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78 results for “Wind farms”
Data from: Three dimensional tracking of a wide-ranging marine predator: flight heights and vulnerability to offshore wind farms
A large increase in offshore wind turbine capacity is anticipated within the next decade, raising concerns about possible adverse impacts on birds as a result of collision risk. Birds' flight heights greatly influence this risk, yet height estimates are currently available only using methods such as radar- or ship-based observations over limited areas. Bird-borne data-loggers have the potential to provide improved estimates of collision risk and here, we used data from Global Position System (GPS)-loggers and barometric pressure loggers to track the three-dimensional movements of northern gannets rearing chicks at a large colony in south-east Scotland (Bass Rock), located <50 km from several major wind farm developments with recent planning consent. We estimated the foraging ranges and densities of birds at sea, their flight heights during different activities and the spatial variation in height during trips. We then used these data in collision-risk models to explore how the use of different methods to determine flight height affects the predicted risk of birds colliding with turbines. Gannets foraged in and around planned wind farm sites. The probability of flying at collision-risk height was low during commuting between colonies and foraging areas (median height 12 m) but was greater during periods of active foraging (median height 27 m), and we estimated that ˜1500 breeding adults from Bass Rock could be killed by collision with wind turbines at two planned sites in the Firth of Forth region each year. This is up to 12 times greater than the potential mortality predicted using other available flight-height estimates. Synthesis and applications: The use of conventional flight-height estimation techniques resulted in large underestimates of the numbers of birds at risk of colliding with wind turbines. Hence, we recommend using GPS and barometric tracking to derive activity-specific and spatially explicit flight heights and collision risks. Our predictions of potential mortality approached levels at which long-term population viability could be threatened, highlighting a need for further data to refine estimates of collision risks and sustainable mortality thresholds. We also advocate raising the minimum permitted clearance of turbine blades at sites with high potential collision risk from 22 to 30 m above sea level.
Data from: Wind farms affect the occurrence, abundance and population trends of small passerine birds: the case of the Dupont's lark
1.The assessment of the effects of wind farms on bird populations is commonly based on collision fatality records. This could undervalue the effect of wind farms on small-sized birds. We evaluate the effect of wind turbines on occurrence, abundance and population trends of a threatened small passerine species, the Dupont's lark Chersophilus duponti. To our knowledge, this is one of the first studies addressing the effect of wind farms on population trends using time series data from multiple wind farms. 2.We estimated population trends by fitting a switching linear trend model with the software TRIM (Trend & Indices for Monitoring data). We used multiannual data surveys of five populations in the presence of wind farms and nine in their absence (2008–2016 period). Furthermore, we fitted a logistic and a negative binomial regression model to test the effect of wind farm proximity on species occurrence and abundance in 2016, respectively. We incorporated local connectivity and habitat availability estimates in both models as predictors. 3.Results showed a negative trend overall, but that was significantly more regressive in the presence of wind farms: 21.0% versus 5.8% average annual decline in the absence of wind farms. 4.Dupont's lark occurrence and abundance in 2016 were negatively affected by measures of population isolation and positively affected by the distance to wind farms. 5.These results highlight the negative effect of isolation and wind farm proximity on Dupont's lark population parameters. Taking into account the metapopulation structure exhibited by the species in the study area, this work established a 4.5 km threshold distance from wind farms, beyond which Dupont's lark populations should be unaffected. 6.Synthesis and applications. This work highlights the negative impact of wind farms on small-sized birds and provides a 4.5 km threshold distance that should be taken into account in the design of future wind energy projects. Moreover, we suggest an analytical approach based on population trends, species abundance and occurrence variation in relation to wind farms, useful for the assessment of wind farm impacts on small-sized birds.
