Multi objective optimization of horizontal axis tidal current turbines, using Meta heuristics algorithms

Energy Conversion and Management

Volumn 103, Issue , 2015, Pages 487-498

  Tahani, Mojtaba ^a   Babayan, Narek ^a   Astaraei, Fatemeh Razi ^a   Moghadam, Ali ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b RUHR UNIVERSITY BOCHUM   (Germany)

Author keywords

BEM; HATCT; Meta heuristic algorithms; Multi objective optimization

Indexed keywords

ALGORITHMS; BOUNDARY ELEMENT METHOD; GENETIC ALGORITHMS; GEOMETRY; HEURISTIC ALGORITHMS; OCEAN CURRENTS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); POPULATION STATISTICS; SCREENING; TURBINES;

BEM; BLADE ELEMENT MOMENTUM THEORY; CUCKOO SEARCH ALGORITHMS; HATCT; META HEURISTIC ALGORITHM; META-HEURISTICS ALGORITHMS; MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION ALGORITHMS; NON DOMINATED SORTING GENETIC ALGORITHM (NSGA II);

MULTIOBJECTIVE OPTIMIZATION;

EID: 84936867682     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2015.06.086     Document Type: Article

References (41)

1. V. Butala, and P. Novak Energy consumption and potential energy savings in old school buildings Energy Build 29 1999 241 246
2. F.L. Ponta, and P.M. Jacovkis Marine-current power generation by diffuser-augmented floating hydro-turbines Renew Energy 33 2008 665 673
3. J.N. Goundar, and M.R. Ahmed Design of a horizontal axis tidal current turbine Appl Energy 111 2013 161 174
4. F.O. Rourke, F. Boyle, and A. Reynolds Tidal energy update 2009 Appl Energy 87 2010 398 409
5. A.S. Bahaj, A.F. Molland, J.R. Chaplin, and W.M.J. Batten Power and thrust measurements of marine current turbines under various hydrodynamic flow conditions in a cavitation tunnel and a towing tank Renew Energy 32 2007 407 426
6. T. Burton, D. Sharpe, N. Jenkins, and E. Bossanyi Wind Energy Handbook 2001 John Wiley & Sons Ltd. Chichester
7. W.M.J. Batten, A.S. Bahaj, A.F. Molland, and J.R. Chaplin The prediction of the hydrodynamic performance of marine current turbines Renew Energy 33 2008 1085 1096
8. W.M.J. Batten, A.S. Bahaj, A.F. Molland, J.R. Chaplin Sustainable Energy Research Group Experimentally validated numerical method for the hydrodynamic design of horizontal axis tidal turbines" Ocean Eng 34 2007 1013 1020
9. L. Myers, and A.S. Bahaj Power output performance characteristics of a horizontal axis marine current turbine Renew Energy 31 2006 197 208
10. J.N. Goundar, M.R. Ahmed, and Y.H. Lee Numerical and experimental studies on hydrofoils for marine current turbines Renew Energy 42 2012 173 179
11. J.H. Lee, S. Park, D.H. Kim, S.H. Rhee, and M.C. Kim Computational methods for performance analysis of horizontal axis tidal stream turbines Appl Energy 98 2012 512 523
12. B. Wu, X. Zhang, J. Chen, M. Xu, S. Li, and G. Li Design of high-efficient and universally applicable blades of tidal stream turbine Energy 60 2013 187 194
13. Lawson MJ, Li Y, Sale DC. Development and verification of a computational fluid dynamics model of a horizontal-axis tidal current turbine. In: International Conference on Ocean, Offshore, and Arctic Engineering, Rotterdam, the Netherlands, 2011.
14. D.A.V. Veldhuizen, and G.B. Lament Multi objective evolutionary algorithms analyzing the state-of-the-art Evolut Comput 8 2000 125 147
15. M.H. Ahmadi, M.A. Ahmadi, M. Mehrpooya, H. Hosseinzade, and M. Feidt Thermodynamic and thermo-economic analysis and optimization of performance of irreversible four-temperature-level absorption refrigeration Energy Convers Manage 88 2014 1051 1059
16. J. Cai, X. Ma, Q. Li, L. Li, and H. Peng A multi-objective chaotic particle swarm optimization for environmental/economic dispatch Energy Convers Manage 50 2009 1318 1325
