scholarly journals An investigation of the impact of wind speed and turbulence on small wind turbine operation and fatigue loads

2020 ◽  
Vol 146 ◽  
pp. 87-98 ◽  
Author(s):  
Anup KC ◽  
Jonathan Whale ◽  
Samuel P. Evans ◽  
Philip D. Clausen
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Small Wind Turbine ◽  
Fatigue Loads ◽  
The Impact

Design of Small Wind Turbine

2008 ◽  
Author(s):  
R. S. Amano ◽  
Ryan Malloy
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Wind Direction ◽  
Pitch Angle ◽  
Bridge Circuit ◽  
Small Wind Turbine ◽  
Swash Plate ◽  
Wind Vane ◽  
Blade Pitch Angle

The project has been completed, and all of the aforementioned objectives have been achieved. An anemometer has been constructed to measure wind speed, and a wind vane has been built to sense wind direction. An LCD module has been acquired and has been programmed to display the wind speed and its direction. An H-Bridge circuit was used to drive a gear motor that rotated the nacelle toward the windward direction. Finally, the blade pitch angle was controlled by a swash plate mechanism and servo motors installed on the generator itself. A microcontroller has been programmed to optimally control the servo motors and gear motor based on input from the wind vane and anemometer sensors.

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 Sensitivity analysis of the effect of wind characteristics and turbine properties on wind turbine loads

2019 ◽  
Vol 4 (3) ◽  
pp. 479-513 ◽  
Author(s):  
Amy N. Robertson ◽  
Kelsey Shaler ◽  
Latha Sethuraman ◽  
Jason Jonkman
Keyword(s):  
Sensitivity Analysis ◽  
Wind Turbine ◽  
Lift Coefficient ◽  
International Electrotechnical Commission ◽  
Individual Parameter ◽  
Aerodynamic Properties ◽  
Fatigue Loads ◽  
Sensitive Parameters ◽  
The Impact ◽  
Inflow Conditions

Abstract. Proper wind turbine design relies on the ability to accurately predict ultimate and fatigue loads of turbines. The load analysis process requires precise knowledge of the expected wind-inflow conditions as well as turbine structural and aerodynamic properties. However, uncertainty in most parameters is inevitable. It is therefore important to understand the impact such uncertainties have on the resulting loads. The goal of this work is to assess which input parameters have the greatest influence on turbine power, fatigue loads, and ultimate loads during normal turbine operation. An elementary effects sensitivity analysis is performed to identify the most sensitive parameters. Separate case studies are performed on (1) wind-inflow conditions and (2) turbine structural and aerodynamic properties, both cases using the National Renewable Energy Laboratory 5 MW baseline wind turbine. The Veers model was used to generate synthetic International Electrotechnical Commission (IEC) Kaimal turbulence spectrum inflow. The focus is on individual parameter sensitivity, though interactions between parameters are considered. The results of this work show that for wind-inflow conditions, turbulence in the primary wind direction and shear are the most sensitive parameters for turbine loads, which is expected. Secondary parameters of importance are identified as veer, u-direction integral length, and u components of the IEC coherence model, as well as the exponent. For the turbine properties, the most sensitive parameters are yaw misalignment and outboard lift coefficient distribution; secondary parameters of importance are inboard lift distribution, blade-twist distribution, and blade mass imbalance. This information can be used to help establish uncertainty bars around the predictions of engineering models during validation efforts, and provide insight to probabilistic design methods and site-suitability analyses.

scholarly journals The Impact of the Wind Speed on the Dynamics of the Wind Energy System

2016 ◽  
Vol 22 (3) ◽  
pp. 628-633
Author(s):  
Florenţiu Deliu ◽  
Petrică Popov ◽  
Paul Burlacu
Keyword(s):  
Diesel Engine ◽  
Wind Speed ◽  
Wind Energy ◽  
Wind Turbine ◽  
Electric Power ◽  
Synchronous Generator ◽  
Energy System ◽  
Maximum Efficiency ◽  
Wind Energy System ◽  
The Impact

Abstract The paper analyzes the operation of electric power subsystem consisting of the naval marine wind turbine, the synchronous generator and the electric accumulators at linear and exponential variations of wind speed. The management system is analyzed using various functions of wind speed variation. This subsystem requires to capture the wind energy with maximum efficiency, so a diesel engine and a synchronous generator subsystem can be used only as a complementary source of energy.

Feasibility of Small Wind Turbine via Net Metering in Greek Islands

2021 ◽  
Vol 1 (1) ◽  
pp. 23-28
Author(s):  
D. Daskalaki ◽  
J. Fantidis ◽  
P. Kogias
Keyword(s):  
Wind Speed ◽  
Greenhouse Gases ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Average Wind Speed ◽  
Small Wind Turbine ◽  
Net Metering ◽  
Average Wind ◽  
Environmental Criteria ◽  
Small Wind Turbines

The evaluation of a small 3kW wind turbine through the net metering scheme is studied in this article. 14 near to sea locations in Greece examined with the help of the RetScreen expert software. The simulations based on electrical, financial and environmental criteria. Siros with average wind speed of 6.93 m/s is the most attractive area while Iraklion is the least attractive location. According to the results the simulated project is already economically sound and a small wind turbine in the Greek islands will become a progressively an even more financially source of electricity in Greece. Finally yet importantly is the fact that the use of small wind turbines has as a result that significant amount of Greenhouse gases do not reradiate into the topical atmosphere.

