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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: orcid Montenegro Montero, M;
    Montenegro Montero, M
    ORCID
    Harvested from ORCID Public Data File

    Montenegro Montero, M in OpenAIRE
    Arcari, V; orcid bw Cacciola, S;
    Cacciola, S
    ORCID
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    Cacciola, S in OpenAIRE
    orcid bw Croce, A;
    Croce, A
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Croce, A in OpenAIRE

    Abstract Dynamic Induction Control (DIC) has been recently proposed as means for enhancing wake recovery and, in turn, for increasing the overall produced power. A faster wake recovery is triggered by a Periodic Collective Motion (PCM), following a single sine function (S-PCM), or by a combination of Gaussian functions (G-PCM). Both techniques are associated with power gains in simple two- or three-turbine farms, but entail an increase in machine loading. A technique named the Helix approach generates a dynamic induction through a thrust that varies in direction but not in magnitude, reducing the tower loading. This work aims to analyse the impact of bluff bodies, such as nacelle and tower on the performances of PCD techniques, and to quantify the DIC impact on the loads. A 5 MW reference wind turbine is used for the model, implemented in OpenFAST and SOWFA to perform large-eddy simulations (LES). The results obtained at a distance of 3D downstream, show less evidence of the bluff bodies using the PCM than the baseline, as an effect of the increased in-wake mixing. In a two-turbine wind farm with a separation of 3D between turbines, this effect leads to an increment in the overall power output of the farm, despite the presence of the tower and nacelle. The blockage itself does not seem to hamper the effectiveness of DIC. In both cases, DIC is responsible for an increment of about 7% in the overall power output.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ RE.PUBLIC@POLIMI Res...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Journal of Physics : Conference Series
    Article . 2022 . Peer-reviewed
    License: CC BY
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ RE.PUBLIC@POLIMI Res...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Journal of Physics : Conference Series
      Article . 2022 . Peer-reviewed
      License: CC BY
      Data sources: Crossref
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Pierluigi Montinari; Federico Gualdoni; orcid bw Carlo L. Bottasso;
    Carlo L. Bottasso
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Carlo L. Bottasso in OpenAIRE
    Carlo L. Bottasso; +1 Authors

    Abstract The paper characterizes the performance of a passive flap concept when applied to a modern very large conceptual wind turbine. The passive flap responds automatically to blade and/or tower vibrations, inducing a change of camber that opposes dynamic loads on the wind turbine. This is obtained in a purely passive manner, without the need for actuators or sensors. The present study is based on a detailed, geometrically exact multibody formulation of the device, which is able to capture all kinematic and structural dynamic effects of this inertia-driven device. The present modeling of the passive device improves on previous studies conducted with simplified models. Results show a significant ability in the reduction of both fatigue and ultimate loads, including the case of flap-specific fault scenarios. Solutions for limiting losses in energy yield caused by non-null average flap rotations in the partial load region are also investigated. The present analysis motivates further studies aimed at reaping the benefits of load alleviation enabled by the passive flap, for example by designing a new enlarged rotor at similar key loads on the rest of the machine.

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    Journal of Wind Engineering and Industrial Aerodynamics
    Article . 2018 . Peer-reviewed
    License: Elsevier TDM
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Journal of Wind Engineering and Industrial Aerodynamics
      Article . 2018 . Peer-reviewed
      License: Elsevier TDM
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: orcid bw Frederik, Joeri Alexis;
    Frederik, Joeri Alexis
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Frederik, Joeri Alexis in OpenAIRE
    Weber, Robin; orcid bw Cacciola, Stefano;
    Cacciola, Stefano
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Cacciola, Stefano in OpenAIRE
    orcid Campagnolo, Filippo;
    Campagnolo, Filippo
    ORCID
    Harvested from ORCID Public Data File

