aerodynamic optimal design of wind turbine blades using genetic algorithm

نویسندگان

mojtaba tahani

tahmine sokhansefat

kiana rahmani

pouria ahmadi

چکیده

wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. in the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (bem), and a genetic algorithm (ga) is applied as an optimization method. output power generation is considered as an objective function, which is one of the most common choices of objective function. the optimization variables also involve chord and twist distribution variations and the placement of the airfoil sections along the blade length. the optimal blade shape is investigated for the maximum output power at a specific wind speed, rotor diameter and airfoil profile. the modified bem results are compared with an experimental measurement indicating reliable results. the results show that considering placement of the airfoils as design variables in addition to chord and twist rate has a significant effect on the optimal output power. finally, the objective function (output power) is improved by 10% compared to the base function.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Aerodynamic Optimal Design of Wind Turbine Blades using Genetic Algorithm

Wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. In the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (BEM), and a genetic algorithm (GA) is applied as an optimization method. Output power generation is considered as an obj...

متن کامل

Aerodynamic optimal design of wind turbine blades using genetic algorithm

Wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. In the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (BEM), and a genetic algorithm (GA) is applied as an optimization method. Output power generation is considered as an...

متن کامل

CFD Analysis on Aerodynamic Design Optimization of Wind Turbine Rotor Blades

Wind energy has been shown to be one of the most viable sources of renewable energy. With current technology, the low cost of wind energy is competitive with more conventional sources of energy such as coal. Most blades available for commercial grade wind turbines incorporate a straight span-wise profile and airfoil shaped cross sections. These blades are found to be very efficient at lower win...

متن کامل

Aerodynamic and Structural Integrated Optimization Design of Horizontal-Axis Wind Turbine Blades

A procedure based on MATLAB combined with ANSYS is presented and utilized for the aerodynamic and structural integrated optimization design of Horizontal-Axis Wind Turbine (HAWT) blades. Three modules are used for this purpose: an aerodynamic analysis module using the Blade Element Momentum (BEM) theory, a structural analysis module employing the Finite Element Method (FEM) and a multi-objectiv...

متن کامل

Aerodynamic Design Optimization Using Genetic Algorithm (RESEARCH NOTE)

An efficient formulation for the robust shape optimization of aerodynamic objects is introduced in this paper. The formulation has three essential features. First, an Euler solver based on a second-order Godunov scheme is used for the flow calculations. Second, a genetic algorithm with binary number encoding is implemented for the optimization procedure. The third ingredient of the procedure is...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
energy equipment and systems

ISSN 2383-1111

دوره 2

شماره 2 2014

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023