Abstract
In this study, a syngas-to-methanol synthesis plant is modeled using Aspen Plus and optimized using MATLAB-NSGA-II algorithm to simultaneously minimize total annual gas emissions (TAE), total system utility (TSU), and total waste (TW). Three bi-objective and one tri-objective case studies were evaluated in this work, and Pareto optimal solutions are generated. The ideal operating solution obtained among Pareto optimum solutions has 0.1137 MJ/h of TSU, 0.1579 Mtons/annum of TAE, and 33,830 kg/annum of TW for 106,422.73 tons/annum methanol production which shows a decrease of 44.798 %, 31.87 % and 34.74 % in TSU, TAE, and TW, respectively compared to base case simulation. Further, it shows 92.25 %,75.2 %, and 99.973 % reduction in TSU, TAE, and TW, respectively compared to the reported results for nearly the same methanol production rate. The findings of this research contribute to enhancing environmental sustainability and addressing green energy, cleaner methanol production fuel, and a sustainable future.
Published Version
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