    Campagnolo, Filippo in OpenAIRE
    +3 Authors

    Abstract. In this paper, the potential of Dynamic Induction Control (DIC), which has shown promising results in recent simulation studies, is further investigated. When this control strategy is implemented, a turbine varies its induction factor dynamically over time. In this paper, only periodic variation, where the input is a sinusoid, are studied. A proof of concept for this periodic DIC approach will be given by execution of scaled wind tunnel experiments, showing for the first time that this approach can yield power gains in real-world wind farms. Furthermore, the effects on the Damage Equivalent Loads (DEL) of the turbine are evaluated in a simulation environment. These indicate that the increase in DEL on the excited turbine is limited.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ RE.PUBLIC@POLIMI Res...arrow_drop_down
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    https://doi.org/10.5194/wes-20...
    Article . 2019 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    https://wes.copernicus.org/art...
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    License: CC BY
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    Wind Energy Science
    Article . 2020 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Wind Energy Science
    Article
    License: CC BY
    Data sources: UnpayWall
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Article . 2019
    License: CC BY
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Article . 2019
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Article . 2019
    License: CC BY
    Data sources: Datacite
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    Wind Energy Science
    Other literature type . 2020
    Data sources: Copernicus
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Wind Energy Science
    Article . 2020
    Data sources: DOAJ
    Copernicus Publications
    Other literature type . 2020
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ RE.PUBLIC@POLIMI Res...arrow_drop_down
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      https://doi.org/10.5194/wes-20...
      Article . 2019 . Peer-reviewed
      License: CC BY
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      Wind Energy Science
      Article . 2020 . Peer-reviewed
      License: CC BY
      Data sources: Crossref
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Wind Energy Science
      Article
      License: CC BY
      Data sources: UnpayWall
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Article . 2019
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      ZENODO
      Article . 2019
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Article . 2019
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      Data sources: Datacite
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      Wind Energy Science
      Other literature type . 2020
      Data sources: Copernicus
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      Wind Energy Science
      Article . 2020
      Data sources: DOAJ
      Copernicus Publications
      Other literature type . 2020
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    Authors: orcid Carlo L. Bottasso;
    Carlo L. Bottasso
    ORCID
    Harvested from ORCID Public Data File

    Carlo L. Bottasso in OpenAIRE
    Carlo L. Bottasso; orcid Alessandro Croce;
    Alessandro Croce
    ORCID
    Harvested from ORCID Public Data File

    Alessandro Croce in OpenAIRE
    orcid Pietro Bortolotti;
    Pietro Bortolotti
    ORCID
    Harvested from ORCID Public Data File

    Pietro Bortolotti in OpenAIRE

    Abstract. This paper is concerned with the holistic optimization of wind turbines. A multi-disciplinary optimization procedure is presented that marries the overall sizing of the machine in terms of rotor diameter and tower height (often termed “preliminary design”) with the detailed sizing of its aerodynamic and structural components. The proposed combined preliminary–detailed approach sizes the overall machine while taking into full account the subtle and complicated couplings that arise due to the mutual effects of aerodynamic and structural choices. Since controls play a central role in dictating performance and loads, control laws are also updated accordingly during optimization. As part of the approach, rotor and tower are sized simultaneously, even in this case capturing the mutual effects of one component over the other due to the tip clearance constraint. The procedure, here driven by detailed models of the cost of energy, results in a complete aero-structural design of the machine, including its associated control laws. The proposed methods are tested on the redesign of two wind turbines, a 2.2 MW onshore machine and a large 10 MW offshore one. In both cases, the optimization leads to significant changes with respect to the initial baseline configurations, with noticeable reductions in the cost of energy. The novel procedures are also exercised on the design of low-induction rotors for both considered wind turbines, showing that they are typically not competitive with conventional high-efficiency rotors.

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    Wind Energy Science
    Article . 2016 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    Wind Energy Science
    Article
    License: CC BY
    Data sources: UnpayWall
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    Wind Energy Science
    Other literature type . 2018
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    Wind Energy Science
    Article . 2016
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      Wind Energy Science
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      Wind Energy Science
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      Wind Energy Science
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    Authors: orcid Alessandro Croce;
    Alessandro Croce
    ORCID
    Harvested from ORCID Public Data File

    Alessandro Croce in OpenAIRE
    orcid bw Stefano Cacciola;
    Stefano Cacciola
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Stefano Cacciola in OpenAIRE
    Federico Isella;

    Abstract. Power derating and wake redirection are two wind farm control techniques proposed in the last decade as means for increasing the overall wind farm power output. While derating operations are associated with a limited gain in terms of farm energy harvesting and with a decrease in turbine loading levels, farm controls based on wake redirection proved, both in silico and experimental tests, to entail significant increases in the overall wind farm power output. However, according to wake redirection strategies, the upstream wind turbines may typically operate at large yaw misalignment angles, and the possible increase in loads that the machines may experience in such conditions represents a source of concern when it comes to testing this control on existing farms that are not specifically designed for prolonged misaligned operations. In this work, it is first demonstrated that a suitable derating level can compensate for the increase in the rotor loads associated with large misalignment angles. Secondarily, two load-constrained wind farm controls based on a combination of wake redirection and derating are proposed with the aim of maximizing the overall farm output while maintaining unaltered design load envelope of the wind turbines operating within the controlled wind farm.

