Structural and Operating Optimization of the Methanol Process Using a Metaheuristic Technique,ACS Sustainable Chemistry & Engineering

当前位置： X-MOL 学术 › ACS Sustain. Chem. Eng. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Structural and Operating Optimization of the Methanol Process Using a Metaheuristic Technique
ACS Sustainable Chemistry & Engineering ( IF 7.1 ) Pub Date : 2020-02-05 , DOI: 10.1021/acssuschemeng.9b05981
Luis German Hernandez-Perez ₁ , Abdulrahman S. Alsuhaibani ₂ , Neyara Radwan _{3,

4} , Mahmoud M. El-Halwagi ₂ , Jose Maria Ponce-Ortega ₁

Affiliation

This paper presents a systematic approach for the synthesis, selection, design, and optimization of methanol plants. A metaheuristic optimization approach is proposed to reconcile the economic and environmental objectives of the process while incorporating simulation tools for the reliable modeling of the generated alternatives. In addition to shale/natural gas as the primary feedstock, CO₂ utilization is considered. Nine different configurations were synthesized, analyzed, and optimized. The optimization variables included the structural configurations as well as design and operating variables such as flowrates, temperatures, and pressures. The model is a multiobjective problem involving economic and environmental objectives. The economic objective function consists of maximizing the net profit. The environmental objective function is aimed at minimizing the total annual CO₂ emissions. To perform the optimization of this problem, process data were obtained from the chemical process simulation software Aspen HYSYS. The used stochastic optimization algorithm was an improved multiobjective differential evolution. A client–server interface based on Component Object Module technology using Excel-Visual Basic for Applications scripts was developed to call the Aspen HYSYS simulator repetitively for various sets of input variables. The results offer attractive options for both the economic and the environmental objectives.

中文翻译：

利用元启发式技术优化甲醇工艺的结构和操作

本文提出了一种甲醇合成，选择，设计和优化的系统方法。提出了一种元启发式优化方法，以兼顾过程的经济和环境目标，同时并入了用于对生成的替代方案进行可靠建模的仿真工具。除了页岩/天然气作为主要原料外，CO ₂考虑利用率。合成，分析和优化了九种不同的配置。优化变量包括结构配置以及设计和操作变量，例如流量，温度和压力。该模型是涉及经济和环境目标的多目标问题。经济目标函数包括使净利润最大化。环境目标函数旨在最大程度减少年度总CO ₂排放。为了优化该问题，从化学过程模拟软件Aspen HYSYS获得了过程数据。所使用的随机优化算法是一种改进的多目标差分进化算法。开发了一种基于组件对象模块技术的客户端-服务器接口，该组件使用Excel-Visual Basic for Applications脚本，以针对各种输入变量集重复调用Aspen HYSYS模拟器。结果为经济和环境目标提供了有吸引力的选择。

更新日期：2020-02-06

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11