Design of a Low-Cost Wind Turbine Controller for Decentralized Rural Electrification Through the Small Wind Turbine

2019 ◽  
pp. 116-127
Author(s):  
Ababacar Ndiaye ◽  
Mohamed El Ali ◽  
Salif Sow ◽  
Cheikh M. F. Kébé ◽  
Vincent Sambou ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Low Cost ◽  
Rural Electrification ◽  
Small Wind Turbine

Methods engineering for designing a didactic low cost small wind turbine generator

CCCA12 ◽  
2012 ◽  
Author(s):  
Azahel Trevifio ◽  
Lourdes Y. Garcia ◽  
David Lara ◽  
Jose O. Coronado ◽  
Rabhi Abdelhamid
Keyword(s):  
Wind Turbine ◽  
Low Cost ◽  
Turbine Generator ◽  
Wind Turbine Generator ◽  
Small Wind Turbine

scholarly journals Catchment Based Aerodynamic Performance Analysis of Small Wind Turbine Using a Single Blade Concept for a Low Cost of Energy

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5838
Author(s):  
Hailay Kiros Kelele ◽  
Torbjørn Kirstian Nielsen ◽  
Lars Froyd ◽  
Mulu Bayray Kahsay
Keyword(s):  
Wind Turbine ◽  
Energy Production ◽  
Low Cost ◽  
Aerodynamic Performance ◽  
Power Coefficient ◽  
Design Parameters ◽  
Wind Condition ◽  
Small Wind Turbine ◽  
Cost Of Energy ◽  
Wind Potential

For low and medium wind conditions, there is a possibility to harness maximum wind potential reducing the cost of energy by employing catchment-based wind turbine designs. This paper aims to study catchment-based small wind turbine aerodynamic performance for improved efficiency and reduced cost of energy. Hence, design parameters are considered based on specific conditions within a catchment area. The bins and statistical methods implemented with Weibull distribution of wind data for selected sites to characterize the wind conditions and a weighted average method proposed to create representative wind conditions implementing a single blade concept. The blade element method was applied using Matlab code (version R2017a, MathWorks Inc., Natick, MA, US) for aerodynamic design and analysis, and computational fluid dynamics employed using ANSYS—Fluent (version 18.1, ANSYS Inc., Canonsburg, PA, USA) for validation. The performance of the designed blade is evaluated based on annual energy production, capacity factor and power coefficient. Then, for site-specific wind conditions, yearly energy production, and relative cost of energy are examined against rated power. Appropriate rated power for a low cost of energy identified and performance measures evaluated for each site. As a result, a maximum power coefficient of around 51.8% achieved at a design wind speed of 10 m/s, and higher capacity factors of 28% and 50.9% respectively attained for the low and high wind conditions at the proposed rated powers. Therefore, for different wind condition sites, enhanced performance at a low cost of energy could be achieved using a single blade concept at properly selected rated powers employing suitable design conditions and procedures.

Design and Implementation of Low-Cost Safety system for Small Wind Turbine

2020 ◽  
Author(s):  
Pawel Rogowski ◽  
Malgorzata Prociow ◽  
Marcin Miller ◽  
Michal Kulak ◽  
Michal Lipian ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Low Cost ◽  
Safety System ◽  
Design And Implementation ◽  
Small Wind Turbine

scholarly journals Small Wind Turbine Emulator Based on Lambda-Cp Curves Obtained under Real Operating Conditions

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2456
Author(s):  
Camilo I. Martínez-Márquez ◽  
Jackson D. Twizere-Bakunda ◽  
David Lundback-Mompó ◽  
Salvador Orts-Grau ◽  
Francisco J. Gimeno-Sales ◽  
...  
Keyword(s):  
Power Control ◽  
Wind Turbine ◽  
Low Cost ◽  
Operating Conditions ◽  
Control Algorithms ◽  
Graphic User Interface ◽  
Small Wind Turbine ◽  
Power Electronics Converters ◽  
Control Curves

