused enormous changes in the underlying surface, and coupled with the intensification of human activities, it has resulted in a series of ecological and environmental problems, such as urban heat island, air pollution, and so on. Through combining building height and air pollution source information, and using the computational fluid dynamics (CFD) model, this study simulated the distribution characteristics of wind speed, temperature and SO 2 concentration under the condition of urban three-dimensional expansion, and then the analysis was performed on the influence of three-dimensional expansion on air environment diffusion during winter and spring in the Shenyang Tiexi District under the urban landscape pattern of 2005 and 2011. Monitoring data from 10 sampling sites were used to validate the model. The results showed that the R 2 values for wind speed, temperature and SO 2 were 0.76, 0.79 and 0.64, respectively. The wind speed, temperature and SO 2 concentration distribution pattern at the same height of the study area is obviously different because of the differences in urban building height, density and layout between 2005 and 2011. From 2005 to 2011, with the change in the urban architecture landscape pattern, the city corridor significantly changed.

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“…Economy is also an important concern of WFGD operation. Researchers have made efforts to optimize WFGD on scrubber structure modification (Brown, Kalata, and Schick 2014;Li et al 2015;Zhu et al 2015a) and operating parameter tuning (Liu and Yu 2012;Wang et al 2010). The control system has also been improved to guarantee stability of the desulfurization process (Villanueva Perales et al 2010Wu, Shen, and Zhang 2011).…”

Section: Introductionmentioning

confidence: 99%

Modeling and optimization of wet flue gas desulfurization system based on a hybrid modeling method

Guo

Zheng

et al. 2019

Journal of the Air & Waste Management Association

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Sulfur dioxide (SO 2 ) is one of the main air pollutants from many industries. Most coal-fired power plants in China use wet flue gas desulfurization (WFGD) as the main method for SO 2 removal. Presently, the operating of WFGD lacks accurate modeling method to predict outlet concentration, let alone optimization method. As a result, operating parameters and running status of WFGD are adjusted based on the experience of the experts, which brings about the possibility of material waste and excessive emissions. In this paper, a novel WFGD model combining a mathematical model and an artificial neural network (ANN) was developed to forecast SO 2 emissions. Operation data from a 1000-MW coal-fired unit was collected and divided into two separated sets for model training and validation. The hybrid model consisting a mechanism model and a 9-input ANN had the best performance on both training and validation sets in terms of RMSE (root mean square error) and MRE (mean relative error) and was chosen as the model used in optimization. A comprehensive cost model of WFGD was also constructed to estimate real-time operation cost. Based on the hybrid WFGD model and cost model, a particle swarm optimization (PSO)-based solver was designed to derive the cost-effective set points under different operation conditions. The optimization results demonstrated that the optimized operating parameters could effectively keep the SO 2 emissions within the standard, whereas the SO 2 emissions was decreased by 30.79% with less than 2% increase of total operating cost.Implications: Sulfur dioxide (SO 2 ) is one of the main pollutants generated during coal combustion in power plants, and wet flue gas desulfurization (WFGD) is the main facility for SO 2 removal. A hybrid model combining SO 2 removal mathematical model with data-driven model achieves more accurate prediction of outlet concentration. Particle swarm optimization with a penalty function efficiently solves the optimization problem of WFGD subject to operation cost under multiple operation conditions. The proposed model and optimization method is able to direct the optimized operation of WFGD with enhanced emission and economic performance.

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Optimization of SO2 Scrubber Using CFD Modeling

Cited by 16 publications

References 4 publications

Synergistic effect between spraying layers on the performance of the WFGD spray column

Synergistic effect between spraying layers on the performance of the WFGD spray column

Modeling the Impact of Urban Three-Dimensional Expansion on Atmospheric Environmental Conditions in an Old Industrial District: A Case Study in Shenyang, China

Modeling and optimization of wet flue gas desulfurization system based on a hybrid modeling method

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