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Optimization Investigation on Operating Parameters of a Scrubbing Tower Using a Genetic Algorithm
Chemical Engineering & Technology ( IF 2.1 ) Pub Date : 2020-08-02 , DOI: 10.1002/ceat.201900524
Simin Wang 1 , Jiarui Wang 1 , Chen Song 1 , Jian Wen 2
Affiliation  

To solve the problem of coke powder entrainment towards the main fractionator in a delayed coking unit, an open scrubbing tower can be installed instead of filtration. Based on a particle scavenging model, a gas‐liquid‐solid three‐phase numerical method was adopted to simulate the process of particle removal. Besides, the effects of particle size, droplet size, gas velocity, and droplet flow rate are quantitatively assessed using the genetic aggregation response surface method. The results indicate that the formation of a liquid film can promote the heat transfer and particle removal. The collection efficiencies of interception and diffusion are much less than that of impaction. After response surface analysis, the local sensitivity of operating parameters and the optimized point are obtained.

中文翻译:

遗传算法在洗涤塔运行参数优化研究中的应用

为了解决延迟焦化装置中焦粉向主分馏塔的夹带问题,可以安装开放式洗涤塔来代替过滤。在颗粒清除模型的基础上,采用气液固三相数值方法模拟了颗粒清除过程。此外,使用遗传聚集响应面法定量评估了粒径,液滴尺寸,气体速度和液滴流速的影响。结果表明,液膜的形成可以促进热传递和颗粒去除。拦截和扩散的收集效率远小于撞击的收集效率。经过响应面分析,得到了运行参数的局部灵敏度和最佳点。
更新日期:2020-09-21
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