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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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A case study of wind farm effects using two wake parameterizations in WRF (V3.7) in the presence of low level jets

Research datakeyboard_double_arrow_right Dataset 26 Oct 2020Publisher:Zenodo
Authors: Larsén, Xiaoli Guo; Fischereit, Jana;

doi: 10.5281/zenodo.4133350 , 10.5281/zenodo.4322866 , 10.5281/zenodo.4308990

A case study of wind farm effects using two wake parameterizations in WRF (V3.7) in the presence of low level jets

Abstract

This repository contains necessary files for reproducing the simulations using WRF in Larsén and Fischereit (2020) - all included in the zipped file. The first group of files are the Namelists, which include the following files namelist.wps. namelist.input.NWF for simulations with no farms namelist.input.Fitch for simulations with farms using the default Fitch scheme for farm wakes namelist.input.EWP for simulations with farms using the EWP scheme for farm wakes The second group of files are the turbine files that need to be specified when simulating the farm wakes. In connection with Fitch scheme, the files are Windturbines.txt and Wind-turbine-*.tbl. In connection with EWP scheme, the files are *.turbine and all_farms_corr_2017.real. The turbine files are downloaded from https://www.wasp.dk/dataandtools#power-curves Finally, the geo_em.d0*.nc files and the table files for running WRF (Vtable.ERA5, METGRID.TBL, VEGPARM.TBL, LANDUSE.TBL, MPTABLE.TBL).

This study is supported by the Danish ForskEL/EUDP project "Large Scale Offshore Wake Impact on Danish Power System" (PSO-12521, EUDP 64017-0017)

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Keywords

WRF, wind farm wake, turbines, EWP, Fitch

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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