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Supporting WRF dataset for the article "Simulating wake losses of the Danish Energy Island wind farm cluster"

dataset
posted on 2023-06-14, 06:53 authored by Oscar M. Garcia-SantiagoOscar M. Garcia-Santiago

This dataset contains model outputs and necessary files to replicate the simulations from the article "Simulating wake losses of the Danish Energy Island wind farm cluster" (https://doi.org/10.1088/1742-6596/2505/1/012015)


The modelling uses the Weather research and forecasting (WRF; https://github.com/wrf-model/WRF ) model using a wind farm parametrisation (EWP, https://doi.org/10.5194/gmd-8-3715-2015 ). Two modelling approaches are used: an ideal isolated case (one specific wind direction and wind speed) and real cases (two grid spacing) that cover the simulation of a full year (2016). The simulation aimed to compare methodologies for modelling very large offshore clusters and calculate their Anual Energy Production. 


Input files

To perform the simulations with WRF, input files are attached as zip files for real (modelfiles_real_*km) and ideal (modelfiles_ideal_1km) simulations. This zip file contains the namelist.input*, namelist.wps, and input_souding necessary to run the models on both modes and for the specified grid spacing (1 or 2 kilometres). For the real simulations, boundary conditions (ERA5 reanalysis) are needed and can be downloaded from  ftp://ftp.ecmwf.int/pub/wrf. For ideal, the input_soundig file is the only requirement.


The files EnergyO.ideal, EnergyO.real, and GEN-15-236.turbine are provided to simulate the wind farms. The cluster comprises ten wind farms with 1 GW capacity. Each wind farm is simulated with 67 15 MW wind turbines. EnergyO.ideal, EnergyO.real are the locations for the ideal and real cases, respectively, and the thrust and power curves are given in GEN-15-236.turbine.


Model outputs files


The model's output is in NetCDF format (*.nc) and contains the wind speed ("WS") field and the power production (''POWER") generated by the wind farms. Quantities are expressed as temporal averages over 1 hour and 1 year (2016) for the ideal and real cases, respectively.




Funding

EU H2020 Marie Curie Train2Wind project no. 861291

Training school on entrainment in offshore wind power

European Commission

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History

Location

56.4/6.3

Date

2016-01-01 to 2016-12-31

Topic

  • Wind power plant;>Wind farm;>Wakes
  • Siting;>Design conditions;>Other

Models

  • Meteorological;>Mesoscale

Activities

  • Modeling

External conditions

  • Location;>Offshore;>Offshore

Data category

  • Meteorological data
  • Wind farm data

ORCID for corresponding depositor

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    DTU Wind

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