000048665 001__ 48665
000048665 005__ 20200221144309.0
000048665 0247_ $$2doi$$a10.3390/en9030162
000048665 0248_ $$2sideral$$a94623
000048665 037__ $$aART-2016-94623
000048665 041__ $$aeng
000048665 100__ $$0(orcid)0000-0002-4770-0069$$aDomínguez-Navarro, J.A.$$uUniversidad de Zaragoza
000048665 245__ $$aEvaluation of the fluid model approach for the sizing of energy storage in wave-wind energy systems
000048665 260__ $$c2016
000048665 5060_ $$aAccess copy available to the general public$$fUnrestricted
000048665 5203_ $$aThe application of energy storage in offshore renewable generation systems allows managing the intrinsic uncertainty of the resources and improving the utilization factor of the electrical network. Optimal storage design algorithms generally have to evaluate the behavior of the whole system thousands times before converging to the optimal solution and the reliability of the results obviously depends on the quality of input data. On the other hand, the utilization of simplified storage models in the design stage can reduce the simulation time drastically, while still providing useful information. The goal of this paper is to evaluate the applicability of a methodology for sizing the energy storage system in a hybrid wind and wave farm, which is based on fluid models. The description and performance of thismodeling approachwill be introduced and compared to standard design procedures based on extensive simulations. Advantages and limitations of each approach will be underlined and the impact of input data quality will be discussed.
000048665 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000048665 590__ $$a2.262$$b2016
000048665 591__ $$aENERGY & FUELS$$b45 / 92 = 0.489$$c2016$$dQ2$$eT2
000048665 592__ $$a0.662$$b2016
000048665 593__ $$aElectrical and Electronic Engineering$$c2016$$dQ1
000048665 593__ $$aRenewable Energy, Sustainability and the Environment$$c2016$$dQ2
000048665 593__ $$aEnergy Engineering and Power Technology$$c2016$$dQ2
000048665 593__ $$aControl and Optimization$$c2016$$dQ2
000048665 593__ $$aEnergy (miscellaneous)$$c2016$$dQ2
000048665 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000048665 700__ $$aTedeschi, E.
000048665 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000048665 773__ $$g9, 3 (2016), [19 pp.]$$pENERGIES$$tEnergies$$x1996-1073
000048665 8564_ $$s1336470$$uhttps://zaguan.unizar.es/record/48665/files/texto_completo.pdf$$yVersión publicada
000048665 8564_ $$s110784$$uhttps://zaguan.unizar.es/record/48665/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000048665 909CO $$ooai:zaguan.unizar.es:48665$$particulos$$pdriver
000048665 951__ $$a2020-02-21-13:36:16
000048665 980__ $$aARTICLE