
Non–linear dynamic studies in Distillation columns: A Case study of industrial effluent
Author(s) -
Asma Iqbal,
Syed Akhlaq Ahmad
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/577/1/012109
Subject(s) - effluent , variable (mathematics) , distillation , process engineering , work (physics) , industrial effluent , selection (genetic algorithm) , linearity , environmental science , process (computing) , control variable , computer science , control (management) , control theory (sociology) , engineering , environmental engineering , mathematics , chemistry , mechanical engineering , chromatography , artificial intelligence , mathematical analysis , electrical engineering , machine learning , operating system
This work addresses the non-linear behaviour of distillation columns when there is an inappropriate selection of control variable in a system. An industrial effluent discharged from semi-conductor and pharmaceutical industries has been taken as a case study. A small disturbance in feed flow rate and feed composition has resulted in a ramp-like response of a recycle stream which has occurred due to the material imbalance in the system. This non-linearity in the process has been resolved by the selection of appropriate control variable.