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261 results for “Turbine”

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zenodo36/100

Supplemental Material to Doctoral Thesis "Engineering approach for predicting tunneling crack initiation in trailing-edge adhesive joints of wind turbine blades under mechanical fatigue and thermal residual stresses"

<p>This set supplements the figure data to the doctoral thesis "Engineering approach for predicting tunneling crack initiation in trailing-edge adhesive joints of wind turbine blades under mechanical fatigue and thermal residual stresses", DOI: <a href="https://doi.org/10.14279/depositonce-19144">10.14279/depositonce-19144</a></p>

opencc-by-4.0Dec 2023View details →
zenodo36/100

META-DATA for IEA Wind Task 46 report: Atmospheric drivers of wind turbine blade leading edge erosion: Hydrometeors

<p>The objectives of the work summarized in the report that accompanies this dataset&nbsp;are to:</p> <ul> <li>Describe crucial meteorological parameters for wind turbine blade leading edge erosion</li> <li>Describe technologies appropriate to measurement of hydroclimates and specifically hydrometeor size distributions and phase</li> <li>Identify available data sets that are available to describe hydrometeor size distributions and phase and generate meta-data for data sets available for use in mapping wind turbine blade leading edge erosion potential. This dataset&nbsp;summarizes those meta-data.&nbsp;</li> <li>Identify priority geographic areas for geospatial mapping of wind turbine blade leading edge erosion potential <p>&nbsp;</p> </li> </ul>

opencc-by-4.0Nov 2021View details →
zenodo36/100

Data Supplement for 'Curled Wake Development of a Yawed Wind Turbine at Turbulent and Sheared Inflow' - Wind Energy Science Journal

