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95 results for “Wind energy”
Risk Assessment for Insects of Concern Based on Wind Energy Potential
<p>Zip includes species distribution model rasters created by me as well as R code to create risk assessment. Inclusion layers were provided by the authors of https://doi.org/10.1016/j.energy.2021.120044 to use as part of my study.</p>
Large-eddy simulation of airborne wind energy farms: AWES virtual flight data
<p>Large-eddy simulation of airborne wind energy farms: AWES virtual flight data.</p> <p>This dataset contains virtual flight data collected from individual systems in airborne wind energy parks obtained by means of large-eddy simulations. All data are stored as Python dictionary objects in the Pickle format. Additional Python scripts are provided to visualize the data. </p> <p> </p>
Dataset for analysis of the value of energy for wave, wind and solar power
<p>Data and code for: Vrana, Til Kristian, & Svendsen, Harald G. (2021). Quantifying the Market Value of Wave Power compared to Wind&Solar - a case study. The 9th Renewable Power Generation Conference - RPG Dublin Online 2021 (RPG 2021), (https://doi.org/10.1049/icp.2021.1383)</p>
Using weather radar to help minimize wind energy impacts on nocturnally migrating birds
<p>As wind energy rapidly expands worldwide, information to minimize impacts of this development on biodiversity is urgently needed. Here we demonstrate how data collected by weather radar networks can inform placement and operation of wind facilities to reduce collisions and minimize habitat-related impacts for nocturnally migrating birds. We found over a third of nocturnal migrants flew through altitudes within the rotor-swept zone surrounding the North American Great Lakes, a continentally important migration corridor. Migrating birds concentrated in terrestrial stopover habitats within 20-km from shorelines, a distance well beyond the current guidelines for construction of new land-based facilities, and their distributions varied seasonally and at local and regional scales, creating predictable opportunities to minimize impacts from wind energy development and operation. Networked radar data are available across the U.S. and other countries and broad application of this approach could provide information critical to bird-friendly expansion of this globally important energy source.</p>
Turbulent Kinetic Energy Production in a Far-Field River Plume under Upwelling-Favorable Winds
<p>Data for submitted paper "Turbulent Kinetic Energy Production in a Far-Field River Plume under Upwelling-Favorable Winds"</p>
Additional material for the Wind Energy manuscript "An engineering approach for the estimation of slewing bearing stiffness in Wind Turbine Generators"
<p>This documment compiles the additional material for the manuscript “An engineering approach for the estimation of slewing bearing stiffness in Wind Turbine Generators”. The document shows the results for all the considered design points, comparing the the proposed approach with the Finite Element model.</p>
Data for the publication "Wind farm layout optimization with alignment constraints", submitted to Wind Energy Science, 2024
<p>The data in pickle format contains the optimal layouts corresponding to the numerical applications of the paper "Wind farm layout optimization with alignment constraints" submitted in Wind Energy Science, 2024.</p>
The influence coefficients used in Wind Energy Science paper "A computationally efficient engineering aerodynamic model for swept wind turbine blades"
<p>The influence coefficients for the convective correction with full double-precision floating-point accuracy. This is the supplement for the research article: "A computationally efficient engineering aerodynamic model for swept wind turbine blades", submitted to Wind Energy Science journal.</p> <p>Code language: Fortran</p>
FIG. 4 in Bat activity rates do not predict bat fatality rates at wind energy facilities
FIG. 4. Bat activity rates measured before and after turbines were built at four wind energy facilities for high- and low-frequency bats during individual seasons. The dashed line indicates a 1:1 relationship between pre- and post-construction activity rates
FIG. 3 in Bat activity rates do not predict bat fatality rates at wind energy facilities
FIG. 3. Regression analysis for high-frequency bat activity rates (Panel A, n = 23) and low-frequency bat activity rates (Panel B, n = 24) recorded by raised microphones versus overall bat fatality rates at paired pre-construction and post-construction studies, grouped by U.S. Fish and Wildlife Service region
FIG. 2 in Bat activity rates do not predict bat fatality rates at wind energy facilities
FIG. 2. Regression analysis for overall bat activity rates recorded by ground microphones (n = 47) versus overall bat fatality rates at paired pre-construction and post-construction studies, grouped by U.S. Fish and Wildlife Service region
