光催化
工艺工程
蒙特卡罗方法
生化工程
商业化
比例(比率)
焊剂(冶金)
反应堆设计
环境科学
材料科学
计算机科学
催化作用
核工程
工程类
化学
物理
数学
生物化学
统计
量子力学
政治学
法学
冶金
作者
John Akach,John Kabuba,Aoyi Ochieng
标识
DOI:10.1002/9781394167289.ch9
摘要
Recently, the removal of recalcitrant chemicals in wastewater by photocatalysis has attracted significant attention due to its economic and environmental benefits. Despite numerous laboratory-scale studies and a few pilot-scale applications, commercialization of photocatalysis is yet to be realized. This can be attributed in part to inadequate tools for the design and optimization of photocatalytic reactors. In this respect, several studies have focused on the modeling and simulation of photocatalytic reactors. It has been observed that the distribution of light has a strong influence on photoreactor performance. Consequently, several techniques have been developed for the analysis of light distribution, including the P1, six flux, discrete ordinates, and Monte Carlo methods. In this chapter, these methods will be discussed, as well as other issues affecting reactor simulation, such as the boundary conditions, catalyst optical properties, and validation. Also, the relationship between light absorption and kinetics will be evaluated.
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