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Effects of Uncertain Land Availability, Wind Shear, and Cost on Wind Farm Layout

[+] Author Affiliations
Le Chen, Erin MacDonald

Iowa State University, Ames, IA

Paper No. DETC2013-13433, pp. V03AT03A025; 13 pages
  • ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 3A: 39th Design Automation Conference
  • Portland, Oregon, USA, August 4–7, 2013
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5588-1
  • Copyright © 2013 by ASME


The robust optimization presented in this paper is formulated to assist in early-stage wind farm development. It can help wind farm developers predict project viability and can help landowners predict where turbines will be placed on their land. A wind farm layout is optimized under multiple sources of uncertainty. Landowner participation is represented with a novel uncertain model of willingness-to-accept monetary compensation. An uncertain wind shear parameter and economies-of-scale cost reduction parameter are also included. Probability Theory, Latin Hypercube Sampling, and Compromise Programming are used to form the robust design problem and minimize the two objectives: the normalized mean and standard deviation of Cost-of-Energy. The results suggest that some landowners that will only accept high levels of compensation are worth pursuing, while others are not.

Copyright © 2013 by ASME



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