Towed-water power generators are used in long-distance sailing to generate power for charging battery banks. A basic configuration consists of a spinning turbine (propeller) towed behind the boat and attached to an alternator or generator via a torque line. In the present work, a series of seven inch diameter, six inch pitch turbines were tested both on the water and using computational fluid dynamics techniques. Turbine rotation rates for both an alternator and generator charging a 12V, 80 AH battery were measured for the on-water tests at a nominal towing speed of 3 m/s. Turbine torque vs. rotation rate results obtained by solving the Reynolds-averaged Navier-Stokes equations were plotted against generator and alternator torque curves to predict operating rotations per minute and associated power generation. Predicted rotation rate results were in reasonable agreement with those measured on the water.
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ASME 2013 Fluids Engineering Division Summer Meeting
July 7–11, 2013
Incline Village, Nevada, USA
Conference Sponsors:
- Fluids Engineering Division
ISBN:
978-0-7918-5554-6
PROCEEDINGS PAPER
Computational Fluid Dynamics Analysis of Towed-Water Power Generators
Robert Spall,
Robert Spall
Utah State University, Logan, UT
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Robert Maughan,
Robert Maughan
Utah State University, Logan, UT
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Warren Phillips
Warren Phillips
Utah State University, Logan, UT
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Robert Spall
Utah State University, Logan, UT
Robert Maughan
Utah State University, Logan, UT
Warren Phillips
Utah State University, Logan, UT
Paper No:
FEDSM2013-16035, V01AT03A002; 7 pages
Published Online:
December 13, 2013
Citation
Spall, R, Maughan, R, & Phillips, W. "Computational Fluid Dynamics Analysis of Towed-Water Power Generators." Proceedings of the ASME 2013 Fluids Engineering Division Summer Meeting. Volume 1A, Symposia: Advances in Fluids Engineering Education; Advances in Numerical Modeling for Turbomachinery Flow Optimization; Applications in CFD; Bio-Inspired Fluid Mechanics; CFD Verification and Validation; Development and Applications of Immersed Boundary Methods; DNS, LES, and Hybrid RANS/LES Methods. Incline Village, Nevada, USA. July 7–11, 2013. V01AT03A002. ASME. https://doi.org/10.1115/FEDSM2013-16035
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