Uncertainty quantification on the effects of rain-induced erosion on annual energy production and performance of a Multi-MW wind turbine. (March 2021)

• Record Type: Journal Article
• Authors: Papi, Francesco; Balduzzi, Francesco; Ferrara, Giovanni; Bianchini, Alessandro
• Is Part Of: Renewable energy. Volume 165:Part 1(2021)
• Page Start: 701
• Page End: 715
• Publication Date: 2021-03
• Subjects: Uncertainty-quantification -- Wind energy -- Annual energy production -- Erosion -- Arbitrary polynomial chaos -- Wind turbine∖; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2020.11.071
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: Wind turbine blade erosion has risen to the attention of researchers and industry lately in an effort to keep ageing wind farms productive. Although not new, erosion-related blade damage seems to be more severe in recent, particularly off-shore, installations. With the high blade-tip speeds of modern wind turbines, installation in rainy locations can cause significant damage. While all the players in the industry agree that a reduction on Annual Energy Production (AEP) has to be expected, its magnitude remains uncertain, with wide range of variability forecasted in published research. This work proposes a probabilistic framework to assess AEP reductions, allowing for a better understanding of the key mechanism that cause turbine power loss and for a better quantification of AEP losses. The method is tested on the DTU10MW reference case. Erosion-related uncertainties are estimated based on available literature data. Lift and drag coefficients of the airfoils are derived using CFD, and the entire wind turbine is simulated aero-servo-elastically using a Blade Element Momentum code. An arbitrary Polynomial Chaos method is used to estimate the uncertainties associated to key turbine figures due to the erosion inputs. Results show how AEP reductions, while still significant, are lower than most published literature indicates. Graphical abstract: Image 1 Highlights: Probabilistic framework to quantify AEP reductions due to rain erosion. parametrization of eroded airfoil through four sources of uncertainty. Investigation on delamination depth, eroded area, blade-span coverage, surface roughness. Effects propagated trough an aero-servo-elastic model of the DTU 10 MW Reference Rotor. Uncertainty quantified by a non-intrusive arbitrary Polinomial Chaos method.