The role of predictability in the investment phase of wind farms

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dc.contributor.authorSanz Rodrigo, Javier
dc.contributor.authorFrías Paredes, Laura
dc.contributor.authorGirard, Robin
dc.contributor.authorKariniotakis, George
dc.contributor.authorLaquaine, Kevin
dc.contributor.authorStoffels, Nicole
dc.contributor.authorBremen, Lueder von
dc.contributor.departmentEstadística e Investigación Operativaes_ES
dc.contributor.departmentEstatistika eta Ikerketa Operatiboaeu
dc.date.accessioned2024-11-22T08:08:20Z
dc.date.available2024-11-22T08:08:20Z
dc.date.issued2017-06-23
dc.date.updated2024-11-22T08:05:21Z
dc.descriptionAcceso cerrado a este documento. No se encuentra disponible para la consulta pública. Depositado en Academica-e para cumplir con los requisitos de evaluación y acreditación académica del autor/a (sexenios, acreditaciones, etc.).
dc.description.abstractWithin the SAFEWIND project, wind power predictability is evaluated to suggest potential benefits during the planning phase of wind farm deployment. Predictability assessment can be useful, for instance, to anticipate operational costs due to market imbalance for energy traders, costs related to prediction of offshore weather windows for turbine installation or maintenance, or to benefit from portfolio effects when aggregating wind farms that operate in uncorrelated wind climates. While the weight of predictability for a wind farm developer is low in the decision-making process compared to the capacity factor, it remains a useful indicator of the quality of wind for grid integration purposes. A series of case studies are presented in various European regions to present tools for wind power predictability assessment at different scales.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationSanz Rodrigo, J., Frías Paredes, L., Girard, R., Kariniotakis, G., Laquaine, K., Stoffels, N., Von Bremen, L. (2017) The role of predictability in the investment phase of wind farms. In Kariniotakis G. (Ed.), Renewable energy forecasting: from models to applications (pp. 341-357). Woodhead Publishing. https://doi.org/10.1016/B978-0-08-100504-0.00014-7
dc.identifier.doi10.1016/B978-0-08-100504-0.00014-7
dc.identifier.isbn978-0-08-100504-0
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/52562
dc.language.isoeng
dc.publisherWoodhead Publishing
dc.relation.ispartofIn Kariniotakis, G. (Ed.). Renewable energy forecasting: From models to applications. Woodhead Publishing; 2017. p. 341-357. 978-0-08-100504-0
dc.relation.publisherversionhttps://doi.org/10.1016/B978-0-08-100504-0.00014-7
dc.rights© 2017 Elsevier Ltd.
dc.rights.accessRightsinfo:eu-repo/semantics/closedAccess
dc.subjectAssessmenten
dc.subjectDecision-makingen
dc.subjectInvestment phaseen
dc.subjectPortfolio effecten
dc.subjectPredictabilityen
dc.subjectSpatial planningen
dc.subjectWind farmen
dc.titleThe role of predictability in the investment phase of wind farmsen
dc.typeinfo:eu-repo/semantics/bookPart
dspace.entity.typePublication
relation.isAuthorOfPublication2fc7260a-edd4-4ef0-bd4a-cd70cb2d7c0a
relation.isAuthorOfPublication.latestForDiscovery2fc7260a-edd4-4ef0-bd4a-cd70cb2d7c0a

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