...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Fuel >8-Lump kinetic model for fluid catalytic cracking with olefin detailed distribution study
【24h】

8-Lump kinetic model for fluid catalytic cracking with olefin detailed distribution study

机译：烯烃流化催化裂化的8团动力学模型详细分布研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Modeling fluid catalytic cracking (FCC) riser reactors is of significant importance in FCC unit control, optimization and failure detection, as well as development and design of new riser reactors. In this study, kinetic behavior of vacuum gas oil (VGO) catalytic cracking is studied by developing an 8-lump kinetic model to describe the product distribution. The feedstock and products are divided into eight lumps by reasonably simplifying reaction network, including VGO feed, diesel oil and gasoline, LPG, butylenes, propylene, ethylene, light gases, and coke. A time-on-stream non-selective catalytic activity equation is also assumed to model deactivation mechanism. Twenty-seven pairs of model kinetic parameters are estimated using two different optimization methods, namely: non-dominated sorting genetic algorithm II (NSGA-II), and chaotic particle swarm optimization (C-PSO) algorithm. Performances of both optimization methods are compared and C-PSO algorithm is selected as the superior method in terms of computation time and finding the global optimum. In the current research, based on validated estimated parameters of the preferred C-PSO method, the effects of some operating parameters on product yields distribution are investigated and discussed. This model can be used to predict the riser key products and their compositions with high degree of accuracy which may be especially useful for the conventional FCC processes with olefins production streams.
机译：在FCC单元控制，优化和故障检测以及新型立管反应堆的开发和设计中，流化催化裂化（FCC）立管反应堆的建模非常重要。在这项研究中，通过建立8团块动力学模型来描述产物分布，研究了减压瓦斯油（VGO）催化裂化的动力学行为。通过合理简化反应网络，将原料和产品分为八块，包括VGO进料，柴油和汽油，液化石油气，丁烯，丙烯，乙烯，轻质气体和焦炭。还假设了一个运行时间非选择性催化活性方程式，以对失活机理进行建模。使用两种不同的优化方法估算了27对模型动力学参数，分别是：非支配排序遗传算法II（NSGA-II）和混沌粒子群优化算法（C-PSO）。比较两种优化方法的性能，并选择C-PSO算法作为计算时间和寻找全局最优方法的优良方法。在当前的研究中，基于首选C-PSO方法的经过验证的估计参数，研究和讨论了一些操作参数对产品产量分布的影响。该模型可用于高度准确地预测冒口关键产品及其组成，这对于使用烯烃生产流的常规FCC工艺可能特别有用。

著录项

  • 来源
    《Fuel》 |2018年第1期|322-335|共14页
  • 作者

    Sani A. Golrokh; Ebrahim H. Ale; Azarhoosh M. J.;

  • 作者单位

    Amirkabir Univ Technol, Petrochem Ctr Excellence, Chem Engn Dept, Tehran, Iran;

    Amirkabir Univ Technol, Petrochem Ctr Excellence, Chem Engn Dept, Tehran, Iran;

    Urmia Univ, Fac Engn, Chem Engn Dept, Orumiyeh, Iran;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    VGO catalytic cracking; Riser reactor; Olefins; Lumped kinetics model;

    机译：VGO催化裂化;提升管反应器;烯烃;集总动力学模型;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号