Optimization of a liquefaction plant using genetic algorithms

Applied energy

Volumn 68, Issue 1, 2001, Pages 19-29

  Cammarata, G ^a   Fichera, A ^a   Guglielmino, D ^a  

^a UNIVERSITY OF CATANIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; LIQUEFACTION; OPTIMIZATION; PRESSURE EFFECTS; REFRIGERATION; THERMAL EFFECTS;

COLLINS CYCLE; FIGURE OF MERIT;

CRYOGENICS;

EID: 0035196611     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0306-2619(00)00041-6     Document Type: Article

References (11)

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3. A. Khalil G.E. McIntosh Thermodynamic optimization study of the helium multi-engine Claude refrigeration cycle Advances In Cryogenic Engineering 23 1977 431 437
4. M.A. Hilal Optimization of helium refrigerators and liquefiers for large superconducting systems Cryogenics 7 1979 415 420
5. G.B. Narinsky V.V. Temirova L.V. Chernokov Influence of thermodynamic parameters on main characteristics of helium liquefaction and refrigeration plant Cryogenics 35 1995 483 487
6. B. Ziegler H. Quack Helium refrigeration at 40 percent efficiency? Advances in Cryogenic Engineering 37 1992 645 651
7. K.D. Timmerhaus T.M. Flynn Cryogenic process engineering (the international cryogenic monograph series) 1989 Plenum Press New York
8. D.E. Goldberg Genetic algorithms in search optimization and machine learning 1989 Addison-Wesley USA
9. L. Davis Handbook of genetic algorithms 1990 Van Nostrand Reinhold New York
10. Grefenstette JJ, Davis L, Cerys D. GENESIS and OOGA: two genetic algorithm systems. TPS, 1991.
11. McCarty RD. Thermodynamic properties of helium from 2 to 1500 K with pressures to 100 MPa, Software of the Office of Standard Reference Data — National Bureau of Standards (now the National Institute of Standards and Technology, NIST), Washington, DC, USA.