@article{bb291a1101204f48aa73da829909a64a,
title = "Lidars for Wind Tunnels: An IRPWind Joint Experiment Project",
abstract = "Measurement campaigns with continuous-wave Doppler Lidars (Light detection and ranging) developed at DTU Wind Energy in Denmark were performed in two very different wind tunnels. Firstly, a measurement campaign in a small icing wind tunnel chamber at VTT in Finland was performed with high frequency measurements for increasing the understanding of the effect of in-cloud icing conditions on Lidar signal dynamics. Secondly, a measurement campaign in the relatively large boundary-layer wind tunnel at NTNU in Norway was performed in the wake of a scaled test turbine in the same configuration as previously used in blind test comparisons for wind turbine wake modelers. These Lidar measurement activities constitute the Joint Experiment Project{"} L4WT-Lidars for Wind Tunnels, with applications to wakes and atmospheric icing in a prospective Nordic Network{"} with the aim of gaining and sharing knowledge about possibilities and limitations with lidar instrumentation in wind tunnels, which was funded by the IRPWind project within the community of the European Energy Research Alliance (EERA) Joint Programme on Wind Energy.",
keywords = "blind test, icing Conditions, lidar, lidic, wind tunnel, wind turbine wake",
author = "Mikael Sj{\"o}holm and Andrea Vignaroli and Nikolas Angelou and {Busk Nielsen}, Morten and Jakob Mann and Torben Mikkelsen and Bolstad, {Hans Christian} and Merz, {Karl Otto} and S{\ae}tran, {Lars Roar} and M{\"u}hle, {Franz Volker} and Mikko Tiihonen and Ville Lehtom{\"a}ki",
note = "Funding Information: Measurement campaigns with continuous-wave Doppler Lidars (Light detection and ranging) developed at DTU Wind Energy Measurement campaigns with continuous-wave Doppler Lidars (Light detection and ranging) developed at DTU Wind Energy inADbsetnrmacatrk were performed in two very different wind tunnels. Firstly, a measurement campaign in a small icing wind tunnel in Denmark were performed in two very different wind tunnels. Firstly, a measurement campaign in a small icing wind tunnel chamber at VTT in Finland was performed with high frequency measurements for increasing the understanding of the effect of chamber at VTT in Finland was performed with high frequency measurements for increasing the understanding of the effect of inD-cislotruicdt ihceinagtincgonndeitwioonrsksonarLeidcaormsmigonnallydyadndamreiscsse.d Sinectohnedlyit,earatmureeasausreomneentofcatmhepamigonstineftfheectirveelatsiovleulytiolnarsgefobroduencdraerays-inlagy etrhe in-cloud icing conditions on Lidar signal dynamics. Secondly, a measurement campaign in the relatively large boundary-layer wind tunnel at NTNU in Norway was performed in the wake of a scaled test turbine in the same configuration as previously used wind tunnel at NTNU in Norway was performed in the wake of a scaled test turbine in the same configuration as previously used in blind test comparisons for wind turbine wake modelers. These Lidar measurement activities constitute the Joint Experiment in blind test comparisons for wind turbine wake modelers. These Lidar measurement activities constitute the Joint Experiment Project ”L4WT - Lidars for Wind Tunnels, with applications to wakes and atmospheric icing in a prospective Nordic Network” Project ”L4WT - Lidars for Wind Tunnels, with applications to wakes and atmospheric icing in a prospective Nordic Network” with the aim of gaining and sharing knowledge about possibilities and limitations with lidar instrumentation in wind tunnels, which with the aim of gaining and sharing knowledge about possibilities and limitations with lidar instrumentation in wind tunnels, which was funded by the IRPWind project within the community of the European Energy Research Alliance (EERA) Joint Programme was funded by the IRPWind project within the community of the European Energy Research Alliance (EERA) Joint Programme onbuiWldiinngsd Enerthagtyv.ary in both construction period and typology. Three weather scenarios (low, medium, high) and three district on Wind Energy. {\textcopyright}cre2016novatTheion sAuthors.cenariosPublishedwere devebylopeEld (ssevihaerlLtd.low, intermediate, deep). To estimate the error, obtained heat demand values were {\textcopyright}c 2016 The Authors. Published by Elsevier Ltd. {\textcopyright} 2017 The Authors. Published by Elsevier Ltd. Peercom-rpaevreied ww underith resresponsibilityults from a dynaof SINTEFmic heatEnerdemagind mAS.odel, previously developed and validated by the authors. Peer--rreevviieeww uunnddeerr rreessppoonnssiibbiilliittyy ooff SSIINNTTEEFF EEnneerrggii AASS.. The results showed that when only weather change is considered, the margin of error could be acceptable for some applications Keywords: Lidar; Lidic; WindScanner; Wind Tunnel; Icing Conditions; Wind Turbine Wake; Blind test K(teyhewoerrrods:r iLidar;n annLidic;ual deWmiannd wdScananserl;owWienr td Thaunnne20l; % for aIcing Conditions;ll weathWer sindceTnaurribiosne Wconakse;ideBlindred).testHowever, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). Publisher Copyright: {\textcopyright} 2017 The Author(s).; 14th Deep Sea Offshore Wind R and D Conference, EERA DeepWind 2017, EERA DeepWind 2017 ; Conference date: 18-01-2017 Through 20-01-2017",
year = "2017",
month = jan,
day = "1",
doi = "10.1016/j.egypro.2017.10.358",
language = "English",
volume = "137",
pages = "339--345",
journal = "Energy Procedia",
issn = "1876-6102",
publisher = "Elsevier",
}
