Experimental Optimization of the Propeller Turbine Performance Using the Response Surface Methodology

Laura Velásquez, Ainhoa Rubio-Clemente (), Daniel Tobón, Francisco Botero, Carlos Arrieta and Edwin Chica ()
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Laura Velásquez: Grupo de Energía Alternativa, Facultad de Ingeniería, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 050010, Colombia
Ainhoa Rubio-Clemente: Grupo de Energía Alternativa, Facultad de Ingeniería, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 050010, Colombia
Daniel Tobón: Applied Mechanics Research Group, Universidad EAFIT, Carrera 49 No. 7-50, Medellín 050022, Colombia
Francisco Botero: Applied Mechanics Research Group, Universidad EAFIT, Carrera 49 No. 7-50, Medellín 050022, Colombia
Carlos Arrieta: Grupo de Investigación en Ingeniería en Energía, Facultad de Ingeniería, Universidad de Medellín, Carrera 87 No. 30-65, Medellín 050026, Colombia
Edwin Chica: Grupo de Energía Alternativa, Facultad de Ingeniería, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 050010, Colombia

Sustainability, 2024, vol. 16, issue 19, 1-18

Abstract: The growing global energy demand necessitates a shift towards sustainable sources to mitigate environmental issues and ensure energy security. This work explores the design and optimization of propeller-type hydrokinetic turbines to efficiently harness renewable energy from water currents. Through experimental testing and regression modeling, the research aimed to maximize the power coefficient ( C p ) by determining the optimal values of the number of blades ( Z ) and the turbine diameter to hub diameter ratio ( d / D ). By correcting for experimental biases, the study elucidates the importance of factors such as the blockage ratio and turbine configuration on its performance. A second-order polynomial regression model, which was validated through analysis of variance, determined that when Z and d / D were set at 4 and 0.15, respectively, the optimal value for Cp was 53.62%. These findings provide valuable insights for optimizing hydrokinetic turbine efficiency, contributing to the advancement of renewable energy technologies.

Keywords: propeller turbine; optimization; response surface methodology; blade; efficiency; experimental test (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:19:p:8476-:d:1488773

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