Cavitation Inception on Hydrokinetic Turbine Blades Shrouded by Diffuser
Hamilton Pessoa Picanço,
Adry Kleber Ferreira de Lima,
Déborah Aline Tavares Dias do Rio Vaz,
Erb Ferreira Lins and
Jerson Rogério Pinheiro Vaz
Additional contact information
Hamilton Pessoa Picanço: Engineering of Natural Resources of the Amazon Graduate Program (PRODERNA), Institute of Technology, Federal University of Pará, Av. Augusto Correa, N 1, Belém 66075-900, PA, Brazil
Adry Kleber Ferreira de Lima: Engineering of Natural Resources of the Amazon Graduate Program (PRODERNA), Institute of Technology, Federal University of Pará, Av. Augusto Correa, N 1, Belém 66075-900, PA, Brazil
Déborah Aline Tavares Dias do Rio Vaz: Engineering of Natural Resources of the Amazon Graduate Program (PRODERNA), Institute of Technology, Federal University of Pará, Av. Augusto Correa, N 1, Belém 66075-900, PA, Brazil
Erb Ferreira Lins: Engineering of Natural Resources of the Amazon Graduate Program (PRODERNA), Institute of Technology, Federal University of Pará, Av. Augusto Correa, N 1, Belém 66075-900, PA, Brazil
Jerson Rogério Pinheiro Vaz: Engineering of Natural Resources of the Amazon Graduate Program (PRODERNA), Institute of Technology, Federal University of Pará, Av. Augusto Correa, N 1, Belém 66075-900, PA, Brazil
Sustainability, 2022, vol. 14, issue 12, 1-22
Abstract:
Diffuser technology placed around hydrokinetic rotors may improve the conversion of the fluid’s kinetic energy into shaft power. However, rotor blades are susceptible to the phenomenon of cavitation, which can impact the overall power efficiency. This paper presents the development of a new optimization model applied to hydrokinetic blades shrouded by a diffuser. The proposed geometry optimization takes into account the effect of cavitation inception. The main contribution of this work to the state of the art is the development of an optimization procedure that takes into account the effects of diffuser efficiency, η d , and thrust, C T d . The authors are unaware of any other work available in the literature considering the effect of η d and C T d on the cavitation of shrouded hydrokinetic blades. The model uses the Blade Element Momentum Theory to seek optimized blade geometry in order to minimize or even avoid the occurrence of cavitation. The minimum pressure coefficient is used as a criterion to avoid cavitation inception. Additionally, a Computational Fluid Dynamics investigation was carried out to validate the model based on the Reynolds-Averaged Navier–Stokes formulation, using the κ − ω Shear-Stress Transport turbulence and Rayleigh–Plesset models, to estimate cavitation by means of water vapor production. The methodology was applied to the design of a 10 m diameter hydrokinetic rotor, rated at 250 kW of output power at a flow velocity of 2.5 m/s. An analysis of the proposed model with and without a diffuser was carried out to evaluate the changes in the optimized geometry in terms of chord and twist angle distribution. It was found that the flow around a diffuser-augmented hydrokinetic blade doubles the cavitation inception relative to the unshrouded case. Additionally, the proposed optimization model can completely remove the cavitation occurrence, making it a good alternative for the design of diffuser-augmented hydrokinetic blades free of cavitation.
Keywords: diffuser; hydrokinetic turbine; cavitation; blade optimization; blade element momentum theory; Rayleigh–Plesset model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.mdpi.com/2071-1050/14/12/7067/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/12/7067/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:12:p:7067-:d:835001
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().