<p>Data Supplement for &#39;Curled Wake Development of a Yawed Wind Turbine at Turbulent and Sheared Inflow&#39; - Wind Energy Science Journal</p> <p>This database contains the measurement using a model wind turbine with 0.6m diameter(D) in a wind tunnel. A short-range Lidar WindScanner facilitated mapping the wake with a high spatial and temporal resolution in vertical, cross-stream planes at different downstream locations and in a horizontal plane at hub height.</p> <p>The measurement campaign was conducted in the large wind tunnel at ForWind-University of Oldenburg. The wind tunnel has a test section cross-section with the dimensions of 3m x3m. For this study three movable test section elements of 6m length were attached for a total enclosed length of 18m. The roof of the test section was adjusted to compensate for boundary layer growth&nbsp; to achieve a zero pressure gradient for the target wind speed of the experiments, nominally 7.5m/s, with an empty tunnel with no grid or turbine installed. The three-bladed MoWiTO 0.6 wind turbine model(Schottler et al.(2016)), with a hub height (h) of 0.77m and a diameter of 0.58m was placed at a distance of 2.4D downstream of the test section inlet, where the distance was measured to the centre of the rotor. In addition, the distance between the rotor center and the tower center is 110mm.<br> The flow blockage, based on rotor swept area and tower flow-facing area, was 2.7%. The wind turbine controller is based on the torque of the generator (Petrovi ́c et al. (2018)) leading to a tip speed ratio of 5.7 at the operational point during non-misaligned cases with no grid. More information can be found in the paper.</p> <p>The folder contains 12 unique .mat files each containing a matlab structure. The matlab structure conatins the vertical and horizontal scan for each inflow and operational condition:<br> With the upstream turbine installed:<br> &nbsp;- Yaw0_Uniform_NoGrid<br> &nbsp;&nbsp; &nbsp;- 1D, 2D, 3D, 5D, 13D, 16D, Horizontal<br> &nbsp;- Yaw30_Uniform_NoGrid<br> &nbsp;&nbsp; &nbsp;- 1D, 2D, 3D, 5D, 13D, 16D, Horizontal<br> &nbsp;- Yawneg30_Uniform_NoGrid<br> &nbsp;&nbsp; &nbsp;- 1D, 2D, 3D, 5D, 13D, 16D, Horizontal</p> <p>&nbsp;- Yaw0_Uniform_PassiveGrid<br> &nbsp;&nbsp; &nbsp;- 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> &nbsp;- Yaw30_Uniform_PassiveGrid<br> &nbsp;&nbsp; &nbsp;- 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> &nbsp;- Yawneg30_Uniform_PassiveGrid<br> &nbsp;&nbsp; &nbsp;- 1D, 2D, 3D, 5D, 7D, 10D, Horizontal&nbsp;&nbsp; &nbsp;</p> <p>&nbsp;- Yaw0_BoundaryLayer_PassiveGrid<br> &nbsp;&nbsp; &nbsp;- 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> &nbsp;- Yaw30_BoundaryLayer_PassiveGrid<br> &nbsp;&nbsp; &nbsp;- 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> &nbsp;- Yawneg30_BoundaryLayer_PassiveGrid<br> &nbsp;&nbsp; &nbsp;- 1D, 2D, 3D, 5D, 7D, 10D, Horizontal&nbsp;&nbsp; &nbsp;</p> <p>Without the upstream turbine installed:<br> &nbsp;- NoTurbine_Uniform_NoGrid<br> &nbsp;&nbsp; &nbsp;- 1D, 2D, 3D, 5D, 13D, 16D<br> &nbsp;- NoTurbine_Uniform_PassiveGrid<br> &nbsp;&nbsp; &nbsp;- 0D, 1D, 2D, 3D, 5D, 7D, 10D<br> &nbsp;- NoTurbine_BoundaryLayer_PassiveGrid<br> &nbsp;&nbsp; &nbsp;- 0D, 1D, 2D, 3D, 5D, 7D, 10D&nbsp;&nbsp; &nbsp;</p> <p>Within each substructure the following parameters are provided:<br> &nbsp;- v_los [m/s] ----------&gt; Line of sight velocity<br> &nbsp;- sigma [m/s] ----------&gt; Spectrum width<br> &nbsp;- x_Global_frame [m] ---&gt; x-coordinate referenced at the lower grid midpoint<br> &nbsp;- y_Global_frame [m] ---&gt; y-coordinate referenced at the lower grid midpoint<br> &nbsp;- z_Global_frame [m] ---&gt; z-coordinate referenced at the lower grid midpoint<br> &nbsp;- xx [m] ---------------&gt; Grid of the x-coordinate referenced at the lower grid midpoint<br> &nbsp;- yy [m] ---------------&gt; Grid of the y-coordinate referenced at the lower grid midpoint<br> &nbsp;- zz [m] ---------------&gt; Grid of the z-coordinate referenced at the lower grid midpoint<br> &nbsp;- uu [m/s] -------------&gt; Horizontal wind speed at the position of the gridded coordinates, these data have been interpolated onto the grid<br> &nbsp;</p> <p>When using this database please reference to the journal paper.</p> <p>All data has been included without warranty, express or implied.</p> <p>For further questions, please contact the corresponding author.<br> &nbsp;</p>

opencc-by-4.0Nov 2021View details →
zenodo36/100

Data generated for study of simultaneous design of wind turbines and cable layout in offshore wind

<p>This set of files contains the results of the models proposed in the manuscript: &quot;P&eacute;rez-R&uacute;a, J.-A. and Cutululis, N. A.: A Framework for Simultaneous Design of Wind Turbines and Cable Layout in Offshore Wind, Wind Energ. Sci. Discuss. [preprint], https://doi.org/10.5194/wes-2021-47, in review, 2021.&quot;</p>

opencc-by-4.0Jan 2022View details →
zenodo36/100

Figures data from papers "Breakdown of the velocity and turbulence in the wake of a wind turbine", parts 1 and 2

<p>This python file makeFigure.py along with the .json files in folder Data/ allows to draw pictures corresponding to the articles &quot;Breakdown of the velocity and turbulence in the wake of a wind turbine&quot; - Part 1 and Part 2 published in Wind Energy Science. &nbsp;The .sh file makeFolders selects and separate the figures needed for the two parts.</p> <p>Slightly more informations are available in the data compared to the article, due to lack of space. In particular, one can found all the planes data from 1 to 8D downstream (instead of only 1D, 5D and 8D) and some data for the unstable and stable cases that were only shown for the neutral case in the paper.</p> <p><br> Do not hesitate to contact me if more informations are needed.</p>

opencc-by-4.0May 2022View details →
zenodo36/100

Vertical wake deflection for floating wind turbines by differential ballast control

