Two-Dimensional Mathematical Model for Flue Gas Desulfurization in a Spray Column at Low Temperatures with Seawater: Design and Optimization

Tavan, Yadollah; Hosseini, Seyyed Hossein; Olazar, Martı́n

doi:10.1021/acs.energyfuels.6b00139

Cited by 2 publications

(1 citation statement)

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“…The absorption area height, H 2 , accounts for the largest proportion among H 1 , H 2 , H 3 , and H 4 , and thus H 2 possesses the greatest potential for height reduction and being used as an input. In addition, it is necessary to consider the operational parameter liquid‐to‐gas ratio L / G , the flue inlet angle θ , and the number of spray levels N , as they significantly influence η . The input variables x 1 ‐ x 5 and output y of the model can be expressed as follows:

{\begin{matrix} x_{1} \\ x_{2} \\ x_{3} \\ x_{4} \\ x_{5} \\ y \end{matrix}} = {\begin{matrix} L / G \\ D_{1} \\ H_{2} \\ θ \\ N \\ η \end{matrix}}

…”

Section: Optimization Methodsmentioning

confidence: 99%

Structure Optimization of Vessel Seawater Desulphurization Scrubber Based on CFD and SVM‐GA Methods

et al. 2019

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The miniaturization of the scrubber used in vessel flue gas desulphurization is a critical issue. In this study, the structure optimization of the vessel desulphurization scrubber based on CFD (computational fluid dynamics) and the SVM‐GA (support vector machine and genetic algorithm) is performed and a miniaturized scrubber design with the same desulphurization efficiency as large scrubbers is obtained. First, the seawater SO2 absorption process in a vessel desulphurization scrubber is investigated using the CFD‐DPM method, and the effects of the operating and structural parameters on the desulphurization efficiency η are discussed in detail. Results show that η is positively correlated to the absorption area height, H2, and the spray level number, N, and η first increases and then decreases with an increase in the scrubber diameter, D1, as well as the inlet flue angle, θ. Then, a prediction model of η considering D1, H2, θ, and N is established and validated using the SVM with the simulation data. Finally, D1, H2, θ, and N are optimized using the GA method based on the SVM model. The results show that the volume of the absorption area, Vab, can be reduced by 30 % while maintaining the same η through the use of this optimization method.

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