Application of a Monte Carlo Optimization Technique to a Cluster of Wind Turbines

[+] Author and Article Information
P. A. Crosby

Department of Mechanical Engineering, University of Hawaii, Kailua, Hawaii 96734

J. Sol. Energy Eng 109(4), 330-336 (Nov 01, 1987) (7 pages) doi:10.1115/1.3268225 History: Received May 01, 1985; Online November 11, 2009


An optimization process based on Monte Carlo sampling of the variables of the objective function is developed. The technique is applied to a grouping of wind turbine generators. The permissible dimensions of the wind turbines and the range of spacing between adjacent machines allows a search for a maximum profit over a wide mix of system configurations. The computer program for the optimization algorithm finds cluster configurations for maximum profit with a high degree of certainty for the relatively simple cost and design constraints used in the model.

Copyright © 1987 by ASME
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