A new similarity criterion for wind tunnel testing of floating wind turbines achieving dynamic aerodynamic characteristics similarity

Luo, Tianxiao; Wu, Guangxing; Zhang, Pan; Zhang, Hairui

doi:10.1016/j.enconman.2023.118015

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Energy Conversion and Management

2024

DOI: 10.1016/j.enconman.2023.118015

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A new similarity criterion for wind tunnel testing of floating wind turbines achieving dynamic aerodynamic characteristics similarity

Tianxiao Luo,

Guangxing Wu,

Pan Zhang

et al.

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Improving Wind Power Forecast Accuracy for Optimal Hybrid System Energy Management

Rim,

Mohsen,

Oualha

2024

Journal of Energy Resources Technology

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Due to its renewable and sustainable features, the wind energy is growing up around the word. However, the wind speed fluctuation induces the intermittent character of the generated wind power. Thus, wind power estimation, through wind speed forecasting, is very inherent to ensure an effective power scheduling. Four wind speed predictors based on deep learning networks and optimization algorithms, were developed. The designed topologies are the multilayer perceptron neural network, the long short-term memory network, the convolutional short-term memory network and the bidirectional short-term neural network coupled with the Bayesian optimization. The models performance was evaluated through evaluation indicators mainly, the root mean squared error, the mean absolute error and the mean absolute percentage. Based on the simulation results, all of them show a considerable prediction results. Moreover, the combination of the the long short-term memory network and the optimization algorithm is more robust on wind speed forecasting with a mean absolute error equal to 0.23 m/s. The estimated wind power was investigated for an optimal Wind/PV/Battery/Diesel energy management. The handling approach lies on the continuity of the load supply through the renewable sources as priority, the batteries on second order and finally the diesels. The proposed management strategy respects the designed criteria with satisfactory contribution percentage of the renewable sources equal to 71%.

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Improving Wind Power Forecast Accuracy for Optimal Hybrid System Energy Management

Rim,

Mohsen,

Oualha

2024

Journal of Energy Resources Technology

View full text Add to dashboard Cite

show abstract

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A new similarity criterion for wind tunnel testing of floating wind turbines achieving dynamic aerodynamic characteristics similarity

Cited by 1 publication

References 20 publications

Improving Wind Power Forecast Accuracy for Optimal Hybrid System Energy Management

Improving Wind Power Forecast Accuracy for Optimal Hybrid System Energy Management

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