Offshore wind farms low-trophic aquaculture multi-use potential: Figure data
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Multiscale large-eddy simulations of a low-level jet interacting with a wind farm and terrain (vertical slices of potential temperature)
<p>Multiscale large-eddy simulations of a low-level jet interacting with a wind farm and terrain (vertical slices of potential temperature) using the WRF-LES-GAD approach. Supplementary material part of the paper "Influence of simple terrain on the spatial variability of a low-level jet and wind farm performance in the AWAKEN field campaign", submitted to the Wind Energy Science journal.</p>
Multiscale large-eddy simulations of a low-level jet interacting with a wind farm and terrain (vertical slices of wind speed)
<p>Multiscale large-eddy simulations of a low-level jet interacting with a wind farm and terrain (vertical slices of wind speed) using the WRF-LES-GAD approach. Supplementary material part of the paper "Influence of simple terrain on the spatial variability of a low-level jet and wind farm performance in the AWAKEN field campaign", submitted to the Wind Energy Science journal.</p>
Multiscale large-eddy simulations of a low-level jet interacting with a wind farm and terrain (wind speed at 90 m AGL)
<p>Multiscale large-eddy simulations of a low-level jet interacting with a wind farm and terrain (wind speed at 90 m AGL) using the WRF-LES-GAD approach. Supplementary material part of the paper "Influence of simple terrain on the spatial variability of a low-level jet and wind farm performance in the AWAKEN field campaign", submitted to the Wind Energy Science journal.</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>
A one-year-long evaluation of a wind-farm parameterisation in HARMONIE-AROME -- Model data
<p>This file contains supporting data for the manuscript "A one-year-long evaluation of a wind-farm parameterisation in HARMONIE-AROME" by van Stratum et al. 2022 in JAMES. </p> <p>- model_output: contains NetCDF files with HARMONIE-AROME for specific columns for the lidar locations, only for the WIPAFF flight comparison the full 3D hourly fields are given for one day. Files containing "DOWA_40h12tg2_fERA5_ptE" are the reference simulations and files containing "DOWA_40h12tg2_fERA5_WF2019_fix" are output from the wind farm parameterisation simulations. <br> - input_HARMONIE_WFP: contains the input files used for the wind farm parameterisation, where wind_turbine_coordinates.tab contains the locations of all wind turbines and the turbine type, and wind_turbine_0XX.tab the cp/ct curves, radius and hub height for each turbine type. </p> <p>The measurements used in the manuscript are from various external sources and should be downloaded separately.</p>
Large-eddy simulation of an atmospheric bore and associated gravity wave effects on wind farm performance in the Southern Great Plains
<p>Animations from weather radars (observations) and simulations (modeling) of an atmospheric bore and associated gravity waves during the AWAKEN field campaign from a case study on 06 June 2023. The first animation is reflectivity from the NEXRAD WSR-88D system at the Oklahoma City radar site (KTLX) operated by the National Weather Service. The second animation is wind speed at 95, 145, and 270 m agl from the Texas Tech X-Band radars at the AWAKEN site. The third and fourth animations are for simulation results using the Weather Research and Forecasting model (WRF) with two domains. The third animation is vertical velocity at 1 km agl and potential temperature at 200 m agl on domain d01, which has a horizontal grid spacing of 300 m. The fourth animation is hub-height wind speed and perturbation pressure along with simulated power output for 3 wind turbines in each of the four rows on domain d01, which has a horizontal grid spacing of 20 m. The wind turbines are NREL 2.8 MW turbines parameterized using a generalized actuator disk. </p> <p>These animations are included as supplementary material for the manuscript "Large-eddy simulation of an atmospheric bore and associated gravity wave effects on wind farm performance in the Southern Great Plains" submitted to <em>Wind Energy Science</em>. </p>
What Can Generative Modelling Do for Interpolation of Extremely Sparse Wind Farm Seismic Data
<p>2024 Global energy transition abstract about diffusion model data interpolation. </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>
A gravity current flows over a wind farm in complex terrain
<p>A gravity current simulated with the Weather Research and Forecasting model flows over topography where a wind farm is located. It produces a nocturnal jet and downstream flow acceleration that enhances the performances of turbines in the back rows. This simulation is related to case 3 (transect 3) of the paper <em>Nocturnal jets over wind farms in complex terrain </em>that will be submitted to <em>Applied Energy.</em></p>
Data from: Hierarchical power control of a large-scale wind farm by using a data-driven optimization method
<p><span>With the participation in automatic generation control (AGC), a large-scale wind farm should distribute the real-time AGC signal to numerous wind turbines (WTs). This easily leads to an expensive computation for a high-quality dispatch scheme, especially considering the wake effect among WTs. To address this problem, a hierarchical power control (HPC) is constructed based on the geographical layout and electrical connection of all the WTs. Firstly, the real-time AGC signal of the whole wind farm is distributed to multiple decoupled groups in proportion of their regulation capacities. Secondly, the AGC signal of each group is distributed to multiple WTs via the data-driven surrogate-assisted optimization, which can dramatically reduce the computation time with a small number of time-consuming objective evaluations. Besides, a high-quality dispatch scheme can be acquired by the efficient local search based on the dynamic surrogate. The effectiveness of the proposed technique is thoroughly verified with different AGC signals under different wind speeds and directions.</span></p>
Data set used in article: Model Predictive Control for Wake Redirection in Wind Farms: a Koopman Dynamic Mode Decomposition Approach
<p>Step-wise yaw deflection in 2 wind turbines in SOWFA. More information in the article.</p>
Data from: Three dimensional tracking of a wide-ranging marine predator: flight heights and vulnerability to offshore wind farms
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Data from: Patterns of migrating soaring migrants indicate attraction to marine wind farms
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Data from: Out of sight of wind turbines – reindeer response to wind farms in operation
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Data from: Hierarchical power control of a large-scale wind farm by using a data-driven optimization method
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Data from: Sound exposure in harbour seals during the installation of an offshore wind farm: predictions of auditory damage
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Data from: Bird and bat species' global vulnerability to collision mortality at wind farms revealed through a trait-based assessment
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International Brain Laboratory public data
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