<pre>This paper presents a feasibility analysis of vertical wake steering for floating turbines by differential ballast control. This new concept is based on the idea of pitching the floater with respect to the watersurface, thereby achieving a desired tilt of the turbine rotor disk. The pitch attitude is controlled by moving water ballast among the columns of the floater. This study considers the application of differential ballast control to a conceptual 10~MW wind turbine installed on two platforms, differing in size, weight and geometry. The analysis considers: a) the aerodynamic effects caused by rotor tilt on the power capture of the wake-steering turbine and at various downstream distances in its wake; b) the effects of tilting on fatigue and ultimate loads, limitedly to one of the two turbine-platform layouts; and c) for both configurations, the necessary amount of water movement, the time to achieve a desired attitude and the associated energy expenditure. Results indicate that (in accordance with previous research) steering the wake towards the sea surface leads to larger power gains than steering it towards the sky. Limitedly to the structural analysis conducted on one of the turbine-platform configurations, it appears that these gains can be obtained with only minor effects on loads, assuming a cautious application of vertical steering only in benign ambient conditions. Additionally, it is found that rotor tilt can be achieved in the order of minutes for the lighter of the two configurations, with reasonable water ballast movements.Although the analysis is preliminary and limited to the specific cases considered here, results seem to suggest that the concept is not unrealistic, and should be further investigated as a possible means to achieve variable tilt control for vertical wake steering in floating turbines.</pre>

opencc-by-4.0Jul 2022View details →
dryad36/100

Activity of forest specialist bats decreases towards wind turbines at forest sites

<p><span>Worldwide, wind turbines are increasingly being built at forest sites to meet the goals of national climate strategies. Yet, the impact on forest ecosystems and biodiversity is barely understood. Bats may be heavily affected by wind turbines in forests, because many species depend on forest ecosystems for roosting and hunting and can experience high fatality rates at wind turbines. <br></span></p> <p><span>We performed acoustic surveys in 24 temperate forests in the low mountain ranges of Central Germany to monitor changes in the acoustic activity of bats in relation to wind turbine proximity, rotor size, vegetation structure and season. Call sequences were identified and assigned to one of three functional guilds: open-space, edge-space and narrow-space foragers, the latter being mainly forest specialists. <br></span></p> <p><span>Based on the response behaviour of bats towards wind turbines in open landscapes, we predicted decreasing bat activity towards wind turbines at forest sites, especially for narrow-space foragers. <br></span></p> <p><span>Vertical vegetation heterogeneity had a strong positive effect on all bats, yet responses to wind turbines in forests varied across foraging guilds. Activity of narrow-space foragers decreased towards turbines over distances of several hundred meters, especially towards turbines with large rotors and during midsummer months. The activity of edge-space foragers did not change with distance to turbines or season, whereas the activity of open-space foragers increased close to turbines only in late summer. </span><span><br></span></p> <p><span><em>Synthesis and applications</em>: We show that narrow-space foragers avoid wind turbines in forests over a spatial scale of several hundred meters. This response was most apparent towards turbines with large rotors. Since forests are an important habitat for this guild, we advise to exclude forests with diverse vegetation structure as potential wind turbine sites and to consider compensation measures to account for habitat degradation associated with the operation of wind turbines in forests.</span></p>

opencc-zeroJul 2022View details →
dryad36/100

Confirmation that eagle fatalities can be reduced by automated curtailment of wind turbines

