Logo image
Scheduling and conducting power performance testing of a small wind turbine
Journal article   Open access   Peer reviewed

Scheduling and conducting power performance testing of a small wind turbine

J. Whale, M.P. McHenry and A. Malla
Renewable Energy, Vol.55, pp.55-61
2013
pdf
power_performance_testing_of_a_small_wind_turbine.pdfDownloadView
Author’s Version Open Access
url
Link to Published Version *Subscription may be requiredView

Abstract

The global growth in small wind turbine (SWT) markets and in the number of SWT manufacturers has brought about an urgent need for more rigorous testing of SWTs in order to ensure safety, reliability and performance. This work presents modelling of the wind resource at the Australian National Small Wind Turbine Centre (NSWTC) test site to give insight into the scope and scheduling of power performance tests, and assess testing completion requirements for national and international SWT performance standards. Wind modelling of the long-term wind resource at the site was used to guide the NSWTC testing program and develop a tool to provide recommendations regarding suitable months for testing particular turbines. The predictions from the tool are compared to the results of testing a SOMA 1000 small wind turbine. The results indicate that current testing standards need to specify more than 10 min worth of data in each bin in order to reduce uncertainty errors in power curves, particularly at higher wind speeds and during furling and unfurling of the turbine. Furthermore, this work supports observations that there are often notable discrepancies between published SWT manufacturer power curves and test results at high wind speeds.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#7 Affordable and Clean Energy

Source: InCites

Metrics

403 File views/ downloads
111 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Citation topics
4 Electrical Engineering, Electronics & Computer Science
4.18 Power Systems & Electric Vehicles
4.18.296 Energy Forecasting
Web Of Science research areas
Energy & Fuels
Green & Sustainable Science & Technology
ESI research areas
Engineering
Logo image