TY - JOUR
T1 - Performance modeling of Allam cycle integrated with a cryogenic air separation process
AU - Haseli, Y.
AU - Sifat, N. S.
N1 - Funding Information:
The research fund provided by Central Michigan University is gratefully acknowledged.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/5
Y1 - 2021/5
N2 - The performance of an integrated Allam cycle and a cryogenic air separation process is numerically simulated. In contrast to previous research which has primarily focused on the design of the cycle alone, this work accounts for the operational co-dependence of the cycle and a co-located air separation unit (ASU). Heat integration between the cycle and ASU includes adiabatic heat of the main air compressor (MAC), and booster compressor of the ASU overlooked in past studies. The discharge pressure of the recycled CO2 compressor is determined based on its saturation pressure at cycle minimum temperature. The cycle efficiency exhibits a maximum at a MAC discharge pressure of 4.2 bar whereas it consistently decreases with discharge pressure of the booster. A genetic algorithm optimization is applied to estimate an optimum operational point. A maximum efficiency of 59.7% is obtained at turbine inlet temperature, inlet pressure, and outlet pressure of 1500 K, 305.5 bar, and 28.1 bar, respectively.
AB - The performance of an integrated Allam cycle and a cryogenic air separation process is numerically simulated. In contrast to previous research which has primarily focused on the design of the cycle alone, this work accounts for the operational co-dependence of the cycle and a co-located air separation unit (ASU). Heat integration between the cycle and ASU includes adiabatic heat of the main air compressor (MAC), and booster compressor of the ASU overlooked in past studies. The discharge pressure of the recycled CO2 compressor is determined based on its saturation pressure at cycle minimum temperature. The cycle efficiency exhibits a maximum at a MAC discharge pressure of 4.2 bar whereas it consistently decreases with discharge pressure of the booster. A genetic algorithm optimization is applied to estimate an optimum operational point. A maximum efficiency of 59.7% is obtained at turbine inlet temperature, inlet pressure, and outlet pressure of 1500 K, 305.5 bar, and 28.1 bar, respectively.
KW - Allam cycle
KW - CO recompression
KW - Cryogenic air separation
KW - Heat integration
KW - Performance modeling
UR - http://www.scopus.com/inward/record.url?scp=85101907282&partnerID=8YFLogxK
U2 - 10.1016/j.compchemeng.2021.107263
DO - 10.1016/j.compchemeng.2021.107263
M3 - Article
AN - SCOPUS:85101907282
VL - 148
JO - Computers and Chemical Engineering
JF - Computers and Chemical Engineering
SN - 0098-1354
M1 - 107263
ER -