Design of optimal airfoils for airborne wind energy applications

Rangriz, Sina; Kheiri, Mojtaba

doi:10.2514/6.2023-1155

Cited by 1 publication

(3 citation statements)

References 9 publications

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“…Coenen [14] Single-skin Surrogate modelling [15] RANS NACA four-digit Thedens et al [16] Ram-air NSGA II [10] RFOIL CST [17] Kroon [18] Single-element NSGA II [10] RFOIL CST [17] Saleem et al [19] Single-element Single-objective GA [19] XFOIL and RANS verif. PARSEC [20] Rangriz et al [21] Single-element NSGA II [10] XFOIL IGP [22] Echeverri et al [7] Two-element…”

Section: Reference Airfoil Type Optimisation Methods Aerodynamic Solv...mentioning

confidence: 99%

“…Since the present study focuses on multi-element airfoils for fixed-wing AWE systems, only the works of [23,25] and the very recent contribution of [21] on single-element airfoils are included in the following, more detailed discussion.…”

Section: Reference Airfoil Type Optimisation Methods Aerodynamic Solv...mentioning

confidence: 99%

“…However, the optimisation did not take into account any coupling effects between the four geometry parameters, as each parameter was varied one at a time. Rangriz et al [21] used the improved geometric parameter (IGP) method to create shapes of single-element airfoils within an optimisation process using a genetic algorithm. The resulting airfoils were reminiscent of flapped airfoils, indicating the superiority of a multi-element airfoil design.…”

Section: Reference Airfoil Type Optimisation Methods Aerodynamic Solv...mentioning

confidence: 99%

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Optimisation of a Multi-Element Airfoil for a Fixed-Wing Airborne Wind Energy System

Smidt

Schmehl

et al. 2023

Energies

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Airborne wind energy systems benefit from high-lift airfoils to increase power output. This paper proposes an optimisation approach for a multi-element airfoil of a fixed-wing system operated in pumping cycles to drive a drum-generator module on the ground. The approach accounts for the different design objectives of the tethered kite’s alternating production and return phases. The airfoil shape is first optimised for the production phase and then adapted for the requirements of the return phase by modifying the flap setting. The optimisation uses the multi-objective genetic algorithm NSGA-II in combination with the fast aerodynamic solver MSES. Once the optimal shape is determined, the aerodynamic performance is verified through CFD RANS simulations with OpenFOAM. The resulting airfoil achieves satisfactory performance for the production and return phases of the pumping cycles, and the CFD verification shows a fairly good agreement in terms of the lift coefficient. However, MSES significantly underpredicts the airfoil drag.

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Section: Reference Airfoil Type Optimisation Methods Aerodynamic Solv...mentioning

confidence: 99%

Section: Reference Airfoil Type Optimisation Methods Aerodynamic Solv...mentioning

confidence: 99%

Section: Reference Airfoil Type Optimisation Methods Aerodynamic Solv...mentioning

confidence: 99%

See 1 more Smart Citation

Optimisation of a Multi-Element Airfoil for a Fixed-Wing Airborne Wind Energy System

Smidt

Schmehl

et al. 2023

Energies

View full text Add to dashboard Cite

show abstract

Design of optimal airfoils for airborne wind energy applications

Cited by 1 publication

References 9 publications

Optimisation of a Multi-Element Airfoil for a Fixed-Wing Airborne Wind Energy System

Optimisation of a Multi-Element Airfoil for a Fixed-Wing Airborne Wind Energy System

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