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首页> 外文期刊>International Journal of Heat and Mass Transfer >Parameter analysis of atomized droplets sprayed evaporation in flue gas flow
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Parameter analysis of atomized droplets sprayed evaporation in flue gas flow

机译:烟气雾化液滴喷雾蒸发的参数分析

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Spraying flue gas desulfurization (FGD) wastewater into the flue duct is a promising technology to achieve zero emission of wastewater by evaporation in thermal power plants. To deal with the scale and corrosion on flue duct walls resulted from the incomplete droplets evaporation, a combined Eulerian-Lagrangian model was developed to reveal the thermo-fluid behavior of the FGD wastewater spray evaporation in the flue gas. The effects of several control factors under various operating conditions were conducted numerically and validated against experimental data. Because of the complex influences of numerous parameters, the Least-Square support vector machine (LSSVM) model based on numerical results is employed to predict the evaporation rate of droplets. The dominant factors, including that of droplets size distribution, flue gas velocity and flow rate, full cone angle and spray direction of nozzle, were analyzed to reveal their impacts on the droplets sprayed evaporation rate and distance, respectively. It is concluded that spaying droplets in the co-flow direction of flue gas can contribute the dispersion of droplets and enhance the relative movement of two-phase flow, achieving the maximum evaporation rate of droplets. An optimized arrangement of multiple nozzles having a small flow rate is proposed to improve the evaporation rate of droplets. The proposed LSSVM model can expeditiously predict the evaporation rate of droplets along the flue duct with high accuracy. The findings can be used to guide the design of spraying FGD wastewater treatment under practical operating conditions in power plants. (C) 2018 Elsevier Ltd. All rights reserved.
机译:将烟道气脱硫(FGD)废水喷入烟道是一种有前途的技术,可通过热电厂的蒸发实现废水零排放。为了处理由于液滴蒸发不完全而导致的烟道壁上的水垢和腐蚀,建立了一个欧拉-拉格朗日组合模型以揭示烟气中烟气脱硫废水喷雾蒸发的热流体行为。对各种控制因素在各种工况下的影响进行了数值模拟,并根据实验数据进行了验证。由于众多参数的复杂影响,基于数值结果的最小二乘支持向量机(LSSVM)模型被用来预测液滴的蒸发速率。分析了主要因素,包括液滴尺寸分布,烟气速度和流速,全锥角和喷嘴的喷射方向,以揭示它们分别对液滴喷射的蒸发速率和距离的影响。结论是,在烟气的并流方向上散布液滴可以促进液滴的分散并增强两相流的相对运动,从而实现液滴的最大蒸发速率。提出了具有小流速的多个喷嘴的优化布置,以提高液滴的蒸发速率。提出的LSSVM模型可以快速准确地预测烟道中液滴的蒸发速率。该发现可用于指导电厂实际运行条件下的喷雾烟气脱硫废水处理设计。 (C)2018 Elsevier Ltd.保留所有权利。

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