Validation of Meso-Wake Models for Array Efficiency Prediction Using Operational Data from Five Offshore Wind Farms

None, None; None, None; None, None; None, None; None, None; None, None; None, None; None, None; None, None; None, None

Validation of Meso-Wake Models for Array Efficiency Prediction Using Operational Data from Five Offshore Wind Farms

Journal Article (2020)

Author(s)

Javier Sanz Rodrigo (CENER - National Renewable Energy Centre)

Fernando Borbón Guillén (CENER - National Renewable Energy Centre)

Pedro M. Fernandes Correia (CENER - National Renewable Energy Centre)

Bibiana García Hevia (CENER - National Renewable Energy Centre)

Wolfgang Schlez (ProPlanEn, Heidelberg)

Sascha Schmidt (ProPlanEn, Heidelberg)

Sukanta Basu (TU Delft - Atmospheric Remote Sensing)

Bowen Li (TU Delft - Atmospheric Remote Sensing)

Per Nielsen (EMD International A/S, Aalborg)

undefined More Authors (External organisation)

SCADA Validation Open-source Wakes Mesoscale Meso-wake

DOI related publication

https://doi.org/10.1088/1742-6596/1618/6/062044 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:3ac4da00-5f34-413c-909c-2cb154c46fff

More Info

expand_more

Publication Year

2020

Language

English

Volume number

1618

Article number

062044

Pages (from-to)

1-10

Event

Downloads counter

269

Collections

Institutional Repository

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Files

Rodrigo_2020_J._Phys._Conf._Se... (pdf)

(pdf | 1.72 Mb)