Other affiliations: Energy Research Centre of the Netherlands
Bio: Marco Caboni is an academic researcher from University of Glasgow. The author has contributed to research in topics: Turbine & Aerodynamics. The author has an hindex of 6, co-authored 17 publications receiving 99 citations. Previous affiliations of Marco Caboni include Energy Research Centre of the Netherlands.
TL;DR: In this paper, a robust optimization strategy for the aerodynamic design of horizontal axis wind turbine rotors including the variability of the annual energy production due to the uncertainty of the blade geometry caused by manufacturing and assembly errors is presented.
Abstract: Presented is a robust optimization strategy for the aerodynamic design of horizontal axis wind turbine rotors including the variability of the annual energy production due to the uncertainty of the blade geometry caused by manufacturing and assembly errors. The energy production of a rotor designed with the proposed robust optimization approach features lower sensitivity to stochastic geometry errors with respect to that of a rotor designed with the conventional deterministic optimization approach that ignores these errors. The geometry uncertainty is represented by normal distributions of the blade pitch angle, and the twist angle and chord of the airfoils. The aerodynamic module is a blade-element momentum theory code. Both Monte Carlo sampling and the univariate reduced quadrature technique, a novel deterministic uncertainty analysis method, are used for uncertainty propagation. The performance of the two approaches is assessed in terms of accuracy and computational speed. A two-stage multi-objective evolution-based optimization strategy is used. Results highlight that, for the considered turbine type, the sensitivity of the annual energy production to rotor geometry errors can be reduced by reducing the rotational speed and increasing the blade loading. The primary objective of the paper is to highlight how to incorporate an efficient and accurate uncertainty propagation strategy in wind turbine design. The formulation of the considered design problem does not include all the engineering constraints adopted in real turbine design, but the proposed probabilistic design strategy is fairly independent of the problem definition and can be easily extended to turbine design systems of any complexity.
10 Dec 2020
TL;DR: In this paper, the authors investigated the aerodynamic response of a scaled version of the DTU 10MW turbine to the first surge harmonic, and a frequency domain characterization was conducted involving aerodynamic damping and mass parameters.
Abstract: . The disruptive potential of floating wind turbines has attracted the interest of both the industry and the scientific community. Lacking a rigid foundation, such machines are subject to large displacements whose impact on aerodynamic performance is not yet fully explored. In this work, the unsteady aerodynamic response to harmonic-surge motion of a scaled version of the DTU 10 MW turbine is investigated in detail. The imposed displacements have been chosen representative of typical platform motion. The results of different numerical models are validated against high-fidelity wind tunnel tests specifically focused on the aerodynamics. Also, a linear analytical model relying on the quasi-steady assumption is presented as a theoretical reference. The unsteady responses are shown to be dominated by the first surge harmonic, and a frequency domain characterization, mostly focused on the thrust oscillation, is conducted involving aerodynamic damping and mass parameters. A very good agreement among the codes, the experiments, and the quasi-steady theory has been found, clarifying some literature doubts. A convenient way to describe the unsteady results in a non-dimensional form is proposed, hopefully serving as a reference for future works.
••01 Jan 2018
TL;DR: In this paper, the aerodynamic response of the rotor and the wake unsteadiness are investigated, while an evaluation of the numerical models is performed with help of wind tunnel data, and the wind turbine base is subjected to imposed sinusoidal surge oscillations to reproduce the motions of the floating platform.
Abstract: The unsteady aerodynamics of a scaled model floating horizontal-axis offshore wind turbine is investigated numerically. Different aerodynamic models are used to analyze the complex unsteady flow, namely models based on unsteady Reynold-Averaged Navier-Stokes equations, free vortex wake and blade element momentum theory. The wind turbine base is subjected to imposed sinusoidal surge oscillations to reproduce the motions of the floating platform. The aerodynamic response of the rotor and the wake unsteadiness are investigated, while an evaluation of the numerical models is performed with help of wind tunnel data.
01 Jan 2018
TL;DR: In this article, a comparison was made between steady and unsteady RANS CFD calculations from SU2 and OpenFOAM, and two different power prediction models were developed and compared, using 2D CFD data with the free vortex code AWSM and the same data with a nonlinear lifting line approach to model the power plane in its figure eight flying trajectory.
Abstract: Besides classical horizontal and vertical axis wind turbines, alternative ways to harvest wind energy are currently being explored. One promising concept is represented by airborne wind energy systems. Different airborne wind energy concepts have been ideated and investigated over the past few decades. The work reported here focuses on the concept being developed by Ampyx Power that basically generates power using a tethered airplane which drives a generator on the ground. The aim of the work reported here is to develop and compare design calculations for such a power plane. In this study a comparison was made between steady and unsteady RANS CFD calculations from SU2 and OpenFOAM. Subsequently, using the data from the CFD calculation two different power prediction models were developed and compared, one using 2D CFD data with the free vortex code AWSM and the other using the same data with a nonlinear lifting line approach to model the power plane in its figure eight flying trajectory. Overall, comparisons show that for all practical angles of attack, as well as a range of flap angles, that 2D CFD results agree extremely well between both solvers. The 3D CFD results show <20% differences on the computed total forces, despite achieving good agreement on the relative force contributions across the power plane. A very good agreement has also been established between the power prediction models.
TL;DR: In this article, a statistical rainfall model is established that describes probabilistic distributions of rain parameters that are critical for site-specific leading-edge erosion assessment, and a new droplet size distribution is determined based on two years' onshore rainfall data of an inland site in the Netherlands and the obtained DSD is compared with those from the literature.
TL;DR: In this article, an evolutionary multi-objective optimization tool based on an estimation of distribution algorithm is proposed, which uses the ranking method of non-dominated sorting genetic algorithm-II and the Parzen estimator to approximate the probability density of solutions lying on the Pareto front.
Abstract: An evolutionary multi-objective optimization tool based on an estimation of distribution algorithm is proposed. The algorithm uses the ranking method of non-dominated sorting genetic algorithm-II and the Parzen estimator to approximate the probability density of solutions lying on the Pareto front. The proposed algorithm has been applied to different types of test case problems and results show good performance of the overall optimization procedure in terms of the number of function evaluations. An alternative spreading technique that uses the Parzen estimator in the objective function space is proposed as well. When this technique is used, achieved results appear to be qualitatively equivalent to those previously obtained by adopting the crowding distance described in non-dominated sorting genetic algorithm-II.
TL;DR: This paper breaks traditional procedures and presents a DT-based optimization strategy on the consideration of both machining efficiency and aerodynamic performance, as well as builds a reified 5-dimensional DT model.
TL;DR: In this paper, a new linearization method has been used for chord and twist distributions by crossing tangent line through different points on them and the results have determined the best point along chord and twisting distribution which has higher total power coefficient in the linearization process.
TL;DR: A surrogate modeling approach is proposed that utilizes predicted fragilities from artificial neural networks (ANNs) to facilitate the performance-based assessment of a vertical structure subjected to tornadic wind loads and empowers a more robust performance- based framework for the risk evaluation of structures subjected to tornado wind loads.