17. C. Duan, X. Wang, S. Shu, C. Jing, and H. Chang Thermodynamic design of Stirling engine using multi-objective particle swarm optimization algorithm Energy Convers Manage 84 2014 88 96
18. P. Ahamdi, I. Dincer, and M.A. Rosen Thermodynamic modeling and multi-objective evolutionary-based optimization of a new multi generation energy system Energy Convers Manage 79 2013 282 300
19. M.H. Ahmadi, M.A. Ahmadi, A.H. Mohammadi, R. Bayat, M. Ashouri, and M. Fiedt Thermo-economic optimization of Stirling heat pump by using non-dominated sorting genetic algorithm Energy Convers Manage 91 2015 315 322
20. M.H. Ahmadi, M.A. Ahmadi, A.H. Mohammadi, M. Feidt, and S.M. Pourkiaei Multiobjective optimization of an irreversible Stirling cryogenic refrigerator cycle Energy Convers Manage 82 2014 351 360
21. S.A. Sadatsakkak, M.H. Ahmadi, R. Bayat, S.M. Pourkiaei, and M. Feidt Optimization density power and thermal efficiency of an endoreversible Braysson cycle by using non-dominated genetic algorithm Energy Convers Manage 93 2015 31 39
22. A. Pourrajabian, R. Ebrahimi, and M. Mirzaei Applying micro scales of horizontal axis wind turbines for operation in low wind speed regions Energy Convers Manage 87 2014 119 127
23. P.J. Moriarty, and A.C. Hansen AeroDyn theory manual 2005 National Renewable Energy Laboratory Colorado
24. W.M.J. Batten, A.S. Bahaj, A.F. Molland, and J.R. Chaplin Hydrodynamics of marine current turbines Renew Energy 31 2006 249 256
25. S. Toghyani, A. Kasaeian, and M.H. Ahmadi Multi-objective optimization of Stirling engine using non-ideal adiabatic method Energy Convers Manage 80 2014 54 62
26. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan A fast and elitist multi objective genetic algorithm: NSGA-II IEEE Trans Evolut Comput 6 2002 182 197
27. C.A. Coello Coello, G.T. Pulido, and M.S. Lechuga Handling multiple objectives with particle swarm optimization IEEE Trans Evolut Comput 8 2004 256 280
28. X.S. Yang, and S. Deb Multi objective cuckoo search for design optimization Comput Oper Res 40 2013 1616 1624
29. X.S. Yang, M. Karamanoglu, and X. He Multi-objective flower algorithm for optimization Proc Comput Sci 18 2013 861 868
30. S. Koziel, and X.S. Yang Computational optimization, methods and algorithms 2011 Springer Berlin
31. C. Blum, and A. Roli Meta heuristics in combinatorial optimization: overview and conceptual comparison ACM Comput Surv 35 2003 268 308
32. R. Khosravi, A. Khosravi, S. Nahavandi, and H. Hajabdollahi Effectiveness of evolutionary algorithms for optimization of heat exchangers Energy Convers Manage 89 2015 281 288
33. Kennedy J, Eberhart R. Particle swarm optimization. In: Proceedings of the 1995 IEEE international conference on neural networks, vol. 4; 1995. p. 1942-8.
34. X. Jie, and X. Deyun New metropolis coefficients of particle swarm optimization 2008 IEEE
35. A. Khare, and S. Rangnekar A review of particle swarm optimization and its applications in Solar Photovoltaic system Appl Soft Comput 13 2013 2997 3006
36. Yang XS, Deb S. Cuckoo search via levy flights. In: Nature & biologically inspired computing, NaBIC 2009, World Congress on IEEE; 2009. p. 210-4.
37. T.T. Nguyen, and D.N. Vo Modified cuckoo search algorithm for short-term hydrothermal scheduling Electr Power Energy Syst 65 2015 271 281
38. X.S. Yang Nature inspired optimization algorithms 2014 Elsevier Inc London 155 173
39. R.N. Mantegna Fast, accurate algorithm for numerical simulation of Levy stable stochastic process Phys Rev E 49 1994 4677 4683
40. X.S. Yang Flower pollination algorithm for global optimization Unconv Comput Nat Comput 2012 240 249
41. L. Cagnina, S. Esquivel, and C.A. Coello Coello A particle swarm optimizer for multi-objective optimization J Comput Sci Technol 5 2005 204 210