Multiobjective Optimization of Composite Wind Turbine Blade

Abstract

When designing a wind turbine, the main objective is to generate maximum effective power with the lowest possible production costs. The power of a wind turbine depends primarily on the aerodynamic properties of its blades. Moreover, the cost of making a blade for a wind turbine, and therefore also for the entire wind turbine, depends on the materials used for its production. Therefore, wind turbine blades are the most studied element of a wind turbine. By selecting the optimal material and geometric properties of the wind turbine blade, it is possible to reduce the costs of making the entire wind turbine. These rationales led the authors to investigate composite wind turbine blades. A two-criteria optimization task was formulated, which allowed for the simultaneous consideration of two criteria: minimizing the mass and minimizing the vertical deflection of the wind turbine blade. Geometric properties of the blade, influencing the considered criteria, were assumed as decision variables. The weighted sum method was used. The results obtained allowed us to determine the optimal geometric and material properties of a wind turbine blade.

3D Printing for wind turbine blade manufacturing: a review of materials, design optimization, and challenges

“…Studies covered have employed different optimization methods, such as multi-objective optimization, particle swarm optimization, genetic algorithms, and finite element analysis, to improve wind turbine blade performance. The optimization goals include reducing weight and cost, enhancing aerodynamic efficiency, increasing energy production, minimizing noise production, improving structural performance, and achieving feasible designs within specific constraints [14][15][16][17][18][19][20][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60], as summarized in Table 1.…”

“…The weighted sum method and modified genetic algorithm [49] Maximizing annual energy production frequently results in significantly inefficient designs (in terms of energy cost), even after the internal structure has been adjusted Chord, twist angle, Spar cap thickness To optimize a wind turbine rotor: maximizing AEP, minimizing the ratio of turbine mass to AEP and minimizing cost of energy MATLAB tool [50] The findings show that employing the suggested greedy algorithm rather than the genetic algorithm results in cheaper processing costs and more optimized outcomes multiple hub height wind turbines optimize the wind turbine layout greedy algorithm [51] It produces an aerodynamic design that is more friendly to the blade's structure by distributing loads and stresses evenly over the blade span and preventing stress concentration areas.…”

Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind Potential

“…Since its values remained unchanged for 100 consecutive generations, it was made sure that the answer is global and the solution can be terminated. Employing the weighted coefficient method [36], to maximize C p and minimize T s , the following objective function was considered [20]:…”

Impact of Process Technology on Properties of Large-Scale Wind Turbine Blade Composite Spar Cap

“…This increase further causes a gradual increase in the structural load. Thus, it is necessary to reduce the weight of wind turbine blades at the minimum production cost [6]. Compared to traditional materials such as aluminium, titanium alloy, and steel, reinforced polymer matrix composites are widely used in wind turbine blades owing to their favourable properties such as high specific strength (strength/density), high specific modulus (elastic modulus/density), and excellent fatigue life characteristics after 10 7 load cycles [7].…”