Overview of wind parameters sensing methods and framework of a novel MCSPV recombination sensing method for wind turbines

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aut.relation.journalEnergiesen_NZ
dark.contributor.authorShen, Xen_NZ
dark.contributor.authorZhou, Cen_NZ
dark.contributor.authorLi, Gen_NZ
dark.contributor.authorFu, Xen_NZ
dark.contributor.authorLie, Ten_NZ
dc.date.accessioned2018-07-24T04:47:36Z
dc.date.available2018-07-24T04:47:36Z
dc.date.copyright2018-07-03en_NZ
dc.date.issued2018-07-03en_NZ
dc.description.abstractThe paper presents an overview of the traditional methods to obtain wind parameters such as wind speed, wind direction and air density. After analyzing wind turbines’ arrangements and communication characteristics and the correlation of operation data between wind turbines, the paper proposes a novel recombination-sensing method route of “measuring–correlating–sharing–predicting–verifying” (MCSPV) and explores its feasibility. The analysis undertaken in the paper shows that the wind speed and wind direction instrument fixed on the wind turbine nacelle is simple and economical. However, it performs in-process measurement, which restricts the control optimization of wind turbines. The light detection and ranging (LIDAR) technology which is accurate and fast, ensures an early and super short-time sensing of wind speed and wind direction but it is costly. The wind parameter predictive perception method can predict wind speed and wind power at multiple time scales statistically, but it has limited significance for the control of the action of wind turbines. None of the traditional wind parameter-sensing methods have ever succeeded in air density sensing. The MCSPV recombination sensing method is feasible, both theoretically and in engineering, for realizing the efficient and accurate sensing and obtaining of such parameters as wind speed, wind direction and air density aimed at the control of wind turbines.
dc.identifier.citationEnergies, 11(7), 1747. doi:10.3390/en11071747
dc.identifier.doi10.3390/en11071747en_NZ
dc.identifier.issn1996-1073en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/11748
dc.publisherMDPI AGen_NZ
dc.relation.urihttp://www.mdpi.com/1996-1073/11/7/1747
dc.rightsThis is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectWind turbine; Wind parameter; Measurement awareness; Predictive perception; Recombination sensing; Technology framework
dc.titleOverview of wind parameters sensing methods and framework of a novel MCSPV recombination sensing method for wind turbinesen_NZ
dc.typeJournal Article
pubs.elements-id341641
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/Design & Creative Technologies/Engineering, Computer & Mathematical Sciences
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies/PBRF ECMS
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