A comparative study: Predictive modeling of wind turbine blades

Kendra Van Buren, Sez Atamturktur

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The structural analysis of wind turbine blades is completed using vastly different computational modeling strategies with varying levels of model sophistication and detail. Typically, preference of one modeling strategy over the other is decided according to subjective judgment of the expert. The central question that arises is how to justify the chosen level of sophistication and detail through quantitative, objective and scientifically defendable metrics. This manuscript takes a step toward answering this question and investigates the necessary level of sophistication and detail needed while modeling the cross-section of wind turbine blades by: i) rigorously quantifying the model incompleteness resulting from simplifying assumptions and ii) comparing the predictive maturity index associated with alternative modeling strategies. The concept of predictive maturity is illustrated on a prototype blade. The incompleteness of five alternative models with varying sophistication in the cross section of the shell elements are assessed through model form error and predictive maturity index. While model form error is observed as constant for varying levels of sophistication, through the predictive maturity index, it is found that models with lesser sophistication may have predictive capabilities comparable to more sophisticated, computationally expensive models.

Original languageEnglish (US)
Pages (from-to)235-250
Number of pages16
JournalWind Engineering
Volume36
Issue number3
DOIs
StatePublished - Jun 1 2012

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology

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