Application of a Genetic Algorithm to Wind Turbine Design-Reference-Cited by-同舟云学术

Application of a Genetic Algorithm to Wind Turbine Design

Published:1996-03-01 Issue:1 Volume:118 Page:22-28
ISSN:0195-0738
Container-title:Journal of Energy Resources Technology
language:en
Short-container-title:

Author:

Selig M. S.¹,Coverstone-Carroll V. L.²³

Affiliation:

1. 305 Talbot Laboratory

2. 305A Talbot Laboratory

3. Department of Aeronautical and Astronautical Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801-2935

Abstract

This paper presents an optimization method for stall-regulated horizontal-axis wind turbines. A hybrid approach is used that combines the advantages of a genetic algorithm with an inverse design method. This method is used to determine the optimum blade pitch and blade chord and twist distributions that maximize the annual energy production. To illustrate the method, a family of 25 wind turbines was designed to examine the sensitivity of annual energy production to changes in the rotor blade length and peak rotor power. Trends are revealed that should aid in the design of new rotors for existing turbines. In the second application, five wind turbines were designed to determine the benefits of specifically tailoring wind turbine blades for the average wind speed at a particular site. The results have important practical implications related to rotors designed for the Midwestern US versus those where the average wind speed may be greater.

Publisher

ASME International

Subject

Geochemistry and Petrology,Mechanical Engineering,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment

Link

http://asmedigitalcollection.asme.org/energyresources/article-pdf/118/1/22/5887347/22_1.pdf

Reference18 articles.

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2. Goldberg, D. E., 1989, Genetic Algorithms: In Search, Optimization and Machine Learning, Addison-Wesley Publishing Company, Inc. Reading, MA.

3. Hibbs, B., and Radkey, R. L., 1983, “Calculating Rotor Performance with the Revised PROP Computer Code,” Horizontal-Axis Wind System Rotor Performance Model Comparison—A Compendium, Wind Energy Research Center, Rockwell International, Rocky Flats Plant, Golden, CO, RFP-3508, UC-60.

4. Holland, J. H., 1992, Adaptation in Natural and Artificial Systems, The MIT Press, Cambridge, MA.

5. Ostowari C. , and NaikD., 1984, “Post Stall Studies of Untwisted Varying Aspect Ratio Blades with an NACA 4415 Airfoil Section—Part I,” Wind Engineering, Vol. 8, No. 3, pp. 176–194.

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