Multi-objective optimization of a fluid catalytic cracking unit using response surface methodology

IF 1 Q4 ENGINEERING, CHEMICAL
Anish Thomas, M. P. Pavan Kumar
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引用次数: 1

Abstract

Abstract In oil refineries, fluid catalytic cracking (FCC) is a major unit consisting of several process variables and multiple products. Since FCC units are given prime importance as they are contributing a large share in profits, the optimal operation of FCC is always desirable while considering the changing economic scenarios with respect to the products. However, optimization of FCC is quite challenging due to the complex nature of the process. In this work, using Aspen HYSYS V9® catcracker module, process data of FCC was obtained using central composite design (CCD). Second order regression equations for the selected responses were obtained using Analysis of variance (ANOVA) approach. The interaction effects of feed flow, feed temperature, feed pressure, air blower discharge temperature and catalyst circulation rate on responses (yield of products) were presented. Further, the optimization was performed based on a multi-response optimization technique in the Design expert software and the optimal values of the input variables were obtained for the chosen objectives (representing various operation scenarios). The optimal operation scenarios that were obtained for the objectives were validated successfully. This work highlights the use of statistics based soft computing techniques for the optimization of complex chemical engineering operations such as FCC.
用响应面法对催化裂化装置进行多目标优化
摘要在炼油厂中,流体催化裂化(FCC)是一个由多个工艺变量和多个产品组成的主要装置。由于催化裂化装置在利润中所占的份额很大,因此在考虑到产品的经济情况变化时,催化裂化装置的最佳运行总是可取的。然而,由于催化裂化过程的复杂性,优化是相当具有挑战性的。本工作采用Aspen HYSYS V9®catcracker模块,采用中心复合设计(CCD)获得FCC的工艺数据。采用方差分析(ANOVA)方法获得所选应答的二阶回归方程。考察了进料流量、进料温度、进料压力、鼓风机排气温度和催化剂循环速率对反应(产物收率)的交互作用。在Design expert软件中基于多响应优化技术进行优化,得到了所选目标(代表各种运行场景)下输入变量的最优值。对所得目标的最佳操作方案进行了验证。这项工作强调使用基于统计的软计算技术来优化复杂的化学工程操作,如FCC。
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来源期刊
Chemical Product and Process Modeling
Chemical Product and Process Modeling ENGINEERING, CHEMICAL-
CiteScore
2.10
自引率
11.10%
发文量
27
期刊介绍: Chemical Product and Process Modeling (CPPM) is a quarterly journal that publishes theoretical and applied research on product and process design modeling, simulation and optimization. Thanks to its international editorial board, the journal assembles the best papers from around the world on to cover the gap between product and process. The journal brings together chemical and process engineering researchers, practitioners, and software developers in a new forum for the international modeling and simulation community. Topics: equation oriented and modular simulation optimization technology for process and materials design, new modeling techniques shortcut modeling and design approaches performance of commercial and in-house simulation and optimization tools challenges faced in industrial product and process simulation and optimization computational fluid dynamics environmental process, food and pharmaceutical modeling topics drawn from the substantial areas of overlap between modeling and mathematics applied to chemical products and processes.
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