ACTIVEWINDFARMS

Active Wind Farms: Optimization and Control of Atmospheric Energy Extraction in Gigawatt Wind Farms

 Coordinatore KATHOLIEKE UNIVERSITEIT LEUVEN 

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 Nazionalità Coordinatore Belgium [BE]
 Totale costo 1˙499˙241 €
 EC contributo 1˙499˙241 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2012-StG_20111012
 Funding Scheme ERC-SG
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-10-01   -   2017-09-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    KATHOLIEKE UNIVERSITEIT LEUVEN

 Organization address address: Oude Markt 13
city: LEUVEN
postcode: 3000

contact info
Titolo: Mrs.
Nome: Sarah
Cognome: Malevé
Email: send email
Telefono: +32 16 3 20611
Fax: +32 16 3 26515

BE (LEUVEN) hostInstitution 1˙499˙241.00
2    KATHOLIEKE UNIVERSITEIT LEUVEN

 Organization address address: Oude Markt 13
city: LEUVEN
postcode: 3000

contact info
Titolo: Prof.
Nome: Johan
Cognome: Meyers
Email: send email
Telefono: 3216322502

BE (LEUVEN) hostInstitution 1˙499˙241.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

turbine    flow    become    wind    power    farms    abl    optimization    gigawatt    turbines    energy    related    optimal    boundary    layer    engineering    introduces    atmospheric   

 Obiettivo del progetto (Objective)

'With the recognition that wind energy will become an important contributor to the world’s energy portfolio, several wind farms with a capacity of over 1 gigawatt are in planning phase. In the past, engineering of wind farms focused on a bottom-up approach, in which atmospheric wind availability was considered to be fixed by climate and weather. However, farms of gigawatt size slow down the Atmospheric Boundary Layer (ABL) as a whole, reducing the availability of wind at turbine hub height. In Denmark’s large off-shore farms, this leads to underperformance of turbines which can reach levels of 40%–50% compared to the same turbine in a lone-standing case. For large wind farms, the vertical structure and turbulence physics of the flow in the ABL become crucial ingredients in their design and operation. This introduces a new set of scientific challenges related to the design and control of large wind farms. The major ambition of the present research proposal is to employ optimal control techniques to control the interaction between large wind farms and the ABL, and optimize overall farm-power extraction. Individual turbines are used as flow actuators by dynamically pitching their blades using time scales ranging between 10 to 500 seconds. The application of such control efforts on the atmospheric boundary layer has never been attempted before, and introduces flow control on a physical scale which is currently unprecedented. The PI possesses a unique combination of expertise and tools enabling these developments: efficient parallel large-eddy simulations of wind farms, multi-scale turbine modeling, and gradient-based optimization in large optimization-parameter spaces using adjoint formulations. To ensure a maximum impact on the wind-engineering field, the project aims at optimal control, experimental wind-tunnel validation, and at including multi-disciplinary aspects, related to structural mechanics, power quality, and controller design.'

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