Optimal wind turbine selection methodology: A case-study for Búrfell, Iceland

Renewable Energy

Volumn 75, Issue , 2015, Pages 165-172

  Perkin, Samuel ^a   Garrett, Deon ^a,b   Jensson, Pall ^a  

^a REYKJAVIK UNIVERSITY   (Iceland)

^b Icelandic Institute for Intelligent Machines   (Iceland)

Author keywords

Blade Element Momentum theory; Cost scaling; Genetic algorithms; LCoE; Wind turbine selection

Indexed keywords

COMPUTATION THEORY; GENETIC ALGORITHMS; INVESTMENTS; WIND TURBINES;

BLADE ELEMENT MOMENTUM THEORY; EVOLUTIONARY COMPUTING; LCOE; OPTIMAL INVESTMENTS; SEARCH PARAMETERS; SELECTION METHODS; TRIAL-AND-ERROR APPROACH; TURBINE MODELING;

TURBOMACHINE BLADES;

ENERGY MARKET; ERROR ANALYSIS; GENETIC ALGORITHM; OPTIMIZATION; WIND POWER; WIND TURBINE;

BURFELL; ICELAND;

EID: 84908099272     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2014.09.043     Document Type: Article

References (32)

1. Orkustofnun Energy statistics in Iceland 2012 2013, Orkustofnun, Reykjavik, Iceland.
2. Orkustofnun Energy in Iceland: historical perspective, present status, future outlook 2006.
3. Nawri N., Petersen G.N., Björnsson H., Jónasson K. The wind energy potential of Iceland 2013, Ve{eth}urstofa Íslands, Reykjavík, Iceland.
4. Askja Energy Positive attitudes towards wind energy 2013, Askja Energy - Indep Icel Energy Portal,.
5. Martin K.A., Schmidt M.F., Shelton S.V., Stewart S.W. Site specific optimization of rotor/generator sizing of wind turbines 2007, 1123-1130. American Society of Mechanical Engineers.
6. Sagol E. Site specific design optimization of a horizontal axis wind turbine based on minimum cost of energy 2010, Middle East Technical University.
7. Helgason K. Selecting optimum location and type of wind turbines in iceland 2012, Master of Science in Decision Engineering, Reykjavík University.
8. Eltamaly A.M. Design and implementation of wind energy system in Saudi Arabia. Renew Energy 2013, 60:42-52.
9. Eke G.B., Onyewudiala J.I. Optimization of wind turbine blades using genetic algorithm. Glob J Res Eng 2010, 10.
10. Xudong W., Shen W.Z., Zhu W.J., Sørensen J.N., Jin C. Blade optimization for wind turbines 2009, Eur. Wind Energy Conf. Exhib. EWEC.
11. Fuglsang P., Thomsen K. Cost optimization of wind turbines for large-scale offshore wind farms 1998, Riso National Laboratory, Roskilde, Denmark.
12. Jureczko M., Pawlak M., Mez˙yk A. Optimisation of wind turbine blades. JMater Process Technol 2005, 167:463-471.
13. Bureerat S., Kunakote T. Multiobjective design of a horizontal-axis wind turbine blade 2006, Nakhon Ratchasima, Thailand.
14. Ceyhan O., Ortakaya Y., Korkem B., Sezer-Uzol N., Tuncer I.H. Optimization of horizontal axis wind turbines by using BEM theory and genetic algorithm 2009, 5th Ank. Int. Aerosp. Conf. METU Ank. 17-19 August 2009 AIAC-2009-044.
15. Jowder F.A.L. Wind power analysis and site matching of wind turbine generators in Kingdom of Bahrain. Appl Energy 2009, 86:538-545.
16. El-Shimy M. Optimal site matching of wind turbine generator: case study of the Gulf of Suez region in Egypt. Renew Energy 2010, 35:1870-1878.
17. Abul'Wafa A.R. Matching wind turbine generators with wind regime in Egypt. Electr Power Syst Res 2011, 81:894-898.
18. Dong Y., Wang J., Jiang H., Shi X. Intelligent optimized wind resource assessment and wind turbines selection in Huitengxile of Inner Mongolia, China. Appl Energy 2013, 109:239-253.
19. Fingersh L.J., Hand M.M., Laxson A.S. Wind turbine design cost and scaling model 2006, National Renewable Energy Laboratory, Golden, CO.
20. Matsumoto M., Nishimura T. Mersenne Twister: a 623-dimensionally equidistributed uniform pseudorandom number generator. ACM Trans Model Comput Simul 1998, 8:3-30.
21. Glauert H. Airplane propellers. Aerodyn. theory 1935, 169-360. Springer, Berlin Heidelberg.
22. Hansen M.O.L. Aerodynamics of wind turbines 2008, Earthscan, London; Sterling, VA.
23. Jonkman J.M. Modeling of the UAE wind turbine for refinement of FAST_AD 2003, NREL, USA.
24. Chaviaropoulos P.K., Hansen M.O.L. Investigating three-dimensional and rotational effects on wind turbine blades by means of a Quasi-3D Navier-Stokes solver. JFluids Eng 2000, 122:330-336.
25. Arason th Mat á vindi á fyrirhugu{eth}um brúm í Reykjavík 1998, Ve{eth}urstofa Íslands, Reykjavik, Iceland.
26. Sigur{eth}sson F.H., Hjartarson H., Antonsson T.K., Arason th Additional wind and stability observations at Sómasta{eth}ager{eth}i in Rey{eth}arfjör{eth}ur II 2000, Ve{eth}urstofa Íslands, Reykjavik, Iceland.
27. Blöndal J., Birgisson T., Björnsson H., Jónasson K., Petersen G.N. Vindhra{eth}amælingar og sambreytni vinds 2011, Ve{eth}urstofa Íslands, Reykjavík, Iceland.
28. Davis L.D. Bit-climbing, representational bias, and test suite design. Proc. Fourth Int. Conf. Genet. Algorithms 1991, 18-23. Morgan Kaufman, San Mateo, CA. R.K. Belew, B. Booker (Eds.).
29. Eshelman L.J. The CHC adaptive search algorithm: how to have safe search when engaging in nontraditional genetic recombination 1991, 265-283.
30. Taillard E. Paper: robust taboo search for the quadratic assignment problem. Parallel Comput 1991, 17:443-455.
31. Sheldahl R.E., Klimas P.C. Aerodynamic characteristics of seven symmetrical airfoil sections through 180-degree angle of attack for use in aerodynamic analysis of vertical axis wind turbines 1981, Sandia National Laboratories, USA.
32. González-Longatt F., Wall P. Wake effect in wind farm performance: steady-state and dynamic behaviour. Renew Energy 2012, 39:329-338.