000085423 001__ 85423
000085423 005__ 20200716101548.0
000085423 0247_ $$2doi$$a10.1088/1742-6596/1356/1/012043
000085423 0248_ $$2sideral$$a114478
000085423 037__ $$aART-2019-114478
000085423 041__ $$aeng
000085423 100__ $$0(orcid)0000-0002-3698-6284$$aGonzález, E.
000085423 245__ $$aOn the effects of environmental conditions on wind turbine performance: an offshore case study
000085423 260__ $$c2019
000085423 5060_ $$aAccess copy available to the general public$$fUnrestricted
000085423 5203_ $$aMonitoring wind turbine (WT) performance offers a means of identifying abnormal operation, but only if natural disturbances of the operating regime change can be excluded. WT performance monitoring usually relies on the analysis of operational power curves, generally based on data from the supervision control and data acquisition system. However, these curves do not reflect the source of variability, negatively affecting the capabilities for detecting WT abnormal performance. This work aims at understanding and quantifying changes in WT performance variability due to different environmental conditions during normal and wake-free operating conditions, based on an offshore case study. The magnitude of performance fluctuations is highly influenced by environmental conditions, being higher during high turbulence intensity and low wind shear conditions. The Taylor law, with small time windows, is suitable to describe them for low-mid winds in the absence of dedicated wind measurements, often not permanently available offshore, and could potentially result in more effective performance monitoring solutions. Nevertheless, the heteroskedastic nature of the power deviations negatively affects fitting possibilities. The results support the importance of using low data aggregation periods to understand the dynamics of WT performance.
000085423 536__ $$9info:eu-repo/grantAgreement/EC/H2020/642108/EU/Advanced Wind Energy Systems Operation and Maintenance Expertise/AWESOME$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 642108-AWESOME
000085423 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000085423 592__ $$a0.227$$b2019
000085423 593__ $$aPhysics and Astronomy (miscellaneous)$$c2019$$dQ3
000085423 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000085423 700__ $$aValldecabres, L.
000085423 700__ $$aSeyr, H.
000085423 700__ $$0(orcid)0000-0003-2360-0845$$aMelero, J. J.$$uUniversidad de Zaragoza
000085423 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000085423 773__ $$g1356 1-13, 1 (2019), 012043$$pJ. Phys.: Conf. Ser.$$tJournal of Physics: Conference Series$$x1742-6588
000085423 8564_ $$s3683729$$uhttps://zaguan.unizar.es/record/85423/files/texto_completo.pdf$$yVersión publicada
000085423 8564_ $$s32466$$uhttps://zaguan.unizar.es/record/85423/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000085423 909CO $$ooai:zaguan.unizar.es:85423$$particulos$$pdriver
000085423 951__ $$a2020-07-16-09:44:26
000085423 980__ $$aARTICLE