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    Wind Energy Science
    Article . 2024 . Peer-reviewed
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    Wind Energy Science
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      Wind Energy Science
      Article . 2024 . Peer-reviewed
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      Wind Energy Science
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    Authors: orcid Alessandro Croce;
    Alessandro Croce
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    Harvested from ORCID Public Data File

    Alessandro Croce in OpenAIRE
    orcid bw Stefano Cacciola;
    Stefano Cacciola
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    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Stefano Cacciola in OpenAIRE
    Luca Sartori; Paride De Fidelibus;

    Abstract. Wind farm control is one of the solutions recently proposed to increase the overall energy production of a wind power plant. A generic wind farm control is typically synthesized so as to optimize the energy production of the entire wind farm by reducing the detrimental effects due to wake-turbine interactions. As a matter of fact, the performance of a farm control is typically measured by looking mainly at the increase of produced power, possibly weighted with the wind Weibull and rose at a specific place, and, sometimes, by looking also at the fatigue loads. However, an aspect which is rather overlooked is the evaluation of the impact that a farm control law has on the maximum loads and on the dynamic responses under extreme conditions of the individual wind turbine. In this work, two promising wind farm controls, based respectively on Wake Redirection (WR) and Dynamic Induction Control (DIC) strategy, are evaluated at a single wind turbine level. To do so, a two-pronged analysis is performed. Firstly, the control techniques are evaluated in terms of the related impact on some specific key performance indicators (e.g. fatigue and ultimate loads, actuator duty cycle and annual energy production). Secondarily, an optimal blade redesign process, which takes into account the presence of the wind farm control, is performed with the goal of quantifying the possible modification in the structure of the blade and hence of quantifying the impact of the control on the Cost of Energy model.

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    https://doi.org/10.5194/wes-20...
    Article . 2020 . Peer-reviewed
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    Wind Energy Science
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      https://doi.org/10.5194/wes-20...
      Article . 2020 . Peer-reviewed
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      Wind Energy Science
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    Authors: orcid BOTTASSO, CARLO LUIGI;
    BOTTASSO, CARLO LUIGI
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    orcid CAMPAGNOLO, FILIPPO;
    CAMPAGNOLO, FILIPPO
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    orcid CROCE, ALESSANDRO;
    CROCE, ALESSANDRO
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    CROCE, ALESSANDRO in OpenAIRE
    orcid C. Tibaldi;
    C. Tibaldi
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    C. Tibaldi in OpenAIRE

    ABSTRACTThis work is concerned with the design of wind turbine blades with bend‐twist‐to‐feather coupling that self‐react to wind fluctuations by reducing the angle of attack, thereby inducing a load mitigation effect. This behavior is obtained here by exploiting the orthotropic properties of composite materials by rotating the fibers away from the pitch axis.The first part of this study investigates the possible configurations for achieving bend‐twist coupling. At first, fully coupled blades are designed by rotating the fibers for the whole blade span, and a best compromise solution is found to limit weight increase by rotations both in the spar caps and in the skin. Next, partially coupled blades are designed where fibers are rotated only on the outboard part of the blade, this way achieving good load mitigation capabilities together with weight savings. All blades are designed with a multilevel constrained optimization procedure, on the basis of combined cross‐sectional, multibody aero‐servo‐elastic and three‐dimensional finite element models.Finally, the best configuration of the passive coupled blade is combined with an active individual pitch controller. The synergistic use of passive and active load mitigation technologies is shown to allow for significant load reductions while limiting the increase in actuator duty cycle, thanks to the opposite effects on this performance metric of the passive and active control solutions. Copyright © 2012 John Wiley & Sons, Ltd.

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    Wind Energy
    Article . 2012 . Peer-reviewed
    License: Wiley Online Library User Agreement
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      Wind Energy
      Article . 2012 . Peer-reviewed
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    Authors: González-Salcedo, Álvaro; orcid bw Croce, Alessandro;
    Croce, Alessandro
    ORCID
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    Croce, Alessandro in OpenAIRE
    orcid Arce León, Carlos;
    Arce León, Carlos
    ORCID
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    Arce León, Carlos in OpenAIRE
    Nayeri, Christian Navid; +3 Authors

    This chapter focuses on the application of passive flow control technologies to wind turbine blades. The motivation of using these technologies is always an enhancement of the wind turbine performance (increase of power production, load reduction, noise reduction, etc.) in comparison to the standard blade. Passive flow control solutions can be limited to static add-ons or involve more significant modifications of the blade for dynamic approaches. Furthermore, these technologies can be included in the initial design of the blade or included later as add-ons to improve the performance of an existing blade design. A large number of passive technologies have been proposed for wind turbine applications, although the level of maturity is not the same for all of them ranging from conceptual studies in some cases to commercial products in others. Some representative examples of specific technologies are included in this chapter: vortex generators, static miniflaps, root spoilers, serrations, winglets, passive flaps, and aeroelastic coupling. For each technology, some aspects related to the state of the art, main concept, impact on the wind turbine performance, application, and design have been described. Finally, passive flow control technologies have to be integrated into the design process of wind turbines. To select and properly apply the most suitable technology for each specific problem, the chapter highlights the importance of modeling tools, design methodologies, objectives and restrictions, design parameters, and scale of impact of each passive flow control solution. In addition, from a general point of view, some design guidelines have been mentioned.

