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 Design and analysis of an ocean current turbine performance assessment system.


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Type of Resource: text

Genre: Electronic Thesis or Dissertation

Date Issued: 2012

Publisher: Florida Atlantic University

Physical Form: electronic

Extent: xi, 108 p. : ill. (some col.)

Language(s): English

Summary: This thesis proposes a sensor approach for quantifying the hydrodynamic performance of Ocean Current Turbines (OCT), and investigates the influence of sensor-specific noise and sampling rates on calculated turbine performance. Numerical models of the selected sensors are developed, and then utilized to add stochastic measurement error to numerically-generated, non-stochastic OCT data. Numerically-generated current velocity and turbine performance measurements are used to quantify the relative influence of sensor-specific error and sampling limitations on sensor measurements and calculated OCT performance results. The study shows that the addition of sensor error alters the variance and mean of OCT performance metric data by roughly 7.1% and 0.24%, respectively, for four evaluated operating conditions. It is shown that sensor error results in a mean, maximum and minimum performance metric to Signal to Noise Ration (SNR) of 48.6% and 6.2%, respectively.

Identifier: 835953159 (oclc), 3359164 (digitool), FADT3359164 (IID), fau:4062 (fedora)

Note(s): by Matthew T. Young.Thesis (M.S.C.S.)--Florida Atlantic University, 2012.Includes bibliography.Mode of access: World Wide Web.System requirements: Adobe Reader.

Subject(s): Marine turbines -- Mathematical modelsFluid dynamicsStructural dynamicsStochastic processesRotors -- Design and construction -- Testing

Persistent Link to This Record: http://purl.flvc.org/FAU/3359164

Owner Institution: FAU



Autor: Young, Matthew T.

Fuente: http://fau.digital.flvc.org/islandora/object/fau%3A4062



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