Eminoglu U.2019-08-012019-08-0120111974-9821https://hdl.handle.net/11480/982Optimal Wind Turbine System (WTS) design for one location is not necessarily the optimal design for another location because the wind speed distribution may wary between locations. For wind turbine design, the most important design variables may be listed as generator capacity, rotor diameter and hub height. This is due to the fact that a larger rotor captures more energy and a larger generator can capture more energy as well but also costs more. Moreover, the wind speed increase with hub height but so does the tower cost. They must match one another and the optimal match is dependent on the site's wind conditions. Accordingly, this paper introduces a design optimization algorithm based on minimizing the cost of energy of a Horizontal Axis Wind Turbine (HAWT) to be operated at a specific wind site. The algorithm uses probability distributions of wind speed and computes optimal values of HAWTs' design parameters such as generator capacity, rotor diameter and hub height by taking into account site's wind condition to generate electrical energy in minimum cost. © 2011 Praise Worthy Prize S.r.l. - All rights reserved.eninfo:eu-repo/semantics/closedAccessCost of EnergyDesign OptimizationHorizontal Axis Wind TurbineProbability Distributions of Wind SpeedArticle45255425632-s2.0-84860285772Q3