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        <identifier>oai:figshare.com:article/33981367</identifier>
        <datestamp>2026-10-01T14:49:45Z</datestamp>
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          <dc:title>Simulation Results for 'Development of the Wake of a Multi-Gigawatt Wind Farm under Partially and Fully Waked Turbine Operation in Conventionally-Neutral Conditions'</dc:title>
          <dc:creator>Mina Ghobrial (20646653)</dc:creator>
          <dc:creator>Tim Stallard (20646666)</dc:creator>
          <dc:creator>Pablo Ouro (15572477)</dc:creator>
          <dc:subject>Geophysical and environmental fluid flows</dc:subject>
          <dc:subject>Environmental engineering not elsewhere classified</dc:subject>
          <dc:subject>Atmospheric flows</dc:subject>
          <dc:subject>Turbulent Boundary Layers</dc:subject>
          <dc:subject>Multi-GW Wind Farms</dc:subject>
          <dc:subject>Wind-Farm Flow</dc:subject>
          <dc:subject>Wind-Farm Wakes</dc:subject>
          <dc:subject>large-eddy simulations (LES)</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This repository contains simulation data and post-processing scripts for a study of the wake of a multi-gigawatt wind farm in a conventionally neutral atmospheric boundary layer. Large-eddy simulations compare two layouts of the same 256-turbine farm: an oblique layout in which turbines experience a mixture of unwaked, partially waked and combined-wake conditions, and an aligned layout in which most downstream turbines are fully waked. The data support analyses of turbine performance, atmospheric flow, wake development and wake recovery.&lt;/p&gt;&lt;p dir="ltr"&gt;The 1_Precursor ABL Flow folder contains .dat files with vertical profiles of mean flow averaged over successive one-hour periods, showing how the precursor flow develops. It also includes precursor.py, which generates the flow field averaged over the final 15 hours of the simulation, approximately one inertial-oscillation period.&lt;/p&gt;&lt;p dir="ltr"&gt;The 2_Wind-Farm Flow folder contains separate results in 2_1_Oblique Farm and 2_2_Aligned Farm. Each layout has the following data folders:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;2_1_0_Turbine_Data and 2_2_0_Turbine_Data contain time histories of turbine disc-averaged velocity, yaw angle, thrust and power.&lt;/li&gt;&lt;li&gt;2_1_1_Averaged_Profiles and 2_2_1_Averaged_Profiles contain streamwise variations of wind speed, turbulent kinetic energy and shear averaged over the farm’s lateral and vertical extents, together with vertical variations of flow quantities averaged over the farm footprint.&lt;/li&gt;&lt;li&gt;2_1_2_X Planes, 2_1_3_Y Planes, 2_1_4_Z Planes, 2_2_2_X Planes, 2_2_3_Y Planes and 2_2_4_Z Planes contain two-dimensional flow fields at selected streamwise, lateral and vertical locations for visualisation and analysis.&lt;/li&gt;&lt;li&gt;2_1_5_Wake and 2_2_5_Wake contain .npy arrays of wake metrics as a function of streamwise position and .dat files containing streamwise variations of wake-budget terms.&lt;/li&gt;&lt;/ul&gt;&lt;p dir="ltr"&gt;The 2_Wind-Farm Flow folder also includes the Python scripts used to post-process the flow data and generate figures. Each script briefly describes its functions and the data it processes.&lt;/p&gt;&lt;p dir="ltr"&gt;Full details of the numerical setup are provided in: Ghobrial M, Stallard T, Ouro P (2026), Development of the Wake of a Multi-Gigawatt Wind Farm under Partially and Fully Waked Turbine Operation in Conventionally-Neutral Conditions.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-01T14:49:45Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.48420/33981367.v1</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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