Search Results - "Wind energy (Chichester, England)"

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  1. 1

    A prediction approach using ensemble empirical mode decomposition‐permutation entropy and regularized extreme learning machine for short‐term wind speed by Zhongda Tian, Shujiang Li, Yanhong Wang

    Published in Wind energy (Chichester, England) (01-02-2020)
    “…Abstract Accurate prediction of short‐term wind speed is of great significance to the operation and maintenance of wind farms, the optimal scheduling of…”
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    Journal Article
  2. 2

    The effect of resin uptake on the flexural properties of compression molded sandwich composites by Cao, Dongyang, Malakooti, Sadeq, Kulkarni, Vijay N., Ren, Yao, Liu, Yingjian, Nie, Xu, Qian, Dong, Griffith, D. Todd, Lu, Hongbing

    Published in Wind energy (Chichester, England) (01-01-2022)
    “…Resin uptake plays a critical role in the stiffness‐to‐weight ratio of wind turbine blades in which sandwich composites are used extensively. This work…”
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  3. 3

    Combining SCADA and vibration data into a single anomaly detection model to predict wind turbine component failure by Turnbull, Alan, Carroll, James, McDonald, Alasdair

    Published in Wind energy (Chichester, England) (01-03-2021)
    “…Reducing downtime through predictive or condition‐based maintenance is a promising strategy to help reduce costs associated with wind farm operation and…”
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  4. 4

    Multi‐fidelity digital twin structural model for a sub‐scale downwind wind turbine rotor blade by Chetan, Mayank, Yao, Shulong, Griffith, D. Todd

    Published in Wind energy (Chichester, England) (01-12-2021)
    “…This paper presents the development of a multi‐fidelity digital twin structural model (virtual model) of an as‐built wind turbine blade. The goal is to develop…”
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  5. 5

    New design of robust PID controller based on meta‐heuristic algorithms for wind energy conversion system by Mahmoud Elsisi

    Published in Wind energy (Chichester, England) (01-02-2020)
    “…Abstract This paper proposes a new robust control method for a wind energy conversion system. The suggested method can damp the deviations in the generator…”
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  6. 6

    Blockage effects in wind farms by Antonio Segalini, Jan‐Åke Dahlberg

    Published in Wind energy (Chichester, England) (01-02-2020)
    “…Abstract An experimental study of wind farm blockage has been performed to quantify the velocity decrease that the first row of a wind farm experiences due to…”
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  7. 7

    A new wake‐merging method for wind‐farm power prediction in the presence of heterogeneous background velocity fields by Lanzilao, Luca, Meyers, Johan

    Published in Wind energy (Chichester, England) (01-02-2022)
    “…The difference in surface roughness between land and sea, and the terrain complexities, lead to spatially heterogeneous atmospheric conditions, and therefore…”
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  8. 8

    An efficient blade sweep correction model for blade element momentum theory by Fritz, Erik Kaspar, Ferreira, Carlos, Boorsma, Koen

    Published in Wind energy (Chichester, England) (01-12-2022)
    “…This article proposes an efficient correction model that enables the extension of the blade element momentum method (BEM) for swept blades. Standard BEM…”
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  9. 9

    A probabilistic long‐term framework for site‐specific erosion analysis of wind turbine blades: A case study of 31 Dutch sites by Shankar Verma, Amrit, Jiang, Zhiyu, Ren, Zhengru, Caboni, Marco, Verhoef, Hans, Mijle‐Meijer, Harald, Castro, Saullo G.P., Teuwen, Julie J.E.

    Published in Wind energy (Chichester, England) (01-11-2021)
    “…Rain‐induced leading‐edge erosion (LEE) of wind turbine blades (WTBs) is associated with high repair and maintenance costs. The effects of LEE can be triggered…”
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  10. 10

    A review of modelling techniques for floating offshore wind turbines by Otter, Aldert, Murphy, Jimmy, Pakrashi, Vikram, Robertson, Amy, Desmond, Cian

    Published in Wind energy (Chichester, England) (01-05-2022)
    “…Modelling floating offshore wind turbines (FOWTs) is challenging due to the strong coupling between the aerodynamics of the turbine and the hydrodynamics of…”
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  11. 11

    Constrained power reference control for wind turbines by Zalkind, Daniel S., Nicotra, Marco M., Pao, Lucy Y.

