Multi-objective design optimization strategies for small-scale vertical-axis wind turbines

Posteljnik, Zorana; Stupar, Slobodan; Svorcan, Jelena; Peković, Ognjen; Ivanov, Toni

doi:10.1007/s00158-015-1329-6

Cited by 9 publications

(4 citation statements)

References 16 publications

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“…The wind turbine model used in this study corresponds to a small-scale VAWT that can be mounted in urban environment (rooftops, parks, river banks, etc.). Its geometric features have been defined in accordance with the findings of aero-structural optimizations presented in [24,25] that can be summarized as follows:…”

Section: Starting Geometric Model Of the Wind Turbine Rotormentioning

confidence: 99%

Multi-objective Optimization and Experimental Testing of a Laminated Vertical-Axis Wind Turbine Blade

Trivković

Svorcan

Baltić

et al. 2021

Current Problems in Experimental and Computational Engineering

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Vertical-axis wind turbines, despite being somewhat uncommon and less efficient renewable energy converters, still offer many advantages to small consumers and possibilities for further improvement. Their rotor is usually made up of fiberglass composite blades that can be optimized both aerodynamically and/or structurally. Although the aerodynamics of vertical-axis wind turbine rotors is unsteady, complex and challenging to simulate, it is possible to make a sufficiently accurate estimation of variable aerodynamic loads acting on the blade and use them for its structural dimensioning. This research combines a multi-objective constrained optimization procedure by particle swarm and finite element method with experimental analyses with the purpose of defining the best blade, i.e. the blade of minimal mass, least tip deflection under the loading case corresponding to the aerodynamically most demanding operational regime, greatest difference between its natural frequencies and rated rotor angular frequency, lowest manufacturing cost and complexity, etc. Imposed constraints also include acceptable failure criteria along the blade. Design variables refer to ply lay-up scheme, i.e. lamina thicknesses and orientations. Final solution, chosen from the obtained Pareto set, was manufactured and experimentally validated. The consistency of strains, measured in several different cases of bending, and corresponding numerical values was mostly below 8%. The study demonstrates the applicability of the employed multi-objective optimization methodology in wind turbine blade design. It also proposes an affordable and structurally reliable composite lay-up scheme specifically designed for small-scale vertical-axis wind turbines.

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Section: Starting Geometric Model Of the Wind Turbine Rotormentioning

confidence: 99%

Multi-objective Optimization and Experimental Testing of a Laminated Vertical-Axis Wind Turbine Blade

Trivković

Svorcan

Baltić

et al. 2021

Current Problems in Experimental and Computational Engineering

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“…Ma et al established a time-domain coupled calculation model of floating wind turbines based on PSO and FAST programs and proposed a combined wind turbine blade optimization design method [9]. Posteljnik et al used PSO to optimize the design of the maximum vertical turbine power and the minimum blade mass of the small vertical axis turbines and added the target of the minimum wind speed, but it led to the increase of Pareto solutions [10].…”

Section: Introductionmentioning

confidence: 99%

Optimization Design of Wind Turbine Blade Based on an Improved Particle Swarm Optimization Algorithm Combined with Non‐Gaussian Distribution

Sun

2021

Advances in Civil Engineering

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To overcome the problem of particle swarm optimization (PSO) being trapped in local minima, a particle swarm optimization algorithm combined with non-Gaussian stochastic distribution is presented for optimization design of wind turbine blade. Before updating the particle velocity, a limited test was performed for every particle to search for the global best solution. Taking the maximum wind turbine annual power generation as the final objective, a 1.3 MW wind turbine blade was optimized. The results were compared with those of the original wind turbine blades and traditional particle swarm optimization. Compared with the original output power, the year output power increased by 5.3% with non-Gaussian stochastic distribution combined with PSO, whereas the computation time was 65% of the traditional PSO. As time step increased, residuals of non-Gaussian stochastic distribution combined with PSO greatly diminished, with improved computation efficiency. It is shown that the non-Gaussian distribution combined with PSO ensures the global best solution. The non-Gaussian distribution combined with PSO provides a more reliable theoretical basis for the design of wind turbine blades.

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“…(numerous advantages) while preserving structural reliability and integrity. Given that contemporary wind turbine blades are mostly composite [1][2][3][4][5][6][7][8][9][10][11][12][13], particularly in small-scale constructions, the paper investigates the possibilities of applying a multi-objective optimization approach to the blade structural design.…”

Section: Introductionmentioning

confidence: 99%

“…Optimization of the blade composite lay-up and ply orientations can be done numerically, by coupling a finite element (FE) solver with a multi-objective optimiation method. Given the complexity and nonlinearity of both cost-functions and imposed constraints, usually, one of the evolutionary, heuristic methods is applied [8][9][10][11][12]. This methodology can be implemented to HAWTs and VAWTs, as well as other mechanical parts/systems.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective constrained optimizations of VAWT composite blades based on FEM and PSO

Svorcan¹,

Trivković²,

Ivanov³

et al. 2019

FME Transactions

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Vertical-axis wind turbines (VAWTs) are attractive tools for wind energy extraction particularly suitable for small consumers or off-grid areas. Although their geometry is simple (here, rectangular blade of constant airfoil is assumed), aerodynamic analysis may be quite complex. Computational fluid dynamics (CFD) approach is employed for the estimation of rotor aerodynamic performances. This paper provides a review of possible multiobjective optimization strategies for the design of small-scale VAWT laminate blades in terms of its main structural parameters: ply-order and ply-number. Numerous structural analyses of the composite turbine blades were performed by finite element method (FEM). Multi-criteria constrained optimizations, by an evolutionary method − particle swarm optimization (PSO), were performed with respect to blade total mass, maximum blade tip deflection under static loading, computed natural frequencies and failure index along the blade. By combining different input and output parameters (cost functions and constraints) a large variety of feasible solutions can be achieved.

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Multi-objective design optimization strategies for small-scale vertical-axis wind turbines

Cited by 9 publications

References 16 publications

Multi-objective Optimization and Experimental Testing of a Laminated Vertical-Axis Wind Turbine Blade

Multi-objective Optimization and Experimental Testing of a Laminated Vertical-Axis Wind Turbine Blade

Optimization Design of Wind Turbine Blade Based on an Improved Particle Swarm Optimization Algorithm Combined with Non‐Gaussian Distribution

Multi-objective constrained optimizations of VAWT composite blades based on FEM and PSO

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