<p>1. Automated curtailment is potentially a powerful technique to reduce collision mortality of wildlife with wind turbines. Previously, we used a before-after-control-impact framework to demonstrate that eagle fatalities declined after automated curtailment was implemented with the IdentiFlight system at a wind power facility in Wyoming, USA. We received substantial interest and feedback regarding our study and, here, we implement several analytical suggestions and include more recent data that strengthen the inference we draw from our results.</p> <p>2. The five main analytical suggestions we received were to 1) exclude from analysis data that were collected during the period when automated curtailment was only partially implemented; 2) only analyze data from a single make and model of turbine; 3) evaluate changes in the rate of fatality, instead of the yearly numbers of fatalities that result from fluctuations around that rate; 4) calculate the standard measure determining effects of a treatment in a before-after-control-impact study; and, 5) examine yearly fluctuations of the fatality rate during the before period.</p> <p>3. After incorporating these suggestions and including additional data collected since the prior paper was published, our results confirm prior work. We demonstrate that eagle fatalities were reduced by 85% (95% highest density interval = 12%, 100%) after implementation of automated curtailment. Rate of fatalities declined by 2.85 eagles per year (-0.67, 5.70) between before and after periods at the treatment site and increased by 2.26 eagles per year (-7.37, 1.77) at the control site. Overall, the fatality rate declined by 4.91 (-0.27, 11.27) more eagles per year at the treatment site than at the control site. The probability that the fatality rate declined at the treatment site relative to the control site was 0.97.</p> <p>4. Our re-analysis strengthens our inference by using more robust analyses and data to support the conclusions of the prior study suggesting that automated curtailment was effective at reducing eagle fatalities at our treatment site. Because of the site- and species-specific nature of our work, future research should examine the efficacy of automated curtailment at other sites, with other species, and under different curtailment regimes.</p>

opencc-zeroJul 2022View details →
zenodo36/100

Global offshore wind turbine analysis with Sentinel-1 - supplementary data

<p>Gloabl offshore wind turbine analysis with Sentinel-1 - supplementary data</p> <p>The files are supplementary data of the publication:</p> <p>Global dynamics of the offshore wind energy sector monitored with Sentinel-1: Turbine count, installed capacity and site specifications</p> <p>which is currently under review in the International Journal of Applied Earth Observation and Geoinformation</p> <p>supplementary_data_B_OWT_height_capacity.csv holds 50 pairs of offshore wind turbine hub heights and the corresponding installed capacities along with the offshore wind farm project name, the number of turbines of this wind farm, and the source the information originates from.</p> <p>supplementary_data_B_DeepOWT_1_21_2_plus.geojson is the extended version of the DeepOWT data set (https://zenodo.org/record/5933967) with all of the derived attributes in the respective publication e.g. OWT hub height and installed capacity.</p>

opencc-by-4.0Jul 2022View details →
zenodo36/100

Supplemental Material to Journal Article "Determination of as-built properties of fiber reinforced polymers in a wind turbine blade using scanning electron and high-resolution X-ray microscopy"

<p>This set supplements the figure data to the article &quot;Determination of as-built properties of fiber reinforced polymers in a wind turbine blade using scanning electron and high-resolution X-ray microscopy&quot;, DOI: <a href="https://doi.org/10.1016/j.jcomc.2022.100310">https://doi.org/10.1016/j.jcomc.2022.100310</a></p>

opencc-by-4.0Jul 2022View details →
zenodo36/100

Large-eddy simulation of yawed wind-turbine wakes: comparisons with wind tunnel measurements and analytical wake models

<p>Dataset of the paper &quot;Large-eddy simulation of yawed wind-turbine wakes: comparisons with wind tunnel measurements and analytical wake models&quot; published on Energies [1].</p> <p>[1] Lin, M., &amp; Port&eacute;-Agel, F. (2019). Large-eddy simulation of yawed wind-turbine wakes: comparisons with wind tunnel measurements and analytical wake models.&nbsp;<em>Energies</em>,&nbsp;<em>12</em>(23), 4574.</p>

opencc-by-4.0Nov 2019View details →
zenodo36/100

Vansteenkiste Scutching Turbine - Texture

Reverse Engineering of a scutching turbine - a heritage collection top piece of Flanders that can be found at Texture, museum about Lys and Flax. The CAD model was made by TEN (The Engineering Network) during the Flemish heritage project "Duiken in de Machine" Source: Objaverse 1.0 / Sketchfab

opencc-by-sa-2.5Oct 2015View details →
zenodo36/100

Datasets used in the Paper of "Analysis of leading edge protection application on wind turbine performance through energy and power decomposition approaches"