    Published in Wind energy (Chichester, England) (01-05-2022)
    “…The cost of wind energy can be reduced by controlling the power reference of a turbine to increase energy capture, while maintaining load and generator speed…”
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  12. 12

    Improving reliability and safety of airborne wind energy systems by Volkan Salma, Felix Friedl, Roland Schmehl

    Published in Wind energy (Chichester, England) (01-02-2020)
    “…Abstract Airborne wind energy systems use tethered flying devices to harvest wind energy beyond the height range accessible to tower‐based wind turbines…”
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  13. 13

    Wake expansion continuation: Multi‐modality reduction in the wind farm layout optimization problem by Thomas, Jared J., McOmber, Spencer, Ning, Andrew

    Published in Wind energy (Chichester, England) (01-04-2022)
    “…In this paper we present a continuation optimization method for reducing multi‐modality in the wind farm layout optimization problem that we call wake…”
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  14. 14

    Evaluating the accuracy of the actuator line model against blade element momentum theory in uniform inflow by Liu, Luoqin, Franceschini, Lucas, Oliveira, Daniel F., Galeazzo, Flavio C.C., Carmo, Bruno S., Stevens, Richard J. A. M.

    Published in Wind energy (Chichester, England) (01-06-2022)
    “…We evaluate the accuracy of the actuator line model (ALM) approach by performing simulations for the NREL 5‐MW wind turbine in uniform inflow using three large…”
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  15. 15

    On the wake deflection of vertical axis wind turbines by pitched blades by Huang, Ming, Sciacchitano, Andrea, Ferreira, Carlos

    Published in Wind energy (Chichester, England) (01-04-2023)
    “…Wake losses are a critical consideration in wind farm design. The ability to steer and deform wakes can result in increased wind farm power density and reduced…”
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  16. 16

    Wake steering of multirotor wind turbines by Speakman, Gustav A., Abkar, Mahdi, Martínez‐Tossas, Luis A., Bastankhah, Majid

    Published in Wind energy (Chichester, England) (01-11-2021)
    “…In this paper, wake steering is applied to multirotor turbines to determine whether it has the potential to reduce wind plant wake losses. Through application…”
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  17. 17

    Experimental Study on Identification of Aerodynamic Damping Matrix for the Tower of an Operating Wind Turbine by Artificial Excitation by Wang, Zhaowei, Lu, Shengxin, Wu, Ningyu, Hua, Xugang, Chen, Chao

    Published in Wind energy (Chichester, England) (09-11-2024)
    “…ABSTRACT Quantitation of damping is of great significance for the design and condition assessment of wind turbines. The authors' previous theoretical and…”
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  18. 18

    Infrared Thermography of Turbulence Patterns of Operational Wind Turbine Rotor Blades Supported With High‐Resolution Photography: KI‐VISIR Dataset by Chaudhuri, Somsubhro, Stamm, Michael, Lapšanská, Ivana, Lançon, Thibault, Osterbrink, Lars, Driebe, Thomas, Hein, Daniel, Harendt, René

    Published in Wind energy (Chichester, England) (07-11-2024)
    “…ABSTRACT With increasing wind energy capacity and installation of wind turbines, new inspection techniques are being explored to examine wind turbine rotor…”
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  19. 19

    Wind Speed‐Up in Wind Farm Wakes Quantified From Satellite SAR and Mesoscale Modeling by Hasager, Charlotte Bay, Imber, James, Fischereit, Jana, Fujita, Aito, Dimitriadou, Krystallia, Badger, Merete

    Published in Wind energy (Chichester, England) (01-11-2024)
    “…ABSTRACT Satellite synthetic aperture radar (SAR) provides ocean surface wind fields at 10 m above sea level. The objective is to investigate the capability of…”
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  20. 20

    A Study of the Near Wake Deformation of the X‐Rotor Vertical‐Axis Wind Turbine With Pitched Blades by Bensason, David, Sciacchitano, Andrea, Giri Ajay, Adhyanth, Simao Ferreira, Carlos

    Published in Wind energy (Chichester, England) (01-11-2024)
    “…ABSTRACT Recent studies have revealed the large potential of vertical‐axis wind turbines (VAWTs) for high‐energy‐density wind farms due to their favorable wake…”
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