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    https://doi.org/10.1007/978-3-...
    Part of book or chapter of book . 2020 . Peer-reviewed
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    https://doi.org/10.1007/978-3-...
    Part of book or chapter of book . 2022 . Peer-reviewed
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      https://doi.org/10.1007/978-3-...
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      https://doi.org/10.1007/978-3-...
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    Authors: Sabrina Milani; Jessica Leoni; orcid bw Stefano Cacciola;
    Stefano Cacciola
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    Stefano Cacciola in OpenAIRE
    orcid Alessandro Croce;
    Alessandro Croce
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    Alessandro Croce in OpenAIRE
    +1 Authors

    Abstract. In recent years, timely anomaly detection in wind turbine operations, especially offshore, has become critical. Yet, promptly identifying faults and damage remains a significant challenge, leading to costly maintenance and consumption of resources. Rotor blade pitch misalignment constitutes an essential issue, causing downtime and reduced energy production. Traditional inspection methods are resource-intensive, time-consuming, and also struggle to identify the specific misaligned blades. In addition, their accuracy degrades in the case of small misalignments and strongly depends on the wind regimes, as they are less reliable in turbulence. The absence of an effective automatic solution persists, requiring costly on-site verification. To tackle this challenge, this paper introduces a novel machine-learning-based approach that relies on the combination of random forest classifier instances and linear regression for automatic pitch misalignment detection and localization. This approach not only localizes the affected blades but also detects small misalignments as low as 0.1°. Validation using virtual data coming from a state-of-the-art simulator shows the approach's ability to detect and localize misalignment accurately, even with multiple misaligned blades and in different turbulence conditions, achieving an F1 score exceeding 93 %. Additionally, regression analysis proves the capability of the framework to detect misalignments as low as 0.1° with a root mean square error of 5.48 %. The methodology relies on features extracted from a limited set of sensors already integrated into modern wind turbine systems. Specifically, the extracted indicators are designed to effectively integrate frequency and time domain information on turbine operating conditions, enabling high detection performance even in turbulent wind regimes. The approach is validated across an extended operational envelope using data gathered from a state-of-the-art simulation model commonly used for designing and certifying commercial wind turbine systems.

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    Wind Energy Science
    Article . 2025 . Peer-reviewed
    License: CC BY
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    https://doi.org/10.5194/wes-20...
    Article . 2024 . Peer-reviewed
    License: CC BY
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    Wind Energy Science
    Article . 2025
    Data sources: DOAJ
    https://doi.org/10.2139/ssrn.4...
    Article . 2024 . Peer-reviewed
    Data sources: Crossref
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      Wind Energy Science
      Article . 2025 . Peer-reviewed
      License: CC BY
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      https://doi.org/10.5194/wes-20...
      Article . 2024 . Peer-reviewed
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      Wind Energy Science
      Article . 2025
      Data sources: DOAJ
      https://doi.org/10.2139/ssrn.4...
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    Authors: Yilmazlar, Kutay; orcid bw Cacciola, Stefano;
    Cacciola, Stefano
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    Cacciola, Stefano in OpenAIRE
    Alfonso Rodriguez, Maryi Xiolesmy; orcid bw Croce, Alessandro;
    Croce, Alessandro
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    Croce, Alessandro in OpenAIRE

    Abstract The goal of any multidisciplinary design optimization problem for wind power plants is to reduce the overall levelized cost of the energy. When it comes to designing a wind farm, one has to find the best combination of multiple parameters, such as turbine types, turbine dimensions and farm layout, to ensure the minimum cost. Clearly, since any design parameter may affect several cost items and performance indices of a farm, the most cost-effective solution should handle the mutual coupling among all design variables. For example, increasing the turbine spacing surely has a positive impact on energy production due to the minimization of wake losses, but, at the same time, may have a detrimental impact on the cost of cabling. In order to assist multidisciplinary design activities for wind farms and wind turbines, the present work is aimed at developing a tool for preliminary estimation of the levelized cost of energy of land- and sea-based wind farms. Such a tool is based on a modular architecture, which will ease the integration of the tool in a multi-level design framework. Each module of the tool implements one or more engineering models to estimate all cost items along with the annual energy production of the farm, starting from a few pieces of information related to turbine types and dimensions, farm geometry and wind conditions.

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    Journal of Physics : Conference Series
    Article . 2022 . Peer-reviewed
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