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Published December 2024 | Published
Journal Article

An experimental evaluation of the interplay between geometry and scale on cross-flow turbine performance

Abstract

Cross-flow turbines harness kinetic energy in wind or moving water. Due to their unsteady fluid dynamics, it can be difficult to predict the interplay between aspects of rotor geometry and turbine performance. This study considers the effects of three geometric parameters: the number of blades, the preset pitch angle, and the chord-to-radius ratio. The relevant fluid dynamics of cross-flow turbines are reviewed, as are prior experimental studies that have investigated these parameters in a more limited manner. Here, 223 unique experiments are conducted across an order of magnitude of diameter-based Reynolds numbers (≈8×10⁴–8×10⁵) in which the performance implications of these three geometric parameters are evaluated. In agreement with prior work, maximum performance is generally observed to increase with Reynolds number and decrease with blade count. The broader experimental space clarifies parametric interdependencies; for example, the optimal preset pitch angle is increasingly negative as the chord-to-radius ratio increases. As these experiments vary both the chord-to-radius ratio and blade count, the performance of different rotor geometries with the same solidity (the ratio of total blade chord to rotor circumference) can also be evaluated. Results demonstrate that while solidity can be a poor predictor of maximum performance, across all scales and tested geometries it is an excellent predictor of the tip-speed ratio corresponding to maximum performance. Overall, these results present a uniquely holistic view of relevant geometric considerations for cross-flow turbine rotor design and provide a rich dataset for validation of numerical simulations and reduced-order models.

Copyright and License

© 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

Acknowledgement

Funding for this research was provided by the U.S. Navy’s Naval Facilities Engineering Systems Command (NAVFAC) under N0002410D6318/N0002418F8702. Support from the Alice C. Tyler Charitable Trust is gratefully acknowledged for upgrades to the flume at UW that allow higher flow rates, heating, and cooling. Hannah Ross was supported by a National Science Foundation Graduate Research Fellowship, United States (DGE-1256082). The authors would like to thank Peter Bachant for developing the turbine test bed at the University of New Hampshire, as well as guidance during data acquisition. Abigale Snortland, Ari Athair, Owen Williams, and Robert Thresher are thanked for several insightful discussions related to the effects of the geometric parameters studied in this work. Many thanks to Mark Miller, Thorsten Stoesser, Robert Howell, and Daniel Araya for their help in populating Table 1 with parameters omitted in the underlying publications.

Contributions

Aidan Hunt: Software, Validation, Formal analysis, Investigation, Writing – original draft, Writing – review & editing, Visualization. Benjamin Strom: Conceptualization, Methodology, Investigation, Writing – original draft, Writing – review & editing. Gregory Talpey: Validation, Formal analysis, Data curation, Investigation, Writing – original draft, Writing – review & editing, Visualization. Hannah Ross: Investigation, Writing – review & editing. Isabel Scherl: Investigation, Writing – review & editing. Steven Brunton: Supervision, Writing – review & editing. Martin Wosnik: Resources, Writing – review & editing. Brian Polagye: Conceptualization, Methodology, Resources, Writing – original draft, Writing – review & editing, Supervision, and Funding acquisition.

Data Availability

The dataset supporting this work is openly available in the Dryad digital repository at http://doi.org/10.5061/dryad.mpg4f4r8p

Conflict of Interest

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Benjamin Strom reports a relationship with XFlow Energy that includes: board membership, employment, and equity or stocks.

Additional details

Created:
October 11, 2024
Modified:
October 11, 2024