The role of predictability in the investment phase of wind farms

Date

2017-06-23

Authors

Sanz Rodrigo, Javier
Girard, Robin
Kariniotakis, George
Laquaine, Kevin
Stoffels, Nicole
Von Bremen, Lueder

Director

Publisher

Woodhead Publishing
Acceso cerrado / Sarbide itxia
Capítulo de libro / Liburuen kapitulua

Project identifier

Impacto

Abstract

Within 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.

Description

Acceso 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.).

Keywords

Assessment, Decision-making, Investment phase, Portfolio effect, Predictability, Spatial planning, Wind farm

Department

Estadística e Investigación Operativa / Estatistika eta Ikerketa Operatiboa

Faculty/School

Degree

Doctorate program

item.page.cita

Sanz 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

item.page.rights

© 2017 Elsevier Ltd.

Los documentos de Academica-e están protegidos por derechos de autor con todos los derechos reservados, a no ser que se indique lo contrario.