Multi-objective optimization of a joule cycle for re-liquefaction of the Liquefied Natural Gas

Applied Energy

Volumn 88, Issue 9, 2011, Pages 3012-3021

  Sayyaadi, Hoseyn ^a   Babaelahi, M ^a  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Boil off gas; Exergetics; Exergoeconomics; Joule cycle; Multi objective optimization; NSGA II

Indexed keywords

ALGORITHMS; DECISION MAKING; LIQUEFACTION; LIQUEFIED NATURAL GAS; OPTIMAL SYSTEMS; PARETO PRINCIPLE;

BOIL OFF GAS; EXERGETICS; EXERGOECONOMICS; JOULE CYCLE; MULTI OBJECTIVE; NSGA-II;

MULTIOBJECTIVE OPTIMIZATION;

ALGORITHM; COST-BENEFIT ANALYSIS; DECISION MAKING; ENERGY EFFICIENCY; EXERGY; LIQUEFACTION; LIQUEFIED NATURAL GAS; MULTIOBJECTIVE PROGRAMMING; NUMERICAL MODEL; OPTIMIZATION; PERFORMANCE ASSESSMENT;

EID: 79955482439     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2011.03.041     Document Type: Article

References (34)

1. De Vos Efficiency of some heat engines at maximum-power conditions. Am J Phys 1985, 53:570-573.
2. Bejan A. Theory of heat transfer-irreversible refrigeration plants. Int J Heat Mass Transfer 1989, 32:1631-1639.
3. Sahin B., Kodal A., Yilmaz T., Yavuz H. Maximum power density analysis of an irreversible Joule-Brayton engine. J Phys D: App. Phys 1996, 29:1162-1167.
4. Chen L., Sun F., Wu C., Kiang R.L. Theoretical analysis of the performance of a regenerative closed Brayton cycle with internal irreversibilities. Energy Convers Mang 1997, 38:871-877.
5. Chen L., Wu C., Sun F. Finite time thermodynamic performance of an isentropic closed regenerated Brayton refrigeration cycle. Int J Energy Environ Economics 1997, 4:261-274.
6. Cheng C.Y., Chen C.K. Power optimization of an irreversible Brayton heat engine. Energy Sources 1997, 19:461-474.
7. Cheng C.Y., Chen C.K. Efficiency optimizations of an irreversible Brayton heat engine. Trans ASME J Energy Resour Technol 1998, 120:143-148.
8. Chen L., Wu C., Sun F. Cooling load versus COP characteristics for an irreversible air refrigeration cycle. Energy Convers Mang 1998, 39:117-125.
9. Chen L., Zhou S., Sun F., Wu C. Performance of heat-transfer irreversible regenerated Brayton refrigerators. J Phys D: Appl Phys 2001, 34:830-837.
10. Sahin B., Kodal A., Kaya S.S. A comparative performance analysis of irreversible regenerative reheating Joule-Brayton engines under maximum power density and maximum power conditions. J Phys D: Appl Phys 1998, 31:2125-2131.
11. Chen L., Ni N., Wu C., Sun F. Performance analysis of a closed regenerated Brayton heat pump with internal irreversibilities. Int J Energy Res 1999, 23:1039-1050.
12. Huang Y.C., Hung C.I., Chen C.K. An ecological exergy analysis for an irreversible Brayton engine with an external heat source. Proc Inst Mech Engineers A: J Power Energy 2000, 214:413-421.
13. Luo J., Chen L., Sun F., Wu C. Optimum allocation of heat exchanger inventory of irreversible air refrigeration cycles. Phys Scripta 2002, 65:410-415.
14. Moon JW, Lee YP, Jin YW, Hong ES, Chang HM. Cryogenic refrigeration cycle for re-liquefaction of LNG boil-off gas. In: International cryocooler conference, inc., Boulder, CO; 2007. p. 629-35.
15. Sayyaadi H., Babaelahi M. Exergetic optimization of a refrigeration cycle for re-liquefaction of LNG boil-off gas. Int J Thermodynam 2010, 13(4):127-133.
16. Sayyaadi H., Babaelahi M. Thermoeconomic optimization of refrigeration cycle for re-liquefaction of LNG boil-off gas. Int J Refrigeration 2010, 33(6):1197-1207.
17. Rozhentsev A., Naer V. Investigation of the starting modes of the low-temperature refrigerating machines working on the mixtures of refrigerants. Int J Refrigeration 2009, 32(5):901-910.
18. A Nakano, Maeda T., Ito H., Masuda M., Kawakami Y., Kato A., et al. Small-scale hydrogen liquefaction with a two-stage Gifford-McMahon cycle refrigerator. Int J Hydrogen Energy 2010, 35(17):9088-9094.
19. 2 capture and storage - part 1. Appl Energy 2009, 86(6):781-792.
20. 2 capture and storage - part 2: the offshore and the onshore processes. Appl Energy 2009, 86(6):793-804.
21. 2 capture and storage - part 3: the combined carrier and onshore storage. Appl Energy 2009, 86(6):805-814.
22. 2 capture and storage - part 4: sensitivity analysis of transport pressures and benchmarking with conventional technology for gas transport. Appl Energy 2009, 86(6):815-825.
23. Shin Younggy, Lee Yoon Pyo Design of a boil-off natural gas reliquefaction control system for LNG carriers. Appl Energy 2009, 86:37-44.
24. Shirmohammadi M, Sayyaadi H. Multi-objective exergetic, economic and environmental optimization of CGAM problem using genetic algorithm. In: Proceeding of 3rd international energy, exergy and environment symposium; 2007, 1-5 July, Evora, Portugal.
25. Fonseca C.M., Fleming P.J. Multiobjective optimization. Handbook of evolutionary computation 1997, Oxford University Press. T. Back, D.B. Fogel, Z. Michalewicz (Eds.).
26. Van Veldhuizen D.A., Lamont G.B. Multiobjective evolutionary algorithms: analyzing the state-of-the-art. Evolut Comput 2000, 8(2):125-147.
27. Sayyaadi H, Shirmohammadi M. Environomics optimization of CGAM cogeneration system using evolutionary algorithm. In: The 3rd international green energy conference; 2007, 17-21 June, Västeras, Sweden.
28. Sayyaadi H. Multi-objective approach in thermoenvironomic optimization of a benchmark cogeneration. Appl Energy 2009, 86:867-879.
29. Deb K., Pratap A., Agarwal S., Meyarivan T. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evolut Comput 2002, 6(2):182-197.
30. Bejan A., Tsatsaronis G., Moran M. Thermal design and optimization 1996, John Wiley, NewYork.
31. Technical Assessment Guide (TAGTM). TR-100281 Revision 6. Palo Alto, CA: Electric Power Research Institute; 1993.
32. Van Veldhuizen D.A., Lamont G.B. Multiobjective evolutionary algorithms: analyzing the state-of-the-art. Evolut Comput 2000, 8(2):125-147.
33. Holland J.H. Adaptation in natural and artificial systems 1975, University of Michigan Press, Ann Arbor.
34. Goldberg D.E. Genetic algorithms for search, optimization and machine learning 1989, Addison Wesley, Reading (MA).