在线客服: 点击这里给我发消息  新用户使用步骤:会员注册→充值→重新登入→进入资源
标题:Economic and environmental optimization of the biobutanol purification process
时间:2020-01-15 11:01:50
DOI:10.1007/s10098-015-1024-8
关键词:Biobutanol separation;Economic and environmental optimization;Differential evolution with tabu list;Biofuels;Solar collector;
出版源: 《Clean Technologies & Environmental Policy》 ,18 (2) :395-411
摘要:Current technologies for the production of biobutanol by fermentation have improved the production processes. These new technology improvements are economically viable with respect to the petrochemical pathway. For this, the aim of this paper is to compare four different process designs for the purification of biobutanol by solving a multi-objective optimization process involving two objective functions: the total annual cost and return of investment as economic functions and the associated eco-indicator 99 as an environmental function. The process associated to the routes A, B, and C consists of a steam stripping distillation and distillation columns, while the process D includes distillation columns with a liquid–liquid extraction column. Process modeling was performed in the Aspen Plus software, and the multi-objective optimization was conducted using differential evolution with tabu list as a stochastic optimization method. Results indicate that the process route D is the most profitable design and the process route C has the lowest environmental impact measured through the eco-indicator 99 method. Additionally, the use of a solar collector against steam has been compared in order to produce the required heat duty needed in every single distillation column to have a broader view about the environmental and economic impact of these devices.
大小:2043 kb
页数:18 PAGES
下载: 点击下载
预览:

浏览器不支持嵌入PDF阅读,打开新页面在线阅读

目录:
  • Economic and environmental optimization of the biobutanol purification process
    • Abstract
    • Introduction
    • Problem statement
    • Optimization problem
      • Economic objective function
        • Process route A and B
        • Process route C
        • Process route D
      • Environmental objective function
    • Global stochastic optimization strategy
    • Results
    • Conclusions
    • References

本页内容由网络收集而来,版权归原创者所有,如有侵权请及时联系