“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.

has been cited by the following article:

• TITLE: Wind Turbine Tower Optimization under Various Requirements by Using Genetic Algorithm

  AUTHORS: Serdar Yıldırım, İbrahim Özkol

  KEYWORDS: Mass Optimization, Genetic Algorithm, Wind Turbine Tower

  JOURNAL NAME: Engineering, Vol.2 No.8, September 9, 2010

  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.