Investigation of a small Horizontal–Axis wind turbine performance with and without winglet

Mohamed Khaled, Mostafa M. Ibrahim, Hesham E. Abdel Hamed and Ahmed F. AbdelGwad

Energy, 2019, vol. 187, issue C

Abstract: The objective of this study is to demonstrate computationally the effect of winglet length and cant angle on the performance of a small horizontal-axis wind turbine. The computational study was done using the ANSYS Fluent 15 software for a steady-state flow. Different designs of winglet with different lengths and cant angles were numerically studied and optimized using Artificial Neural Network (ANN). The winglet length was changed from 1% to 7% of the wind turbine rotor radius with cant angles from 150 to 900. The parameters of the wind turbine performance, which are power coefficient and thrust force coefficient were investigated for different winglet configurations. This was carried out from cut-in wind speed (3.12 m/s) to wind speed (12 m/s). It demonstrated that, there were noticeable enhancements in power and thrust coefficients in the presence of winglet. The best improvement in the performance was achieved when winglet length was 6.32% and cant angle 48.30. At this case, the percentage increase in power coefficient equals to the percentage increase in thrust coefficient which was 8.787%.

Keywords: Wind turbine rotor; Winglets; Power coefficient; Thrust coefficient; Artificial neural network (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:187:y:2019:i:c:s0360544219316056

DOI: 10.1016/j.energy.2019.115921

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