Wind Turbine Blade Optimal Design Considering Multi-Parameters and Response Surface Method

Abstract

Within the framework of blade aerodynamic design, the maximum aerodynamic efficiency, power production, and minimum thrust force are the targets to obtain. This paper describes an improved optimization framework for blade aerodynamic design under realistic conditions, while considering multiple design parameters. The relationship between the objective function and the design parameters, such as the chord length, maximum chord, and twist angle, were obtained by using the second-order response surface methodology (RSM). Moreover, the identified parameters were organized to optimize the aerodynamic design of the blades. Furthermore, the initial and optimized blade geometries were compared and showed that the performance of the optimized blade improved significantly. In fact, the efficiency was increased by approximately 10%, although its thrust was not varied. In addition, to demonstrate the improvement in the resulting optimized blades, the annual energy production (AEP) was estimated when installed in a specific regional location. The result showed a significant improvement when compared to the baseline blades. This result will be extended to a new perspective approach for a more robust optimal design of a wind turbine blade.

Structural design optimization of a wind turbine blade using the genetic algorithm

“…The above procedure will complete the aerodynamic blade design for the wind turbine, with its power and efficiency obtained via the BEMT. A detailed description of this aerodynamic design is presented by Lee and Shin (2020).…”

A Strategic Study on the Environmental Impacts of Wind Turbine Blade Materials, their Improvements, Economics and End-Life-Options

“…Reflecting significant enhancement in the performance of the blade as efficiency grows nearly 10% with almost no change in the thrust force. It provides an optimal strategy, which is essentially proved to be a successful approach to optimize and improve the current resources, thereby net increase in efficiency and power output (Lee and Shin, 2020).…”

Wind Turbine Efficiency Under Altitude Consideration Using an Improved Particle Swarm Framework

“…Blade design optimization is determined by the aerodynamic geometry of blade airfoil [17,18] and interact with the blade load and the blade mass. The effectiveness of blade design optimization in boosting energy production efficiency has been demonstrated [19,20]. The site-specific design optimization deals with three fundamental concepts [2,6,7]: the objective function, the designed parameters, and the optimization method.…”