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Validation of Meso-Wake Models for Array Efficiency Prediction Using Operational Data from Five Offs...

Validation of Meso-Wake Models for Array Efficiency Prediction Using Operational Data from Five Offs...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2620836616

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

About this item

Full title

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

Publisher

Bristol: IOP Publishing

Journal title

Journal of physics. Conference series, 2020-09, Vol.1618 (6), p.62044

Language

English

Formats

Publication information

Publisher

Bristol: IOP Publishing

More information

Scope and Contents

Contents

The growing size of wind turbines and wind farms in the offshore environment, eventually occupying tens of kilometers and extending beyond 200 m in height, has challenged traditional wind farm models to incorporate larger atmospheric scales with greater influence from the full extent of the atmospheric boundary layer (ABL). The modeling system is s...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2620836616

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2620836616

Other Identifiers

ISSN

1742-6588

E-ISSN

1742-6596

DOI

10.1088/1742-6596/1618/6/062044

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