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TECHNICAL PAPERS

Optimal Design of Horizontal-Axis Wind Turbines Using Blade-Element Theory and Evolutionary Computation

[+] Author and Article Information
Ernesto Benini, Andrea Toffolo

Dipartimento di Ingegneria Meccanica, Università di Padova, Via Venezia 1, 35131 Padova, Italy

J. Sol. Energy Eng 124(4), 357-363 (Nov 08, 2002) (7 pages) doi:10.1115/1.1510868 History: Received August 01, 2001; Revised July 01, 2002; Online November 08, 2002
Copyright © 2002 by ASME
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References

Fuglsang, P. L., and Madsen, H. Å., 1995, “A Design Study of a 1 MW Stall Regulated Rotor,” Risø-R-799(EN), Risø National Laboratory, Roskilde, Denmark.
Morgan, C. A., and Garrad A. D., 1988, “The Design of Optimum Rotors for Horizontal Axis Wind Turbines,” Wind Energy Conversion, Proc. of 1988 Tenth BWEA Wind Energy Conf., D. J. Milborrow (ed.), Mechanical Engineering Publications Ltd., London, pp. 143–147.
Belessis, M. A., Stamos, D. G., and Voutsinas, S. G., 1996, “Investigation of the Capabilities of a Genetic Optimization Algorithm in Designing Wind Turbine Rotors,” Proc. European Union Wind Energy Conf. and Exhibition, Goteborg, Sweden, pp. 124–127.
Selig,  M. S., and Coverstone-Carroll,  V. L., 1996, “Application of a Genetic Algorithm to Wind Turbine Design,” ASME J. Energy Resour. Technol., 118(1), pp. 22–28.
Giguère, P., Selig, M. S., and Tangler, J. L., 1999, “Blade Design Trade-Offs Using Low-Lift Airfoils for Stall-Regulated HAWTs,” NREL/CP-500-26091, National Renewable Energy Laboratory, Golden, CO.
Fuglsang,  P., and Madsen,  H. Å., 1999, “Optimization Method for Wind Turbine Rotors,” J. Wind. Eng. Ind. Aerodyn., 80, pp. 191–206.
Goldberg, D. E., 1989, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, New York.
Schwefel, H. P., 1995, Evolution and Optimum Seeking, John Wiley & Sons.
Wilson, R. E., and Walker, S. N., 1984, Performance Analysis of Horizontal Axis Wind Turbines, Oregon State Univ., Corvallis, OR.
Spera, D. A. (ed.), 1995, Wind Turbine Technology, American Society of Mechanical Engineers, New York.
Bertagnolio, F., Sørensen, N., Johansen, J., and Fuglsang, P., 2001, Wind Turbine Airfoil Catalogue, Risø-R-1280(EN), Risø National Laboratory, Roskilde, Denmark.
Corrigan, J. J., and Schillings, J. J., 1994, “Empirical Model for Stall Delay Due to Rotation,” American Helicopter Society Aeromechanics Specialists Conf., San Francisco, CA.
Raj, N., and Selig, M. S., 1998, “Capabilities of WTPREP for Blade Airfoil Data for HAWTs,” American Wind Energy Association WINDPOWER 1998 Conf., Bakersfield, CA.
Toffolo,  A., and Benini,  E., 2000, “Genetic Diversity as an Objective in Evolutionary Algorithms,” Evol. Comput., (submitted for publication).

Figures

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Control volume considered for the optimization of HAWTs
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Velocity triangles at an arbitrary radius r of an HAWT
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Bezier curves describing chord and twist distributions
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Shell thickness distribution
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Model of hub profile for shell thickness calculation
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Scheme of the multi-objective evolutionary algorithm used in the present work
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Pareto fronts obtained for different turbine rated powers and detail of the comparison with commercial turbines (filled markers)
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Features of the optimized HAWTs (filled markers represent commercial turbines)
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Chord and twist distributions of the optimized HAWTs

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