Evolutionary multi-criteria optimization aspects for sulfuric acid plant toward more economic, environmentally friendly and efficient process

Zainab Al Ani, Ashish M. Gujarathi*, G. Reza Vakili-Nezhaad, Talal Al Wahaibi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Acid and greenhouse gaseous emissions as well as the physical exergy are massive challenges associated with sulfuric acid plants. Minimizing these critical problems along with maximizing the economic efficiency of the plant is of important concern. A selected plant was simulated with Aspen Plus and used for this multi-objective optimization (MOO) study. MOO was carried out with excel-based MOO with elitist non-dominated sorting genetic algorithm-II. Decision variables such as air, steam- and water- flow rates, reactors- and columns- operating pressures were considered to get the Pareto optimal front for the selected objectives (product sales, utility cost, total production cost, global warming potential, acidification potential, and physical exergy). It was found that air, steam and water flow rates have a strong impact in most cases. For example, FCI is reduced from 4.37E + 07 to 4.00E + 07 $ as air flow rate went from 3.62E + 03 to 3.40E + 03 kmol/hr in case 1. While the other objective in case 1, AP, increased from 1.68E + 05 to 2.98E + 05. The obtained trade-offs were ranked using Net Flow Method to identify the best solutions. The attained Pareto fronts provided set of equally good- and non-dominated solutions corresponding to the conflicting objectives involved in the process.

Original languageEnglish
Pages (from-to)3649-3666
Number of pages18
JournalChemical Papers
Volume75
Issue number7
DOIs
Publication statusPublished - Jul 2021
Externally publishedYes

Keywords

  • Economic evaluation
  • Evolutionary algorithms
  • Multi-objective optimization
  • Pareto optimal front
  • Sulfuric acid production process

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering
  • Materials Chemistry

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