scholarly journals Scheduling and conducting power performance testing of a small wind turbine

2013 ◽  
Vol 55 ◽  
pp. 55-61 ◽  
Author(s):  
J. Whale ◽  
M.P. McHenry ◽  
A. Malla
Keyword(s):  
Wind Turbine ◽  
Performance Testing ◽  
Power Performance ◽  
Small Wind Turbine

Small Wind Turbine Power Performance Testing with Uncertainty Analysis

2014 ◽  
Vol 875-877 ◽  
pp. 1944-1948
Author(s):  
Wen Lei Bai ◽  
Byun Gik Chang ◽  
Gerald Chen ◽  
Ken Starcher ◽  
David Carr ◽  
...  
Keyword(s):  
Wind Speed ◽  
Uncertainty Analysis ◽  
Wind Turbine ◽  
Performance Testing ◽  
Air Pressure ◽  
Power Performance ◽  
Small Wind Turbine ◽  
Uncertainty Sources ◽  
Measurement Uncertainties

Wind turbine power performance testing consists of power, temperature, air pressure and wind speed measurements collected for this study during which measuring uncertainties are involved. Due to the measurement uncertainties, the results of power performance testing are affected; therefore, it is necessary to consider the measurement uncertainties for evaluating the accuracy of turbine testing. For this purpose of this study, uncertainty analysis for one 5kW wind turbine power performance testing was conducted. The results of uncertainty analysis indicated that the uncertainty negatively affected the validity of conclusions drawn from power performance testing, and the uncertainty sources are various in different wind speed bins.

scholarly journals Effect of Ambient Reynolds Number on Small Wind Turbine Subjected to Low Wind Speed Conditions

2021 ◽  
Vol 12 (2) ◽  
pp. 223-231
Author(s):  
Joel Mbwiga ◽  
Cuthbert Z Kimambo ◽  
Joseph Kihedu
Keyword(s):  
Reynolds Number ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Reynolds Numbers ◽  
Design Parameters ◽  
Power Performance ◽  
Airfoil Surface ◽  
Small Wind Turbine ◽  
Low Wind Speed ◽  
The Difference

Wind flow over the airfoil surface is adversely affected by the differences between the design and ambient values of a dimensionless quantity called Reynolds number. Wind turbine designed for high Reynolds Number shows lower maximum power performance when installed in low-speed wind regime. Tanzanian experience shows that some imported modern wind turbines depict lower power performance compared to the drag-type locally manufactured wind turbines. The most probable reason is the difference between design and local ambient Reynolds numbers. The turbine design parameters have their properties restricted to the range of Reynolds numbers for which the turbine was designed for. When a wind turbine designed for a certain range of Reynolds numbers is made to operate in the Reynolds number out of that range, it behaves differently from the embodied design specifications. The small wind turbine of higher Reynolds number will suffer low lift forces with probably occasional stalls.  

scholarly journals The Power Performance Testing for 3MW Wind turbine System

2011 ◽  
Vol 31 (4) ◽  
pp. 19-26 ◽  
Author(s):  
Suk-Whan Ko ◽  
Moon-Seok Jang ◽  
Jong-Po Park ◽  
Yoon-Su Lee
Keyword(s):  
Wind Turbine ◽  
Performance Testing ◽  
Power Performance ◽  
Wind Turbine System

System Control Based on a State Model Specifying, Design-In and Measuring of the Availability

2002 ◽  
Author(s):  
H. Richters ◽  
L. Rademakers ◽  
B. Rajsekhar ◽  
H. Braam ◽  
C. Versteegh ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Design Process ◽  
Return On Investment ◽  
Performance Testing ◽  
The State ◽  
State Model ◽  
System Control ◽  
Clear Definition ◽  
Power Performance ◽  
Operation Conditions

In the IEC 61400-12 standard “Wind turbine power performance testing”, the availability of a wind turbine is defined as: “the ratio of the total number of hours during a certain period, excluding the number of hours that the wind turbine could not be operated due to maintenance or fault situations, to the total number of hours in the period, expressed as a percentage” [1]. It seems to be a clear definition, however in practice all parties involved, and often commercially bounded by guarantees, cannot interpret it unambiguously. This has all to do with the fact that the actual measuring and tracking is not done in a structured manner, mainly because it is not clear what the various (sub-)states of a wind turbine can be, and which sub-states have to be considered as available or not, and also for discerning who is liable. Moreover, due to heavy operation conditions and potential unintended built-in weaknesses, the ultimate availability of a wind turbine measured over the lifetime of 20 years, can easily tail off by 10% to 25%. Directly related to availability, the return on investment (ROI) will even decrease with a higher proportional part. Consequently, availability is a serious issue for manufacturers and investors, and may have extensive commercial implications. To better understand and improve the availability, from the beginning of the design process, this article presents the ‘State Model for Wind Turbines’. It underpins the strategy to optimize the availability versus the total costs. Furthermore the article provides some practical tools for specifying, design-in and measuring of the final availability.

