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Unconventional advanced oxidation technique: Evaporation liquid rate and phenolic compounds degradation evaluation and modelling/optimization process with CFD, RSM and ANNs

机译:非常规先进的氧化技术:蒸发液速率和酚类化合物的降解评价和模拟/优化/优化/优化过程与CFD,RSM和ANN

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摘要

This study aims to develop unconventional advanced oxidation processes for managing phenolic effluents generated from thermochemical oxidation using Direct Contact Thermal Treatment (DiCTT) for liquid water reuse. The DiCTT system uses a stainless-steel reactor described by the combustion of natural gas and production of hydroxyl radicals (center dot OH), which ensures its compact installation and application to offshore oil-exploration platforms where natural gas is accessible and space is limited. The oxidation of phenolic compounds is evaluated under atmospheric pressure, which controls the rate of evaporation of the phenol to the environment during the combustion step, and thus helps avoid incineration in the liquid phase. The efficiency of the process is studied as a function of three independent variables: natural gas flow rate (QGN, 2-4 m(3).h(-1)), air excess (E, 10-50%), and recycling rate of the combustion gases (QRG, 0-100%). Optimal conditions identified for complete phenol degradation (99%) and total organic carbon (TOC) conversion (30%) for a given rate of evaporation for the liquid phase (less than11%) and effluent temperature (70-78 degrees C) were Q(GN) = 4 m(3).h(-1), E = 10%, and QRG = 100%. For modelling and optimization of results, Computational Fluid Dynamics (CFD), Response Surface Method (RSM) and Artificial Neural Network (ANN) technique were used. These techniques have shown to be very promising in the prediction of contaminant degradation and in the optimization of this type of mechanism.
机译:本研究旨在为使用直接接触热处理(DICTT)进行热化学氧化(DICTT)来发展管理从热化学氧化产生的酚类流出物的非常规的先进氧化过程。 DICTT系统使用天然气燃烧和羟基自由基的燃烧(中央点OH)描述的不锈钢反应器,这确保了其紧凑的安装和应用于自然气体可访问的天然气和空间有限。在大气压下评价酚类化合物的氧化,从而在燃烧步骤中控制苯酚对环境的蒸发速率,从而有助于避免液相中的焚烧。研究了该方法的效率作为三个独立变量的函数:天然气流速(QGN,2-4米(3).h(1)),空气过量(E,10-50%)和回收燃烧气体的速率(QRG,0-100%)。用于完全酚类降解(& 99%)和总有机碳(TOC)转化(& 30%)的最佳条件,对于液相(小于11%)和流出温度(70-78度) c)是Q(gn)= 4m(3).h(-1),e = 10%,QRG = 100%。用于结果的建模和优化,使用计算流体动力学(CFD),响应面法(RSM)和人工神经网络(ANN)技术。这些技术已经表明在预测污染物降解和这种类型机制的优化中非常有前途。

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