Effect of Selection of Design Parameters on the Optimization of a Horizontal Axis Wind Turbine via Genetic Algorithm

Alpman, Emre

doi:10.1088/1742-6596/524/1/012044

Cited by 6 publications

(9 citation statements)

References 7 publications

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“…Flow field predictions for the NREL Phase VI rotor and the aerodynamically optimized rotor from reference [6] were obtained for EOG and EDC conditions. Numerical solutions were performed for initial wind speeds of 7, 10, 13, 15 and 20 m/s.…”

Section: Resultsmentioning

confidence: 99%

“…The power values produced by the turbines at 15 m/s are nearly same. Aerodynamic performances of the turbines are similar because during the optimization studies performed in reference [6], the rated power of the optimized turbine was not allowed to exceed 110% of the rated power of NREL Phase VI turbine. The optimized rotor produces a slightly higher torque at low wind speeds because it was optimized of for Gökçeada, Turkey location where mean and most probable wind speeds are 8.8 m/s and 6 m/s, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…The first turbine studied is the NREL Phase VI horizontal axis experimental wind turbine [7]. It is a stall regulated turbine with a rated power of 20 kW and rotor diameter of 10.06 m. The second turbine has the same rated power and diameter with those of NREL Phase VI but its blades were aerodynamically optimized for maximum annual energy production using genetic algorithm [6]. Blade parameters for optimizations were chord length and twist angle distributions along the blade span, the pitch angle of the blades and airfoil profiles for the root, primary and tip portions of the blades [5], [6].…”

Section: Introductionmentioning

confidence: 99%

“…In Ref. [6] chord length and twist angle distributions along the blade span were defined using cubic Bezier curves with different number of control points. In this study, the design obtained using three control points, which yielded the best annual energy production value in [6], will be used.…”

Section: Introductionmentioning

confidence: 99%

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Aerodynamic Performance of Small-Scale Horizontal Axis Wind Turbines Under Two Different Extreme Wind Conditions

Alpman¹

2015

Journal of Thermal Engineering

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Aerodynamic performance of two small-scale horizontal axis wind turbines are analyzed under the extreme operating gust and extreme direction change conditions with initial wind speeds of 7, 10, 13, 15 and 20 m/s. Performance predictions are performed using computational fluid dynamics, and time variations of shaft torque and hub bending moment produced by the turbines are presented and compared with each other. Sectional flow field and sectional blade loading details along with surface skin friction line predictions are also presented in order to explain the loading behavior of the turbine blades at the mentioned extreme wind conditions. Predictions show that variations in wind speed and blade loadings are similar at low wind speeds, however, this similarity degrades as the wind speed increases. Also compared to wind speed changes, aerodynamic forces are shown to adapt more slowly to wind direction changes.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Aerodynamic Performance of Small-Scale Horizontal Axis Wind Turbines Under Two Different Extreme Wind Conditions

Alpman¹

2015

Journal of Thermal Engineering

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“…In addition to the number of the blades, the blade geometry also affects the performance of a DAWT [16]. The blades of a horizontal augmented wind turbine are typically designed or optimized for a uniform oncoming wind [23][24][25][26][27][28]. However, the presence of the duct may considerably alter the flow entering the rotor plane and the blades may need to be redesigned for DAWTs [20].…”

Section: Introductionmentioning

confidence: 99%

Multiobjective aerodynamic optimization of a microscale ducted wind turbine using a genetic algorithm

Alpman¹

2018

Turk J Elec Eng & Comp Sci

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Abstract:A two-objective aerodynamic optimization of a microscale ducted wind turbine was performed using a genetic algorithm. Two different fitness function pairs were considered for this purpose. In the first alternative the algorithm maximized the power produced while minimizing the drag force at a given wind speed and tip speed ratio. In the second alternative, however, the annual energy production was maximized while minimizing the maximum drag force developed between the cut-in and cut-off wind speeds. Computational fluid dynamics solutions performed for selected best designs showed that optimizations performed using the second alternative yielded better turbines, which could produce more power at lower drag. The best design of the second alternative was also observed to operate efficiently at a larger tip speed ratio range compared to the second alternative.

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State of the Art in the Optimisation of Wind Turbine Performance Using CFD

Shourangiz-Haghighi

Haghnegahdar

Wang

et al. 2019

Arch Computat Methods Eng

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Effect of Selection of Design Parameters on the Optimization of a Horizontal Axis Wind Turbine via Genetic Algorithm

Cited by 6 publications

References 7 publications

Aerodynamic Performance of Small-Scale Horizontal Axis Wind Turbines Under Two Different Extreme Wind Conditions

Aerodynamic Performance of Small-Scale Horizontal Axis Wind Turbines Under Two Different Extreme Wind Conditions

Multiobjective aerodynamic optimization of a microscale ducted wind turbine using a genetic algorithm

State of the Art in the Optimisation of Wind Turbine Performance Using CFD

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