A method to assess the performance of small wind turbines

Authors

  • W.-G. Früh Author

DOI:

https://doi.org/10.24084/repqj21.436

Keywords:

Small Wind Turbines,, Performance Assessment, Principal Component Analysis

Abstract

While large wind farms are well monitored, with a wealth of data provided through a SCADA system, the only information about the behaviour of small wind turbines is often only through the metered electricity production. Given the variable electricity output, it is difficult to ascertain whether a particular electricity production in a metering period is the result of the turbine operating normally, or if a fault is resulting in a production less than possible. This paper presents a method to correlate metered electricity output from a set of 5 kW wind turbines with weather information from a weather station some distance from the turbine. That correlation will then be classified into ‘expected’ and ‘unusual’ performance using Principal Component Analysis.

Author Biography

  • W.-G. Früh

    Institute of Mechanical, Process and Energy Engineering

    Heriot-Watt University, Riccarton, Edinburgh EH14 4A (Scotland, UK)

    Phone/Fax number: +0044 131 451 4374, e-mail: 

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Published

2024-01-08

Issue

Section

Articles