首页    期刊浏览 2024年12月05日 星期四
登录注册

文章基本信息

  • 标题:Optimised Blending of a Base Metal Refinery Feed Using Evolutionary Programming
  • 本地全文:下载
  • 作者:J.J. Burchell ; J.D. le Roux ; I.K. Craig
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:21
  • 页码:268-272
  • DOI:10.1016/j.ifacol.2018.09.430
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractAt Lonmin’s base metal refinery a blending strategy is implemented to minimise variations in the mass flow of silica, iron, selenium, and tellurium into the plant. These impurities contaminate the plant’s products and control adjustments are made throughout the plant to minimise their impact. Blending smoothes the dynamics of these impurities at the input of the plant, which aids plant-wide control and ultimately improves the plant’s revenue. This work presents an (µ + λ)-evolutionary strategy to optimise the plant’s input blend and assesses its performance using historical data. With the evolutionary strategy it was possible to achieve an 84% improvement over an unblended feed and a further 48% improvement over a randomised feed strategy.
  • 关键词:Keywordsevolutionary strategyhydrometallurgyplant-wide controlblending
国家哲学社会科学文献中心版权所有