Wind Turbine Tower Optimization under Various Requirements by Using Genetic Algorithm

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DOI: 10.4236/eng.2010.28082    6,835 Downloads   11,240 Views   Citations

ABSTRACT

The purpose of this study is to optimize the mass of 1.5 MW wind turbine steel tower performing Genetic Algorithm method (GA). In accordance with ASCE 7-98, AISC-89 and IEC61400-1 , the impact of loads on tower is calculated within the highest safety conditions against buckling strength of each sections of tower by means of GA codes. The stifness along tower is ensured entirely while the mass of tower is mitigated and optimized.

Cite this paper

S. Yıldırım and İ. Özkol, "Wind Turbine Tower Optimization under Various Requirements by Using Genetic Algorithm," Engineering, Vol. 2 No. 8, 2010, pp. 641-647. doi: 10.4236/eng.2010.28082.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] R. Y. Redlinger, P. D. Andersen and P. E. Morthorst, “Wind Energy in the 21st Century,” Economics, Policy, Technology and the Cahnging Electricity Industry, 2002.
[2] “LWST Phase 1. Project Conceptual Design Study: Evaluation of Design and Construction Approaches for Economical Hybrid Steel/Concrete Wind Turbine Towers,” 28 June 2002-31 July 2004, NREL Subcontractor Report, January 2005 NREL/SR-500-36777.
[3] ASCE 7-98, “Minimum Design Loads for Buildings and Other Structures,” 1998.
[4] R. Har-rison, E. Hau and H. Snel, “Large Wind Turbines,” Design and Economics, 2000.
[5] IEC 61400-1, “Wind Turbine Generator System Part 1 Safety Requirements,” 1999.

  
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