DEVELOPMENT OF KNOW-HOW ON THE AEROELASTIC ANALYSIS & DESIGN-OPTIMIZATION OF WIND TURBINES

Abstract: 

In the fast developing sector of energy production through Renewable Energy Sources (RES), wind energy has a leading role with more recent plant installations than any other technology. Environmental concerns along with concrete targets regarding utilization and penetration of RES suggest that an even higher growth rate is to be expected. The development of larger, more flexible wind turbines is a prerequisite for attaining these targets but the state-of-the-art aeroelastic design tools cannot support it due to simplifying assumptions regarding the flow-induced loading and the structural response.

The first part of the project focuses on the development of tools to support the analysis and design-optimization of large (~5MW) flexible wind turbines. In this respect, properly adapted URANS flow solvers will be coupled “in a consistent Fluid-Structure Interaction (FSI) context" with advanced nonlinear structural solvers, yielding aeroelastic analysis tools that account for large geometrical displacements and rotations. Stochastic and gradient-based optimization methodologies will be formulated by devising new adjoint methods to compute the objective function (energy output) gradient. To keep computational costs at a manageable level, all tools will be parallelized on CPU clusters or Graphics Processing Units (GPUs). The tools will be validated against the NASA-Ames & MEXICO databases and new wind tunnel tests to be performed on a plunging and pitching wing at flow conditions analogous to those encountered on wind turbine blades (Re>10^6) and full-scale load measurements.

In the second part of the project, the design of an optimal rotor, in the 5MW scale will be performed using the newly developed FSI tools of different fidelity and computing cost each, along with both metamodel-assisted evolutionary algorithms and gradient (adjoint)-based optimization methods, running on available multi-CPU/GPU platforms.

Project info

Acronym:
WIND-FSI
Scientific Coordinator:
Voutsinas Spyridon
Research Team 2 Leader:
Ekaterinaris Ioannis
Research Team 3 Leader:
Rovas Dimitrios

Stats

I.D.:
53
Mis:
379421
Duration (months):
47
Budget:
600 000.00
Diavgeia:
ΑΔΑ: Β41Δ9-Ξ7Φ

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