# [1]张璐,钟文琪,李益国,等.面向DCS优化控制的氨法脱硫过程模拟[J].东南大学学报(自然科学版),2018,48(3):435-442.[doi:10.3969/j.issn.1001-0505.2018.03.009] 　Zhang Lu,Zhong Wenqi,Li Yiguo,et al.Simulation of ammonia desulfurization process for DCS optimization control[J].Journal of Southeast University (Natural Science Edition),2018,48(3):435-442.[doi:10.3969/j.issn.1001-0505.2018.03.009] 点击复制 面向DCS优化控制的氨法脱硫过程模拟() 分享到： var jiathis_config = { data_track_clickback: true };

48

2018年第3期

435-442

2018-05-20

## 文章信息/Info

Title:
Simulation of ammonia desulfurization process for DCS optimization control

Author(s):
Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, China

Keywords:

TK16
DOI:
10.3969/j.issn.1001-0505.2018.03.009

Abstract:
A three-dimensional numerical model for a desulfurization tower gas-liquid flow coupling with chemical reaction in mass transfer of the ammonia desulfurization process was established to achieve the optimization control. The k-ε turbulence model was used for the gas phase trajectories were calculated by a discrete particle model and the two-film theory absorption model was used for the absorption of SO2. The influences of gas velocity, the initial concentration of SO2 and liquid-gas ratio on the desulfurization efficiency(η)of sulfur dioxide were studied by the numerical simulation on a model of two spray tower and single tower flue gas was 750 000 m3/h. Research results show that the desulfurization efficiency decreases with the increase of the gas velocity and the initial concentration of SO2, or with the decrease of liquid-gas ratio. The DCS(distributed control system)optimization control function is established combined with the field operation data based on the numerical simulation result. The flow field visualization module is developed and loaded to the DCS of power plant combined with the optimization control function by the using of Visual C++ and MATLAB mixed programming. The real-time analysis on data and DCS optimization control is realized in the flue gas desulfurization system of 360 MW thermal power plant and desulfurization efficiencies are ensured by 95% to 99%.

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