LAPSE:2023.28529v1
Published Article

LAPSE:2023.28529v1
Prediction and Validation of the Annual Energy Production of a Wind Turbine Using WindSim and a Dynamic Wind Turbine Model
April 12, 2023
Abstract
In this study, dynamic simulations of a wind turbine were performed to predict its dynamic performance, and the results were experimentally validated. The dynamic simulation received time-domain wind speed and direction data and predicted the power output by applying control algorithms. The target wind turbine for the simulation was a 2 MW wind turbine installed in an onshore wind farm. The wind speed and direction data for the simulation were obtained from WindSim, which is a commercial computational fluid dynamics (CFD) code for wind farm design, and measured wind speed and direction data with a mast were used for WindSim. For the simulation, the wind turbine controller was tuned to match the power curve of the target wind turbine. The dynamic simulation was performed for a period of one year, and the results were compared with the results from WindSim and the measurement. It was found from the comparison that the annual energy production (AEP) of a wind turbine can be accurately predicted using a dynamic wind turbine model with a controller that takes into account both power regulations and yaw actions with wind speed and direction data obtained from WindSim.
In this study, dynamic simulations of a wind turbine were performed to predict its dynamic performance, and the results were experimentally validated. The dynamic simulation received time-domain wind speed and direction data and predicted the power output by applying control algorithms. The target wind turbine for the simulation was a 2 MW wind turbine installed in an onshore wind farm. The wind speed and direction data for the simulation were obtained from WindSim, which is a commercial computational fluid dynamics (CFD) code for wind farm design, and measured wind speed and direction data with a mast were used for WindSim. For the simulation, the wind turbine controller was tuned to match the power curve of the target wind turbine. The dynamic simulation was performed for a period of one year, and the results were compared with the results from WindSim and the measurement. It was found from the comparison that the annual energy production (AEP) of a wind turbine can be accurately predicted using a dynamic wind turbine model with a controller that takes into account both power regulations and yaw actions with wind speed and direction data obtained from WindSim.
Record ID
Keywords
annual energy production, dynamic wind turbine model, flow analysis, onshore wind farm, peak shaver, yaw motion
Subject
Suggested Citation
Song Y, Paek I. Prediction and Validation of the Annual Energy Production of a Wind Turbine Using WindSim and a Dynamic Wind Turbine Model. (2023). LAPSE:2023.28529v1
Author Affiliations
Song Y: Department of Advanced Mechanical Engineering, Kangwon National University, Chuncheon 24341, Gangwon, Korea [ORCID]
Paek I: Department of Integrated Energy & Infra System, Kangwon National University, Chuncheon 24341, Gangwon, Korea; Department of Mechatronics Engineering, Kangwon National University, Chuncheon 24341, Gangwon, Korea
Paek I: Department of Integrated Energy & Infra System, Kangwon National University, Chuncheon 24341, Gangwon, Korea; Department of Mechatronics Engineering, Kangwon National University, Chuncheon 24341, Gangwon, Korea
Journal Name
Energies
Volume
13
Issue
24
Article Number
E6604
Year
2020
Publication Date
2020-12-14
ISSN
1996-1073
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Original Submission
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PII: en13246604, Publication Type: Journal Article
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LAPSE:2023.28529v1
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https://doi.org/10.3390/en13246604
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Apr 12, 2023
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