Error analysis in wind turbine field testing

Conference · Mon Aug 01 00:00:00 EDT 1994

OSTI ID:10177860

McNiff, B ^[1]; Simms, D ^[2]

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1. McNiff Light Industries, Carlisle, MA (United States)
2. National Renewable Energy Lab., Golden, CO (United States)

In wind turbine field testing, one of the most important issues is understanding and accounting for data errors. Extended dynamic testing of wind turbines requires a thorough uncertainty analysis and a regimen of quality assurance steps in order to preserve accuracy. Test objectives need to be identified to determine the accuracy requirements of any data measurement, collection, and analysis process. Frequently, the uncertainty analysis reveals that the major sources of error can be allowed for with careful calibration and signal drift tracking procedures. This paper offers a basis for the discussion and development of a repeatable and accurate process to track errors and account for them in data processing.

• Research Organization: National Renewable Energy Lab., Golden, CO (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: AC36-83CH10093
• OSTI ID: 10177860
• Report Number(s): NREL/TP-441-7079; CONF-921049-11; ON: DE94011864; BR: WM1020000
• Resource Relation: Conference: Windpower `92,Seattle, WA (United States),19-23 Oct 1992; Other Information: PBD: Aug 1994
• Country of Publication: United States
• Language: English

Related Subjects

17 WIND ENERGY
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
WIND TURBINES
FIELD TESTS
QUALITY ASSURANCE
ERRORS
DATA COVARIANCES
REGRESSION ANALYSIS
DATA ANALYSIS
ACCURACY
EXTENDED DYNAMIC TESTING
UNCERTAINTY ANALYSIS
170602
990200
TURBINE DESIGN AND OPERATION
MATHEMATICS AND COMPUTERS