Optimization of operation parameters of refrigeration cycle using particle swarm and NLP techniques

Journal of Natural Gas Science and Engineering

Volumn 21, Issue , 2014, Pages 779-790

  Ghorbani, Bahram ^a   Mafi, Mostafa ^b   Shirmohammadi, Reza ^c   Hamedi, Mohammad Hossein ^a   Amidpour, Majid ^a  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^b IMAM KHOMEINI INTERNATIONAL UNIVERSITY   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Mixed refrigerant; Non linear programming; Particle swarm optimization; Refrigeration system

Indexed keywords

MIXED REFRIGERANTS; NLP TECHNIQUES; OPERATION PARAMETERS; PARTICLE SWARM; REFRIGERATION CYCLES; REFRIGERATION SYSTEM;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84908509434     PISSN: 18755100     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jngse.2014.10.007     Document Type: Article

References (18)

1. Alabdulkarem A., Mortazavi A., Hwang Y., Radermacher R., Rogers P. Optimization of propane pre-cooled mixed refrigerant LNG plant. J.Appl. Therm. Eng. 2011, 31:1091-1098.
2. Aspelund A., Gundersen T., Myklebust J., Nowak M.P., Tomasgard A. An Optimization-simulation model for a simple LNG process. Comput. Chem. Eng. 2010, 34:1606-1617.
3. Becdeliever C., Kaiser V., Paradowski H., 1978. Method of and Arrangement for Processing Through Low Temperature Heat Exchanges and in Particular for Treating Natural Gases and Cracked Gases, US Patent, No. 4072485.
4. Cao W., Lu X., Lin W., Gu A. Parameter comparison of two small-scale natural gas liquefaction processes in skid-mounted packages. J.Appl. Therm. Eng. 2006, 26:898-904.
5. Castillo L., Dorao C.A. On the conceptual design of pre-cooling stage of LNG plants using propane or an ethane/propane mixture. Energy Convers. Manag. 2013, 65:140-146.
6. Finn A.J., Johnson G.L., Tomlinson T.R. "Development in natural gas liquefaction". Hydrocarb. Process. 1999, 47-59.
7. Khan M.S., Lee M. Design optimization of single mixed refrigerant natural gas liquefaction process using the particle swarm paradigm with nonlinear constraints. J.Energy 2013, 49:146-155.
8. Lee G.C., Smith R., Zhu X.X. Optimal synthesis of mixed-refrigerant systems for low-temperature processes. Ind. Eng. Chem. Res. 2002, 41:5016-5028.
9. Meza J.C., Judson R.S., Faulkner T.R., Treasurvwala A.M. AComparision of a Direct Search Method and a Genetic Algorithm for Comformational Searching 1995, Report, Sandia National Laboratories.
10. Mokarizadeh Haghighi Shirazi M., Mowla D. Energy optimization for liquefaction process of natural gas in peak shaving plant. Energy 2010, 35:2878-2885.
11. Nogal F., Kim J., Perry S., Smith R. Optimal design of mixed refrigerant cycles. Ind. Eng. Chem. Res. 2008, 47:8724-8740.
12. Reid R.C., Prausnitz J.M., Poling B.E. The Properties of Gases and Liquids 1978, McGraw Hill. Fourth ed.
13. Tarek A. Equation of State and PVT Analysis 2007, Gulf Publishing Company. First ed.
14. Vaidyaramana S., Maranas C. Synthesis of mixed refrigerant Cascade Cycles. Chem. Eng. Commun. 2002, 189:1057-1078.
15. Wang M., Khalilpour R., Abbas A. Operation optimization of propane precooled mixed refrigerant Processes. J.Nat. Gas Sci. Eng. 2013, 15:93-105.
16. Wetter M., Wright J. Comparison of a generalized pattern search and a genetic algorithm optimization method. Eight International IBPSA Conference 2003, Eindhoven, Netherlands.
17. Wu X., Li C., Jia W., He Y. Optimal operation of trunk natural gas pipelines via an inertia-adaptive particle swarm optimization algorithm. J.Nat. Gas Sci. Eng. 2014, 21:10-18.
18. Xu X., Liu J., Cao L., Pang W. Automatically varying the composition of a mixed refrigerant solution for single mixed refrigerant LNG (liquefied natural gas) process at changing working conditions. J.Energy 2014, 64:931-941.