Open AccessOptimization process for ethylene glycol production using the Pareto solution
Author(s) -
Muhammad Syafiq Sulaiman,
Fakhrony Sholahudin Rohman,
N. Aziz
Publication year - 2021
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/1011/1/012003
Subject(s) - ethylene glycol , energy consumption , pareto principle , process engineering , flexibility (engineering) , multi objective optimization , production (economics) , mathematical optimization , process optimization , computer science , environmental science , mathematics , engineering , environmental engineering , chemical engineering , economics , microeconomics , statistics , electrical engineering
In this work, ε -constraint approach within ASPEN Plus environment is used to generate the Pareto solutions for two objectives: maximize productivity and minimize energy consumption, for the ethylene glycol production. Each point of Pareto solutions consists of different optimal temperature and hydrogen flowrate values, which lead to distinct amount of energy consumption and ethylene glycol product rate. These solutions give flexibility in evaluating the trade-offs and selecting the most suitable operating policy. The most satisfactory optimum and trade-off of both objectives is determined. The optimum value for ethylene glycol production and energy consumption are 109.92 kmol/hr and 11227860.10 kJ/hr, respectively, while the trade-off values are 18.02 kmol/hr and 10903846.2 kJ/hr, respectively. The comparison between multi-objective optimization and single-objective optimization concludes that a high benefit against disadvantages is achieved by implementing multi-objective optimization. The difference between multi-objective optimization and single-objective optimization for ethylene glycol production and energy consumption are –5.65 kmol/hr and 17526931.8 kJ/hr, respectively.