Replication Data for: Spatial development of planar and axisymmetric wakes of porous objects under a pressure gradient: a wind tunnel study

DOI

This dataset concerns pressure sensor datasets about the spatial evolution of a turbulent wake in the subsonic S620 wind tunnel of ISAE-ENSMA in Poitiers, France. The details about the experimental setup are given in the associated publication.

A porous disk, designed to mimic the wake of a horizontal axis wind turbine, and a porous cylinder, whose wake matches that of a vertical axis wind turbine, were tested in a wind tunnel for Reynolds numbers (based on the generator diameter) in the range of 2.6 x 10^5 to 3.9 x 10^5. Experiments were conducted between 1 and 7 diameters downstream of the disk and from 2 to 12 diameters downstream of the cylinder. The data covers horizontal profiles made for several streamwise distances.

The file ReadMe.txt explains the organisation and how the data can be read using an associated python script. All data concerns pressure sensors, that were operated with a nominal temporal resolution of 1kHz and have a resolution of 0.05%.

Identifier
DOI https://doi.org/10.57745/NJ15IR
Related Identifier IsCitedBy https://doi.org/10.5194/wes-2024-116
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/NJ15IR
Provenance
Creator Obligado, Martin; Sicot, Christophe; van der Deijl, Wessel; Barre, Stéphane
Publisher Recherche Data Gouv
Contributor Obligado, Martin; Sicot, Christophe; Centre national de la recherche scientifique; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2025
Funding Reference European Union’s Horizon H2020 860579
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Obligado, Martin (Univ. Lille, CNRS, ONERA, Arts et Métiers ParisTech, Centrale Lille, UMR 9014 –LMFL – Laboratoire de Mécanique des Fluides de Lille – Kampé de Feriet, Lille, F-59000, France); Sicot, Christophe (Institut Pprime - UPR 3346, CNRS-ENSMA-Université de Poitiers, Futuroscope-Chasseneuil, 86360, France)
Representation
Resource Type Dataset
Format text/plain; text/x-python-script; text/tab-separated-values
Size 14898063; 15464294; 13991966; 3422078; 3092037; 3107653; 13302457; 13905556; 14160730; 23395878; 34946069; 18914711; 24527207; 13730897; 16162387; 16634915; 16523516; 26196505; 14699860; 21362216; 13143552; 15179032; 13192791; 20704538; 3593760; 3438503; 4041125; 18733544; 11822465; 17255673; 22655641; 21177533; 31028687; 16614527; 35181889; 14592456; 15539048; 9041613; 31541188; 21119882; 22204138; 13316437; 16633041; 20681537; 3167671; 3252360; 5255026; 12556823; 19676605; 16889894; 16475110; 14876817; 12237804; 12419171; 11202527; 11156975; 14872409; 15526755; 13303674; 16471199; 15290400; 15974302; 21027702; 13976707; 13380664; 16323297; 23371143; 12251776; 13453922; 11923436; 12171862; 12006219; 17061014; 13293269; 15860080; 17180037; 14323394; 17179165; 12305938; 24838925; 17718404; 11549770; 10432108; 12212214; 10514939; 11425571; 10349266; 10059313; 16020854; 12377574; 10970074; 12874451; 11715447; 10556239; 14530402; 12170655; 11633771; 11343868; 17272067; 17253257; 14227805; 12635899; 15039202; 14708351; 17019132; 13456135; 9883887; 28530543; 14948526; 13458080; 13412706; 12129807; 12957286; 23679964; 16600788; 14696075; 17678188; 11757699; 11343925; 13909489; 9728488; 11384265; 11011572; 14778731; 12460481; 20449228; 14282013; 11839527; 13660953; 12667523; 12833105; 10846274; 11632503; 14753330; 17896345; 18123719; 23260651; 19014787; 21582462; 16693843; 16439905; 19764812; 13409076; 13852121; 14948601; 15403728; 16145291; 18049508; 17095586; 17770446; 13951371; 16973227; 11094308; 11715368; 13081481; 11135755; 11549996; 11715434; 13246766; 12998771; 13288507; 11177080; 13867949; 11715241; 11673979; 11467484; 7289; 1519; 71079; 12378587; 11798273; 12708799; 11962124; 13453092; 15894443; 14611082; 16535048; 13537161; 11963202; 16061277; 13492014; 12873596; 16598730; 12169778; 20985739; 15026169; 12831660; 14735058; 13764373; 10973548; 13662625; 13951827; 15614875; 13287938; 11465836; 15563983; 14051722; 13785172; 12707919; 13784778; 13120176; 12046297; 15647266; 11755909; 12287442; 13038987; 13659420; 16928570; 13473763; 14334093; 13046448; 13210255; 12765428; 11798234; 24795308; 15398937; 18348407; 18340164; 16889850; 11011570; 15004843; 17427863; 12418545; 12873739; 13809269; 12459883; 13535647; 14156062; 20060249; 14037456; 14201732; 12646897; 11671982; 14279405; 17010557; 12139951; 15896331; 14446433; 13136604; 13618586; 15605267; 15190463; 19639648; 16267998; 12997187; 18582687; 12733883; 12345416; 13628002; 13502471; 9743315; 16390208; 14817258; 12996162; 12791751; 15150877; 16019407; 24379184; 18078545; 21772181; 12707014; 13327569; 18352759; 15728815; 12995523; 18548928; 15192491; 13660552; 15167361; 15399854; 15234071; 11963547; 13082766; 15647560; 16475481; 16185884; 14950049; 22271302; 15068375; 17096902; 17222318; 16848235; 13743710; 16848410; 16310408; 15898930; 15898275; 12171546; 14057637; 14778428; 14240570; 13412561; 11757797; 17221284; 15896426; 16641552; 11552671; 17593429; 14074721; 14530224; 13702922; 15399402; 11549698; 13495217; 19539435; 17636839; 15070183; 16394257; 14711651; 15109798; 18835610; 14323068; 13289722; 12957339; 13826526; 14902867; 17060850; 13743716; 15565057; 12999233; 10721856; 13412541; 17303919; 12750104; 15027133; 15854845; 18613067; 13761880; 13495233; 12170544; 14695736; 13954694; 14488347; 13702012; 17303409; 15692360; 11922210; 13164055; 13950718; 12833556; 17013910; 14778567; 14778561; 13288509; 15730639; 14364965; 16476100; 15698577; 14199080; 13661056; 19042425; 14035328; 14198971; 12750195; 16434233; 14786129; 19828975; 16848374; 16600086; 11756991; 16848415; 13205384; 19208187
Version 2.0
Discipline Engineering Sciences; Construction Engineering and Architecture; Engineering