FIG. 1 in Bat activity rates do not predict bat fatality rates at wind energy facilities
FIG. 1. The number of paired pre-construction bat activity and post-construction bat fatality studies (first number) and paired post-construction bat activity and post-construction bat fatality studies (second number) used for regression analyses, organized by U.S. Fish and Wildlife Service region. The Mountain-Prairie region includes five studies from southern Alberta, Canada
Data from: A bridge between oceans: Overland migration of marine birds in a wind energy corridor
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Data from: Year-round spatiotemporal distribution of harbour porpoises within and around the Maryland wind energy area
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Using weather radar to help minimize wind energy impacts on nocturnally migrating birds
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From dusk till dawn: Ecoacoustic monitoring reveals wind energy impacts on roding Eurasian woodcock (Scolopax rusticola)
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Data from: Geographic origins and population genetics of bats killed at wind-energy facilities
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A use-case-driven approach for demonstrating the added value of digitalisation in wind energy - extended version of Table 1
<p>This is the extended version of Table 1 from the paper "A use-case-driven approach for demonstrating the added value of digitalisation in wind energy" published in the Journal of Physics: Conference Series for WindEurope 2023.</p> <p>Digitalisation is one of the key drivers for reducing the costs and risks of wind energy. When considering whether to embark on a digitalisation initiative, two key questions arise. The first is what business or operational opportunities might feasibly be addressed and the second is which of the many potential aspects of digitalisation are relevant to those opportunities. In this work, we show how these questions can be answered with a use-case-driven approach, based around a survey aiming to collect and collate the main "pain points" (or everyday challenges) of people in the wind energy sector. Although the relatively low number of participants of the survey (46) means that the results should only be used indicatively, it is still possible to make some general recommendations for priorities for digitalisation efforts in the wind energy sector. Firstly, digitalisation efforts should focus both on supporting people carrying out cross-lifecycle tasks, in particular sharing data, managing data, undertaking general data analyses and accessing data. Tools to do this should deal with varying data formats and naming conventions, make metadata more accessible, define data and metadata standards, make more data publicly available and improve the quality of data. Secondly, efforts should also focus on supporting people in the wind farm operational phase, in particular with failure detection, fault diagnosis, failure rate modelling and predictive maintenance. Solutions to do this should focus on accessible and validated tools for fault detection, cloud or other data pipeline solutions for SCADA data and tools for exhaustive data documentation. Finally, digitalisation efforts should focus on better communicating and helping people become aware of existing solutions and tools, as well as on helping people to exert a stronger influence on possible solutions. <br> </p>
Figure 6 in One size doesn′t fit all: Singularities in bat species richness and activity patterns in wind-energy complexes in Brazil and implications for environmental assessment
Figure 6. Bat species richness recorded based on bioacoustics in four wind-energy complexes in northeastern Brazil from September 2015 to January 2017.
JRC - Raw materials demand for wind and solar PV technologies in the transition towards a decarbonised energy system - Materials demand database
<p>This dataset contains the results of the materials demand scenarios for wind and solar PV technologies developed in the following report by the European Commission's Joint Research Centre (JRC):</p> <p>Carrara S., Alves Dias P., Plazzotta B. and Pavel C., Raw materials demand for wind and solar PV technologies in the transition towards a decarbonised energy system, EUR 30095 EN, Publication Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-16225-4, doi:10.2760/160859, JRC119941</p> <p>The report can be found at the following link:</p> <p><a href="https://ec.europa.eu/jrc/en/publication/raw-materials-demand-wind-and-solar-pv-technologies-transition-towards-decarbonised-energy-system">https://ec.europa.eu/jrc/en/publication/raw-materials-demand-wind-and-solar-pv-technologies-transition-towards-decarbonised-energy-system</a></p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.