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Robust Design with Imprecise Random Variables and Its Application in Hydrokinetic Turbine Optimization
Engineering Optimization
  • Zhen Hu
  • Xiaoping Du, Missouri University of Science and Technology
  • Nitin S. Kolekar
  • Arindam Banerjee, Missouri University of Science and Technology
Abstract
In robust design, uncertainty is commonly modelled with precise probability distributions. In reality, the distribution types and distribution parameters may not always be available owing to limited data. This research develops a robust design methodology to accommodate the mixture of both precise and imprecise random variables. By incorporating the Taguchi quality loss function and the minimax regret criterion, the methodology mitigates the effects of not only uncertain parameters but also uncertainties in the models of the uncertain parameters. Hydrokinetic turbine systems are a relatively new alternative energy technology, and both precise and imprecise random variables exist in the design of such systems. The developed methodology is applied to the robust design optimization of a hydrokinetic turbine system. The results demonstrate the effectiveness of the proposed methodology.
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
  • Alternative energy technologies,
  • Distribution parameters,
  • Hydrokinetic energy,
  • Minimax regret criterion,
  • Robust design methodologies,
  • Robust design optimization,
  • Robust designs,
  • Uncertainty,
  • Optimization,
  • Probability distributions,
  • Random variables,
  • Turbines
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2014 Taylor & Francis, All rights reserved.
Publication Date
1-1-2014
Citation Information
Zhen Hu, Xiaoping Du, Nitin S. Kolekar and Arindam Banerjee. "Robust Design with Imprecise Random Variables and Its Application in Hydrokinetic Turbine Optimization" Engineering Optimization Vol. 46 Iss. 3 (2014) p. 393 - 419 ISSN: 0305215X
Available at: http://works.bepress.com/xiaoping-du/69/