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

Javier Sanz Rodrigo; Fernando Borbón Guillén; Pedro M. Fernandes Correia; Bibiana García Hevia; Wolfgang Schlez; Sascha Schmidt; Sukanta Basu; Bowen Li; Per Nielsen; null More Authors

doi:10.1088/1742-6596/1618/6/062044

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

Javier Sanz Rodrigo^*, Fernando Borbón Guillén, Pedro M. Fernandes Correia, Bibiana García Hevia, Wolfgang Schlez, Sascha Schmidt, Sukanta Basu, Bowen Li, Per Nielsen, More Authors

^*Corresponding author for this work

Atmospheric Remote Sensing

Research output: Contribution to journal › Conference article › Scientific › peer-review

4 Citations (Scopus)

58 Downloads (Pure)

Original language	English
Article number	062044
Pages (from-to)	1-10
Number of pages	10
Journal	Journal of Physics: Conference Series
Volume	1618
DOIs	https://doi.org/10.1088/1742-6596/1618/6/062044
Publication status	Published - 2020
Event	Science of Making Torque from Wind 2020, TORQUE 2020 - Online, Virtual, Online, Netherlands Duration: 28 Sept 2020 → 2 Oct 2020

Keywords

meso-wake
mesoscale
open-source
SCADA
validation
wakes

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10.1088/1742-6596/1618/6/062044

Rodrigo_2020_J._Phys. _Conf._Ser._1618_062044Final published version, 1.63 MBLicence: CC BY

Cite this

Rodrigo, J. S., Guillén, F. B., Fernandes Correia, P. M., García Hevia, B., Schlez, W., Schmidt, S., Basu, S., Li, B., Nielsen, P., & More Authors (2020). Validation of Meso-Wake Models for Array Efficiency Prediction Using Operational Data from Five Offshore Wind Farms. Journal of Physics: Conference Series, 1618, 1-10. Article 062044. https://doi.org/10.1088/1742-6596/1618/6/062044

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

keywords = "meso-wake, mesoscale, open-source, SCADA, validation, wakes",

author = "Rodrigo, {Javier Sanz} and Guill{\'e}n, {Fernando Borb{\'o}n} and {Fernandes Correia}, {Pedro M.} and {Garc{\'i}a Hevia}, Bibiana and Wolfgang Schlez and Sascha Schmidt and Sukanta Basu and Bowen Li and Per Nielsen and {More Authors}",

year = "2020",

doi = "10.1088/1742-6596/1618/6/062044",

language = "English",

volume = "1618",

pages = "1--10",

journal = "Journal of Physics: Conference Series",

issn = "1742-6588",

publisher = "IOP Publishing",

note = "Science of Making Torque from Wind 2020, TORQUE 2020 ; Conference date: 28-09-2020 Through 02-10-2020",

}

Rodrigo, JS, Guillén, FB, Fernandes Correia, PM, García Hevia, B, Schlez, W, Schmidt, S, Basu, S, Li, B, Nielsen, P & More Authors 2020, 'Validation of Meso-Wake Models for Array Efficiency Prediction Using Operational Data from Five Offshore Wind Farms', Journal of Physics: Conference Series, vol. 1618, 062044, pp. 1-10. https://doi.org/10.1088/1742-6596/1618/6/062044

Validation of Meso-Wake Models for Array Efficiency Prediction Using Operational Data from Five Offshore Wind Farms. / Rodrigo, Javier Sanz; Guillén, Fernando Borbón; Fernandes Correia, Pedro M. et al.
In: Journal of Physics: Conference Series, Vol. 1618, 062044, 2020, p. 1-10.

Research output: Contribution to journal › Conference article › Scientific › peer-review

TY - JOUR

T1 - Validation of Meso-Wake Models for Array Efficiency Prediction Using Operational Data from Five Offshore Wind Farms

AU - Rodrigo, Javier Sanz

AU - Guillén, Fernando Borbón

AU - Fernandes Correia, Pedro M.

AU - García Hevia, Bibiana

AU - Schlez, Wolfgang

AU - Schmidt, Sascha

AU - Basu, Sukanta

AU - Li, Bowen

AU - Nielsen, Per

AU - More Authors, null

PY - 2020

Y1 - 2020

KW - meso-wake

KW - mesoscale

KW - open-source

KW - SCADA

KW - validation

KW - wakes

UR - http://www.scopus.com/inward/record.url?scp=85092468183&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1618/6/062044

DO - 10.1088/1742-6596/1618/6/062044

M3 - Conference article

AN - SCOPUS:85092468183

SN - 1742-6588

VL - 1618

SP - 1

EP - 10

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

M1 - 062044

T2 - Science of Making Torque from Wind 2020, TORQUE 2020

Y2 - 28 September 2020 through 2 October 2020

ER -

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

Keywords

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