Performance of non-intrusive uncertainty quantification in the aeroservoelastic simulation of wind turbines

Abstract

Abstract. The paper studies the effects of uncertainties on aeroservoelastic wind turbine models. Two non-intrusive uncertainty quantification methods are considered, namely non-intrusive polynomial chaos expansion and Kriging. Uncertainties are associated with the wind inflow characteristics and the blade surface state, on account of soiling and/or erosion, and propagated throughout the aeroservoelastic model of a large conceptual off-shore wind turbine. Results are compared with a brute-force extensive Monte Carlo sampling. Both methods appear to yield similar results, with a somewhat faster convergence for Kriging. The analysis of the solution space clearly indicates the effects of uncertainties and their couplings, and highlights some possible shortcomings of current mostly deterministic approaches.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 16 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.