TY - JOUR
T1 - Design of carbon dioxide dehydration process using derivative-free superstructure optimization
AU - An, Jinjoo
AU - Na, Jonggeol
AU - Lee, Ung
AU - Han, Chonghun
N1 - Funding Information:
This research was supported by the Brain Korea 21 Plus Program in 2017, the Energy Efficiency & Resources Core Technology Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (No. 20152010201850 ), and Korea Ministry of Environment (MOE) as “the Chemical Accident Prevention Technology Development Project (No. 2015001950003)”.
Publisher Copyright:
© 2017 Institution of Chemical Engineers
PY - 2018/1
Y1 - 2018/1
N2 - A comprehensive optimal design for the CO2 dehydration process created by decomposition-based superstructure optimization is proposed. To reach the most economical process configuration, the superstructure model has been developed including binary interaction parameter regression of the NRTL-RK thermodynamic model, unit operation modeling, and identification of the connectivity of each of the unit operations in the superstructure. The superstructure imbeds 30,720 possible process alternatives and unit operation options. To simplify the optimization problem, the process simulation was explicitly carried out in a sequential process simulator, and the constrained optimization problem was solved externally using a genetic algorithm and an Aspen Plus-MATLAB interface. The optimal process includes a five-stage contactor, a nine-stage still column (with the feed stream entering at the seventh stage), a lean/rich solvent heat exchanger, and a cold rich solvent split flow fed to the first stage of still column. The total annualized cost of the optimum process is 6.70 M$/year, which corresponds to the specific annualized cost of 1.88 $/t CO2. As part of the process optimization, a Monte Carlo simulation was performed to analyze the sensitivity of utility cost volatility; the refrigerant and steam present the most influential utility costs.
AB - A comprehensive optimal design for the CO2 dehydration process created by decomposition-based superstructure optimization is proposed. To reach the most economical process configuration, the superstructure model has been developed including binary interaction parameter regression of the NRTL-RK thermodynamic model, unit operation modeling, and identification of the connectivity of each of the unit operations in the superstructure. The superstructure imbeds 30,720 possible process alternatives and unit operation options. To simplify the optimization problem, the process simulation was explicitly carried out in a sequential process simulator, and the constrained optimization problem was solved externally using a genetic algorithm and an Aspen Plus-MATLAB interface. The optimal process includes a five-stage contactor, a nine-stage still column (with the feed stream entering at the seventh stage), a lean/rich solvent heat exchanger, and a cold rich solvent split flow fed to the first stage of still column. The total annualized cost of the optimum process is 6.70 M$/year, which corresponds to the specific annualized cost of 1.88 $/t CO2. As part of the process optimization, a Monte Carlo simulation was performed to analyze the sensitivity of utility cost volatility; the refrigerant and steam present the most influential utility costs.
KW - CO dehydration
KW - Genetic algorithm
KW - Process design
KW - Superstructure optimization
KW - TEG absorption
KW - Techno-economic optimization
UR - http://www.scopus.com/inward/record.url?scp=85040790833&partnerID=8YFLogxK
U2 - 10.1016/j.cherd.2017.11.028
DO - 10.1016/j.cherd.2017.11.028
M3 - Article
AN - SCOPUS:85040790833
SN - 0263-8762
VL - 129
SP - 344
EP - 355
JO - Chemical Engineering Research and Design
JF - Chemical Engineering Research and Design
ER -