Design of hydrofoils for small-scaled hydrokinetic turbines using population-based algorithm (CROSBI ID 653888)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Barbarić, Marina ; Guzović, Zvonimir
engleski
Design of hydrofoils for small-scaled hydrokinetic turbines using population-based algorithm
The hydrokinetic turbines represent an attractive alternative to conventional hydroelectric technologies as they can generate electricity from the flowing water without the use of large dams and reservoirs. This feature makes them applicable to a larger number of sites with a less harmful impact on the environment. However, the main barrier to their commercialization is relatively low efficiency. The majority of literature focuses on the design improvements of large-scaled hydrokinetic turbines for tidal applications which may be the reason for delayed widespread utilization of kinetic energy contained in rivers and canals. Therefore, the objective of this paper is to provide an efficient approach to the design of small-scaled hydrokinetic turbines with improved hydrodynamic performance by using specially designed hydrofoils. In order to design hydrofoil, characterized by high lift to drag ratio and delayed cavitation inception in the considered operating range of the turbine, the genetic algorithm optimization technique is incorporated in the rotor design procedure. Instead of using multi-objective optimization techniques, that can be quite complex, in this work single objective approximation has been used to meet both criteria by assigning weighting factors. High computational efficiency of the proposed approach is achieved by using B- spline representation of hydrofoil that reduces the number of required control variables in the optimization process, while at the same time keeps wide variety of different hydrofoil shapes that can be obtained. The new hydrofoil is characterized by higher lift to drag ratio in the wide range of angles of attack and delayed cavitation inception.
Blade element momentum theory ; design improvements ; hydrokinetic turbines ; hydrofoil optimization ; genetic algorithm
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Podaci o prilogu
2017.
objavljeno
Podaci o matičnoj publikaciji
Digital Proceedings of 12th Conference on Sustainable Development of Energy, Water and Environment Systems - SDEWES 2017 Ban, Marko et al. - Zagreb : International Centre for Sustainable Development of Energy, Water and Environment Systems – SDEWES Centre, 2017
Podaci o skupu
12th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES 2017)
predavanje
04.10.2017-08.10.2017
Dubrovnik, Hrvatska