Modal analysis of an iced offshore composite wind turbine blade

Lagdani, Oumnia; Tarfaoui, Mostapha; Nachtane, Mourad; Trihi, Mourad; Laaouidi, Houda

doi:10.1177/0309524x211011685

Cited by 9 publications

(5 citation statements)

References 31 publications

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“…The drag, lift, and momentum are used as a function of the blade angle ranging from 0-90. Maximum momentum was recorded from three different wind input speeds of 3 m/s, 12.5 m/s, and 25 m/s at the angle of 82 (Lagdani et al 2021). The optimal blade angle of attack on the turbine will be around 81, resulting in a rotation angle at maximum speed when the wind speed is moderate.…”

Section: Energy From Windmentioning

confidence: 99%

Archives of Environmental Protection

Erdiwansyah,

Gani,

Mamat

et al. 2022

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Pollution continues to experience a rapid increase so cities in the world have required the use of renewable energy. One of the keys that can prevent climate change with a sustainable system is renewable energy. Renewable energy production, especially for hybrid systems from biomass and wind, is the objective of the analysis in this work. The potential of feedstock for different biofuels such as bio-diesel, bio-ethanol, bio-methane, bio-hydrogen, and biomass is also discussed in this paper. The sustainability of the energy system for the long term is the main focus of work in this investigation. The configuration of the hybrid system between biomass energy and wind energy as well as some problems from various design factors are also presented. Based on the findings, this alternative energy utilization through biomass-based hybrids can save costs and improve environmental conditions, especially for the electrification of off-grid rural areas. This paper will provide important information to policymakers, academics, and investors, especially in carrying out the development and factors related to the utilization of wind-biomass-based hybrid energy systems.

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Section: Energy From Windmentioning

confidence: 99%

Archives of Environmental Protection

Erdiwansyah,

Gani,

Mamat

et al. 2022

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“…The offer a more controlled setup [2] ran experiments on a single blade where icing was simulated by adding masses but at temperatures well above freezing temperature. While [6] presents results of a sensitivity study using FE model of a blade. In the current paper an experiment was run using a single blade, suspended from its root, in OWI-lab's climate chamber.…”

Section: Introductionmentioning

confidence: 99%

Large scale test of vibration based icing detection for wind turbines

Weijtjens,

Junior,

Cloet

et al. 2024

J. Phys.: Conf. Ser.

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The build-up of ice on the blades is a known issue for wind turbine operators. In particularly in northernly countries continued operation under icing can lead to significant performance losses and increased wear of key components. Aside from the operational concerns the ice also poses a potential safety issue, as both falling ice or ice-throw can result in damages to nearby property or worse personal injury. In particular in densely populated areas, this means that turbines need to be shut down as soon as a significant risk of icing occurs. To meet these operational concerns several icing solutions have found industry wide adoption. These solutions can be divided into several categories based on the working principles to identify and quantify the icing risk. The most common icing detection solutions rely on the detection of the environmental conditions that can potentially result in icing (e.g. by detecting ice growing on a nacelle-mounted sensor). These so-called indirect methods are fairly cheap to install, yet are generally considered less sensitive to actual icing on the blades, resulting in both false negatives and positives. Direct icing methods try to identify ice as it builds up on the blade directly and are generally considered to be more reliable. They either rely on sensors glued to the surface of the blade or through monitoring the vibrations of the blade and computing the natural frequencies of the turbine’s rotor. The latter group of vibration-based techniques is the subject of this contribution. These techniques detect icing through the assumption that icing will act as an additional mass to the blade. This additional mass will then lead to a decrease of the resonance frequencies of the blade(s). When this decrease is detected, icing is inferred and an alarm is given. Note that this also requires a model to compensate for the temperature (and load) dependency of the resonance frequencies. While this strategy has found industry adoption little controlled experiments are found. This is easily explained as the method relies on the structural dynamics of the whole turbine and it is therefore difficult to perform controlled experiments. To better understand the potential and limitations of vibration based icing detection strategy this contribution presents the results of a unique experiment. A 12m wind turbine blade was instrumented with precision accelerometers and loaded into OWI-lab’s Large climate chamber. The chamber was cooled down to -10°C and icing was applied in a controlled manner using a setup designed to simulate the natural formation of ice on a wind turbine. Data was then processed using automated OMA to monitor the evolution of the natural frequencies over time and a normalization model was used to compensate for the natural variability of the resonance frequencies to temperature. The controlled nature of the experiment allows for a more in-depth quantification on the sensitivity to icing and temperature and moreover it offers a unique dataset to validate future concepts of vibration based icing detection.

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“…Navadeh et al [18] used the Finite Element Method (both ABAQUS and ANSYS packages) to analyze the vibrations of the wind turbine blade based on longleaf pine and UD composite skin material. Lagdani et al [19] compared the results of Vibration for carbon and glass epoxy materials of the wind turbine to obtain the characteristics of the dynamic response under the effect of different ice thicknesses.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Small Horizontal Axis Wind Turbines Based on Aerodynamic, Steady-State, and Dynamic Analyses

Deghoum

Gherbi

Aljibori

et al. 2023

ASI

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In this article, the model of a 5 kW small wind turbine blade is developed and improved. Emphasis has been placed on improving the blade’s efficiency and aerodynamics and selecting the most optimal material for the wind blade. The QBlade software was used to enhance the chord and twist. Also, a new finite element model was developed using the ANSYS software to analyze the structure and modal problems of the wind blade. The results presented the wind blade’s von Mises stresses and deformations using three different materials (Carbon/epoxy, E-Glass/epoxy, and braided composite). The modal analysis results presented the natural frequencies and mode shapes for each material. It was found, based on the results, that the maximum deflections of E-glass, braided composite and carbon fiber were 46.46 mm, 33.54 mm, and 18.29 mm, respectively.

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Modal analysis of an iced offshore composite wind turbine blade

Cited by 9 publications

References 31 publications

Archives of Environmental Protection

Archives of Environmental Protection

Large scale test of vibration based icing detection for wind turbines

Optimization of Small Horizontal Axis Wind Turbines Based on Aerodynamic, Steady-State, and Dynamic Analyses

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