scholarly journals SISTEM AKUISISI DATA PENGUJIAN KINERJA DAYA TURBIN ANGIN MENGGUNAKAN FASILITAS TEROWONGAN ANGIN

2016 ◽  
Vol 17 (2) ◽  
pp. 129
Author(s):  
Subagyo Subagyo ◽  
Muhamad Muflih ◽  
Andre Yulian Atmojo
Keyword(s):  
Wind Tunnel ◽  
Data Acquisition ◽  
Wind Turbine ◽  
Real Time ◽  
Performance Testing ◽  
Data Acquisition System ◽  
Font Size ◽  
Power Performance ◽  
Turbine Performance ◽  
User Friendly

<p align="left"> </p><p><strong><span style="font-size: xx-small;">Abstrak </span></strong></p><p>Kinerja daya sebuah turbin angin direpresentasikan sebagai grafik daya keluaran turbin angin terhadap kecepatan angin. Pengujian kinerja turbin selain diuji di lapangan dapat pula dilakukan dengan menggunakan fasilitas terowongan angin. Tujuan penelitian ini adalah mengetahui sebuah sistem akuisisi data yang handal yang diperlukan dalam pengujian kinerja turbin angin ini. Konsep akuisisi data yang <em><span style="font-family: Arial,Arial; font-size: xx-small;"><em><span style="font-family: Arial,Arial; font-size: xx-small;">user friendly</span></em></span></em><span style="font-family: Arial,Arial; font-size: xx-small;"><span style="font-family: Arial,Arial; font-size: xx-small;">, </span></span><em><span style="font-family: Arial,Arial; font-size: xx-small;"><em><span style="font-family: Arial,Arial; font-size: xx-small;">real time</span></em></span></em><span style="font-family: Arial,Arial; font-size: xx-small;"><span style="font-family: Arial,Arial; font-size: xx-small;">, terdistribusi dan terpadu berbasis </span></span><em><span style="font-family: Arial,Arial; font-size: xx-small;"><em><span style="font-family: Arial,Arial; font-size: xx-small;">embedded hardware </span></em></span></em><span style="font-family: Arial,Arial; font-size: xx-small;">diaplikasikan. Konsep ini menghasilkan proses akuisisi data yang sederhana dan praktis tanpa meninggalkan kaidah pengujian kinerja daya sesuai standar IEC 61400-12-1. </span></p><p>Kata kunci<strong><span style="font-size: xx-small;"><span style="font-family: Arial,Arial; font-size: xx-small;"><span style="font-family: Arial,Arial; font-size: xx-small;">: data akusisi, terowongan angin, turbin angin, kinerja. </span></span></span></strong><strong><strong><em></em></strong></strong></p><p>Abstract</p><strong><em></em></strong><p>The wind turbine power performance is represented by the ratio of the wind turbine output power to the wind speed. Besides on-site test, the turbine performance can also be tested by using wind tunnel facilities.The purpose of this study was to determine a reliable data acquisition system that is required in this wind turbine performance testing. The concept of a user friendly, real-time, distributed-integrated and embedded hardware-based data acquisition system is applied. This concept leads to a simple and practical data acquisition process without leaving main rules of power performance testing according to IEC 61400-12-1 standard.</p><strong><strong></strong></strong><p>Keywords<span style="font-family: Arial,Arial; font-size: xx-small;">: data acquisition, wind tunnel, wind turbine, power performance. </span></p>

scholarly journals Power Performance Measurements of the NREL CART-2 Wind Turbine Using a Nacelle-Based Lidar Scanner

2014 ◽  
Vol 31 (10) ◽  
pp. 2029-2034 ◽  
Author(s):  
Andreas Rettenmeier ◽  
David Schlipf ◽  
Ines Würth ◽  
Po Wen Cheng
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Wind Shear ◽  
Electrical Power ◽  
Performance Testing ◽  
Performance Measurements ◽  
Power Performance ◽  
Lidar System ◽  
Scanning Lidar ◽  
Electrical Power Output

Abstract Different certification procedures in wind energy, such as power performance testing or load estimation, require measurements of the wind speed, which is set in relation to the electrical power output or the turbine loading. The wind shear affects the behavior of the turbine as hub heights and rotor diameters of modern wind turbines increase. Different measurement methods have been developed to take the wind shear into account. In this paper an approach is presented where the wind speed is measured from the nacelle of a wind turbine using a scanning lidar system. The measurement campaign was performed on the two-bladed Controls Advanced Research Turbine (CART-2) at the National Wind Technology Center in Colorado. The wind speed of the turbine inflow was measured and recalculated in three different ways: using an anemometer installed on a meteorological mast, using the nacelle-based lidar scanner, and using the wind turbine itself. Here, the wind speed was recalculated from turbine data using the wind turbine as a big horizontal anemometer. Despite the small number of useful data, the correlation between this so-called rotor effective wind speed and the wind speed measured by the scanning nacelle-based lidar is high. It could be demonstrated that a nacelle-based scanning lidar system provides accurate measurements of the wind speed converted by a wind turbine. This is a first step, and it provides evidence to support further investigations using a much more extensive dataset and refines the parameters in the measurement process.

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