000056781 001__ 56781
000056781 005__ 20200221144324.0
000056781 0247_ $$2doi$$a10.1088/1742-6596/753/3/032067
000056781 0248_ $$2sideral$$a96223
000056781 037__ $$aART-2016-96223
000056781 041__ $$aeng
000056781 100__ $$aYürüsen, N.Y.
000056781 245__ $$aProbability density function selection based on the characteristics of wind speed data
000056781 260__ $$c2016
000056781 5060_ $$aAccess copy available to the general public$$fUnrestricted
000056781 5203_ $$aThe probabilistic approach has an important place in the wind energy research field as it provides cheap and fast initial information for experts with the help of simulations and estimations. Wind energy experts have been using the Weibull distribution for wind speed data for many years. Nevertheless, there exist cases, where the Weibull distribution is inappropriate with data presenting bimodal or multimodal behaviour which are unfit in high, null and low winds that can cause serious energy estimation errors. This paper presents a procedure for dealing with wind speed data taking into account non-Weibull distributions or data treatment when needed. The procedure detects deviations from the unimodal (Weibull) distribution and proposes other possible distributions to be used. The deviations of the used distributions regarding real data are addressed with the Root Mean Square Error (RMSE) and the annual energy production (AEP).
000056781 536__ $$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 642108-AWESOME$$9info:eu-repo/grantAgreement/EC/H2020/642108/EU/Advanced Wind Energy Systems Operation and Maintenance Expertise/AWESOME
000056781 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000056781 592__ $$a0.24$$b2016
000056781 593__ $$aPhysics and Astronomy (miscellaneous)$$c2016$$dQ3
000056781 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000056781 700__ $$0(orcid)0000-0003-2360-0845$$aMelero, Julio J.$$uUniversidad de Zaragoza
000056781 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000056781 773__ $$g753 (2016), 032067 [10 pp.]$$pJ. Phys.: Conf. Ser.$$tJournal of physics. Conference series$$x1742-6588
000056781 8564_ $$s1838069$$uhttps://zaguan.unizar.es/record/56781/files/texto_completo.pdf$$yVersión publicada
000056781 8564_ $$s90228$$uhttps://zaguan.unizar.es/record/56781/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000056781 909CO $$ooai:zaguan.unizar.es:56781$$particulos$$pdriver
000056781 951__ $$a2020-02-21-13:42:44
000056781 980__ $$aARTICLE