Performance Evaluation of a Novel Small Wind Turbine: UAE Case Study

2016 ◽  
Author(s):  
Sayem Zafar ◽  
Mohamed Gadalla ◽  
Mohammad Ismail Al-Naiser
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
United Arab Emirates ◽  
Electrical Power ◽  
Electrical Efficiency ◽  
Wind Speeds ◽  
Small Wind Turbine ◽  
Sufficient Power ◽  
Personal Use ◽  
Domestic Power

A small personal use wind turbine (PWT) is studied and tested for power evaluation under different wind speed conditions. The wind turbine has small blades with FX 63137 airfoil. The blades are non-tapered and non-twisted to be economical and easy to manufacture. The blade span is 1.52 m which makes it small enough for personal domestic use yet big enough to produce sufficient power. The PWT size satisfies the requirements for rooftop small wind turbine for domestic power generation. The study is conducted in United Arab Emirates (UAE) and the PWT is installed in an open area to test under the natural conditions. Readings are recorded for wind speeds, generator RPMs, current and voltage for different timings and conditions. The PWT is tested at a variety of wind speeds to establish the operating range of the wind turbine. Using the calculated electrical power and wind power values, corresponding electrical efficiency is determined. Results are evaluated for electrical power and electrical efficiency against wind speed. The result suggests better performance and efficiency for continuous wind speed conditions. It also shows the PWT can effectively generate power under the conditions found in UAE.

scholarly journals Monitoring and Modeling Roof-Level Wind Speed in a Changing City

Atmosphere ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 87
Author(s):  
Kathrin Baumann-Stanzer ◽  
Sirma Stenzel ◽  
Gabriele Rau ◽  
Martin Piringer ◽  
Felix Feichtinger ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Wind Turbine ◽  
Urban Areas ◽  
Dispersion Model ◽  
Flow Direction ◽  
Energy Yield ◽  
Wind Speeds ◽  
Small Wind Turbine ◽  
Roof Level

Results of an observational campaign and model study are presented demonstrating how the wind field at roof-level in the urban area of Vienna changed due to the construction of a new building nearby. The investigation was designed with a focus on the wind energy yield of a roof-mounted small wind turbine but the findings are also relevant for air dispersion applications. Wind speed profiles above roof top are simulated with the complex fluid dynamics (CFD) model MISKAM (Mikroskaliges Klima- und Ausbreitungsmodell, microscale climate and dispersion model). The comparison to mast measurements reveals that the model underestimates the wind speeds within the first few meters above the roof, but successfully reproduces wind conditions at 10 m above the roof top (corresponding to about 0.5 times the building height). Scenario simulations with different building configurations at the adjacent property result in an increase or decrease of wind speed above roof top depending on the flow direction at the upper boundary of the urban canopy layer (UCL). The maximum increase or decrease in wind speed caused by the alternations in building structure nearby is found to be in the order of 10%. For the energy yield of a roof-mounted small wind turbine at this site, wind speed changes of this magnitude are negligible due to the generally low prevailing wind speeds of about 3.5 m s−1. Nevertheless, wind speed changes of this order could be significant for wind energy yield in urban areas with higher mean wind speeds. This effect in any case needs to be considered in siting and conducting an urban meteorological monitoring network in order to ensure the homogeneity of observed time-series and may alter the emission and dispersion of pollutants or odor at roof level.

Research the Influencing Factors of the Low Wind Speed Wind Turbine Fatigue Loads

2014 ◽  
Vol 1008-1009 ◽  
pp. 164-168
Author(s):  
Fa Ming Wu ◽  
Lei Wang ◽  
Dian Wang ◽  
Jia Bao Jing
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Turbulence Intensity ◽  
Fatigue Load ◽  
Annual Average ◽  
Average Wind Speed ◽  
Low Wind Speed ◽  
Air Density ◽  
Average Wind ◽  
Fatigue Loads

This paper analyzes three main factors (turbulence intensity, air density, annual average wind speed ) that influence the low wind speed wind turbine fatigue loads, In order to analyze the influence of each main parameters how to affect the fatigue load of low wind speed wind turbine, using a 2000kW wind turbine as an example on the simulation test , 3 turbulence, 4 air density and 7 annual average wind speed were employed. The results show that, with the air density, turbulence intensity and the annual average wind speed increases, the wind turbine of fatigue load increase in rule approximately. Based on the above rule, it can reduce fatigue loads and prolong the life of wind turbine in design optimization of low wind speed wind turbine and sit choice.

Sign in / Sign up

Export Citation Format

Share Document