<p>These are the datasets used in the <em>Wind Energy</em> paper "Analysis of leading edge protection application on wind turbine performance through energy and power decomposition approaches."&nbsp; The paper can be accessed <a href="https://onlinelibrary.wiley.com/doi/10.1002/we.2722">here</a>.&nbsp; The computer code used to produce the results in the paper can be found <a href="../records/6321157">here</a>.</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Hovione Wind Turbine: bird survey datasets, March 2023 - March 2024

<p>Bird surveys carried out to inform the Environmental Impact Assessment Report and Natura Impact Statement for a proosed wind turbine at the Hovione Cork site, Ringaskiddy, Co. Cork, Ireland</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Data-driven surrogate model for wind turbine damage equivalent load

<p>There are four zip files in this data set:</p> <ul> <li>PythonCode_OpenFAST: The code used to generate 32768 OpenFAST fst files to build the database.</li> <li>ML_TrainingCode: The code that used to train the TCN-FCNN and FCNN models for both free stream and wake</li> <li>Trained_Models: All the trained models are saved in Keras format. The models with max in their filenames were trained on maximum values. The models with XY in their naming were trained on wind in the X and Y directions.</li> <li>data: It includes all the CSV files for training and testing.</li> </ul>

opencc-by-4.0Jun 2024View details →
zenodo36/100

Hovione Wind Turbine: bird survey datasets, summer 2024

<p>Bird surveys carried out to supplement the Environmental Impact Assessment Report and Natura Impact Statement for a proposed wind turbine at the Hovione Cork site, Ringaskiddy, Co. Cork, Ireland</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

The influence of waves on morphodynamic impacts of energy extraction at a tidal stream turbine site in the Pentland Firth: MIKE3 HD result files

<p>This dataset consists of the MIKE3 HD result files from simulations conducted for the paper &#39;The influence of waves on morphodynamic impacts of energy extraction at a tidal stream turbine site in the Pentland Firth&#39; ( <a href="https://doi.org/10.1016/j.renene.2018.02.035">https://doi.org/10.1016/j.renene.2018.02.035</a> )</p> <p>Sets of 2D area result files are provided for sediment transport results (ST in file name), hydrodynamic results (HD in file name) and spectral wave results (SW in file name) in different datasets. This dataset contains HD files.</p> <p>Each file name provides details of the resuls contained: time of simulation (Jan or Jun); presence (Turb) or abscence (NoTurb) of tidal stream turbines in the simulations; and inclusion of waves in the simulations (tideAndWave or tide_only).</p> <p>Details of the methodology are given in the above paper. Please reference the paper in any use of these results.</p>

opencc-by-4.0Mar 2018View details →
zenodo36/100

Wind tunnel experiments on wind turbine wakes in yaw

<p>This data set contains Laser Doppler Anemometer measurements in the wake behind two different model wind turbines, recorded in a wind tunnel campain at the NTNU in Trondheim. Full plane wake data were recorded, with a focus on the effect of yaw misalignment and inflow turbulence. Please refer to the documentation document for more information.</p>

opencc-by-nc-4.0Mar 2018View details →
zenodo36/100

Supplemental Material to Journal Article "Tunneling Crack Initiation in Trailing-Edge Bond Lines of Wind-Turbine Blades"

<p>This set supplements the figure data to the article &quot;Tunneling Crack Initiation in Trailing-Edge Bond Lines of Wind-Turbine Blades&quot;, DOI: <a href="http://doi.org/10.2514/1.J058179">10.2514/1.J058179</a>.</p>

opencc-by-4.0Jun 2019View details →
zenodo36/100

Supplemental Material to Article "Development of thermal residual stresses during manufacture of wind turbine blades"

<p>This set supplements the figure data to the article &quot;Development of thermal residual stresses during manufacture of wind turbine blades&quot;, DOI: .</p>

opencc-by-4.0Oct 2019View details →

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Last verified 2026-04-30Open record

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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

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openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record