TY - JOUR
T1 - Multi-objective optimization of industrial gas-sweetening operations using economic and environmental criteria
AU - Tikadar, Debasish
AU - Gujarathi, Ashish M.
AU - Guria, Chandan
N1 - Publisher Copyright:
© 2020 Institution of Chemical Engineers
PY - 2020/8
Y1 - 2020/8
N2 - Multi-objective optimization of industrial natural gas sweetening process using elitist non-dominated sorting genetic algorithm is carried out for methyl di-ethanol amine absorbent to tune the process parameters to improve absorption as well as regeneration performance. This study includes several operating parameters such as lean amine temperature and pressure, feed gas temperature and pressure, regenerator feed temperature and pressure, feed flow rate, etc. Environmental and economic optimization criteria are considered using four cases comprising of several conflicting objectives like net profit, global warming potential, and acidification potential under two-objective and three-objective optimization scenarios. Constraints are imposed on H2S content and CO2 content as per the maximum permissible limit. Pareto optimal fronts are found for different cases and trade-offs between different objectives are illustrated. Simultaneous effects of different variables together on the conflicting objectives are considered to analyze the sweetening process to get a more economical and environmentally friendly process.
AB - Multi-objective optimization of industrial natural gas sweetening process using elitist non-dominated sorting genetic algorithm is carried out for methyl di-ethanol amine absorbent to tune the process parameters to improve absorption as well as regeneration performance. This study includes several operating parameters such as lean amine temperature and pressure, feed gas temperature and pressure, regenerator feed temperature and pressure, feed flow rate, etc. Environmental and economic optimization criteria are considered using four cases comprising of several conflicting objectives like net profit, global warming potential, and acidification potential under two-objective and three-objective optimization scenarios. Constraints are imposed on H2S content and CO2 content as per the maximum permissible limit. Pareto optimal fronts are found for different cases and trade-offs between different objectives are illustrated. Simultaneous effects of different variables together on the conflicting objectives are considered to analyze the sweetening process to get a more economical and environmentally friendly process.
KW - Aspen Hysys
KW - Genetic algorithm
KW - Global warming and acidification potential
KW - Methyl di-ethanol amine
KW - Multi-objective optimization
KW - Natural gas sweetening
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U2 - 10.1016/j.psep.2020.05.006
DO - 10.1016/j.psep.2020.05.006
M3 - Article
AN - SCOPUS:85085542696
SN - 0957-5820
VL - 140
SP - 283
EP - 298
JO - Process Safety and Environmental Protection
JF - Process Safety and Environmental Protection
ER -