4.7 Article

An efficient hydrodynamic method for cross-flow turbines performance evaluation and comparison with the experiment

Journal

RENEWABLE ENERGY
Volume 180, Issue -, Pages 993-1003

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2021.09.004

Keywords

Renewable energies; Darrieus turbine; Torque; Power; Torque coefficient; Power coefficient

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Renewable energies and cross-flow turbines are gaining increasing interest, with numerical methods proving to be useful in evaluating and predicting turbine performance. The study presents numerical results for a Darrieus turbine, showing good agreement with experimental results and highlighting the potential for faster and more cost-effective performance evaluation.
ABSTR A C T Renewable energies are getting ongoing growing interest and so are cross-flow turbines to harness water energy to produce electrical energy. Use of numerical methods to evaluate and predict this type of turbine performance can be of major help. This paper presents a Darrieus turbine numerical performance results. The present numerical method uses hydrodynamics theory applied to this turbine with three rotating blades, taking in consideration their relative angle of attack and hydrodynamic coefficients changes with the azimuthal angle. A comparison of these results with our experimental results is done for five water flow velocities (V = 0.43-0.73 m/s). The computer source code developed in this study allows determining this turbine torque, mechanical power and their coefficients. Good agreement between the numerical and experimental results is observed. For instance, for V = 0.73 m/s, the relative differences between the numerical and experimental maximal torque, me-chanical power and their coefficients are respectively equal to 1.85%, 5.33%, 1.85% and 1.85%. The maximal torque and power relative differences vary respectively from 1.33% to 4.76% and from-3.95% to 10.40% for the other flow velocities. This new approach could be very useful because of its merit of providing a good performance evaluation of cross-flow turbines with much less computing time and much lower cost than computational fluid dynamics software methods. (c) 2021 Elsevier Ltd. All rights reserved.

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