TY - JOUR
T1 - Multi-objective optimization of methanol production for energy efficiency and environmental sustainability
AU - Wolday, Ataklti Kahsay
AU - Gujarathi, Ashish M.
AU - Ramteke, Manojkumar
N1 - Funding Information:
The presented work is a part of the academic requirement of the Ph.D. degree of Mr. Ataklti Kahsay Wolday. Also, we would like to acknowledge AspenTech for an academic license.
Publisher Copyright:
© 2023 Elsevier Ltd
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PY - 2023/11/1
Y1 - 2023/11/1
N2 - 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.
AB - 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.
KW - Methanol production
KW - Modeling and simulation
KW - Optimization
KW - Sustainability
KW - Syngas
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UR - https://www.mendeley.com/catalogue/84ca27bf-ae00-3073-9475-7287d0bbcd94/
U2 - 10.1016/j.compchemeng.2023.108426
DO - 10.1016/j.compchemeng.2023.108426
M3 - Article
AN - SCOPUS:85172256892
SN - 0098-1354
VL - 179
JO - Computers and Chemical Engineering
JF - Computers and Chemical Engineering
M1 - 108426
ER -
