Journal article
An Induction Curve Model for Prediction of Power Output of Wind Turbines in Complex Conditions
Energies (Basel), Vol.13(4), p.891
02/17/2020
DOI: 10.3390/en13040891
Abstract
Power generation from wind farms is traditionally modeled using power curves. These models are used for assessment of wind resources or for forecasting energy production from existing wind farms. However, prediction of power using power curves is not accurate since power curves are based on ideal uniform inflow wind, which do not apply to wind turbines installed in complex and heterogeneous terrains and in wind farms. Therefore, there is a need for new models that account for the effect of non-ideal operating conditions. In this work, we propose a model for effective axial induction factor of wind turbines that can be used for power prediction. The proposed model is tested and compared to traditional power curve for a 2.5 MW horizontal axis wind turbine. Data from supervisory control and data acquisition (SCADA) system along with wind speed measurements from a nacelle-mounted sonic anemometer and turbulence measurements from a nearby meteorological tower are used in the models. The results for a period of four months showed an improvement of 51% in power prediction accuracy, compared to the standard power curve.
Details
- Title: Subtitle
- An Induction Curve Model for Prediction of Power Output of Wind Turbines in Complex Conditions
- Creators
- Mohsen VahidzadehCorey D Markfort
- Resource Type
- Journal article
- Publication Details
- Energies (Basel), Vol.13(4), p.891
- DOI
- 10.3390/en13040891
- ISSN
- 1996-1073
- eISSN
- 1996-1073
- Grant note
- DOI: 10.13039/100006445, name: National Science Foundation, award: 1101284; DOI: 10.13039/100011126, name: Center for Global and Regional Environmental Research, University of Iowa, award: xxx
- Language
- English
- Date published
- 02/17/2020
- Academic Unit
- Civil and Environmental Engineering; IIHR--Hydroscience and Engineering; Center for Global & Regional Environmental Research; Mechanical Engineering
- Record Identifier
- 9984066337302771
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