This paper proposes a new on-site technique for the experimental characterization of small wind systems by emulating the behavior of a wind tunnel facility. Due to the high cost and complexity of these facilities, many manufacturers of small wind systems do not have a well knowledge of the characteristic λ - C p curve of their turbines. Therefore, power electronics converters connected to the wind generator are usually programmed with speed/power control curves that do not optimize the power generation. The characteristic λ - C p curves obtained through the proposed method will help manufacturers to obtain optimized speed/power control curves. In addition, a low cost small wind emulator has been designed. Programmed with the experimental λ - C p curve, it can validate, improve, and develop new control algorithms to maximize the energy generation. The emulator is completed with a new graphic user interface that monitors in real time both the value of the λ - C p coordinate and the operating point on the 3D working surface generated with the characteristic λ - C p curve obtained from the real small wind system. The proposed method has been applied to a small wind turbine commercial model. The experimental results demonstrate that the point of operation obtained with the emulator is always located on the 3D surface, at the same coordinates (rotor speed/wind speed/power) as the ones obtained experimentally, validating the designed emulator.

A methodology for the low-cost optimisation of small wind turbine performance

2013 ◽  
Vol 104 ◽  
pp. 1-9 ◽  
Author(s):  
A. Arroyo ◽  
M. Manana ◽  
C. Gomez ◽  
I. Fernandez ◽  
F. Delgado ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Low Cost ◽  
Small Wind Turbine ◽  
Turbine Performance

scholarly journals Exploring the Effect of Temporal Aggregation on SCADA Data for Wind Turbine Prognosis Using a Normality Model

2021 ◽  
Vol 11 (14) ◽  
pp. 6405
Author(s):  
Pere Marti-Puig ◽  
Alejandro Bennásar-Sevillá ◽  
Alejandro Blanco-M. ◽  
Jordi Solé-Casals
Keyword(s):  
Wind Turbine ◽  
Low Cost ◽  
Wind Farms ◽  
Temporal Aggregation ◽  
Time Interval ◽  
Irreversible Loss ◽  
Loss Of Information ◽  
Statistical Measures ◽  
Maximum Value ◽  
Additional Equipment

Today, the use of SCADA data for predictive maintenance and forecasting of wind turbines in wind farms is gaining popularity due to the low cost of this solution compared to others that require the installation of additional equipment. SCADA data provides four statistical measures (mean, standard deviation, maximum value, and minimum value) of hundreds of wind turbine magnitudes, usually in a 5-min or 10-min interval. Several studies have analysed the loss of information associated with the reduction of information when using five minutes instead of four seconds as a sampling frequency, or when compressing a time series recorded at 5 min to 10 min, concluding that some, but not all, of these magnitudes are seriously affected. However, to our knowledge, there are no studies on increasing the time interval beyond 10 min to take these four statistical values, and how this aggregation affects prognosis models. Our work shows that, despite the irreversible loss of information that occurs in the first 5 min, increasing the time considered to take the four representative statistical values improves the performance of the predicted targets in normality models.

scholarly journals Numerically and Experimentally Verified Design of a Small Wind Turbine with Injection Molded Blade

Processes ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 776
Author(s):  
Byunghui Kim ◽  
Sang-June Park ◽  
Seokyoung Ahn ◽  
Myung-Gon Kim ◽  
Hyung-Gun Yang ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Power Systems ◽  
Wind Turbine ◽  
Wind Power ◽  
Offshore Wind ◽  
Power Coefficient ◽  
Manufacturing Method ◽  
Small Wind Turbine ◽  
Verification Methods ◽  
Wind Power Systems

Although mega-watt class onshore and offshore wind power systems are used to generate power due to their cost-effectiveness, small wind power systems are important for household usages. Researchers have focused on aerodynamic characteristics as a conceptual design from their previous studies on Archimedes spiral wind turbines. Here, we verified the design of a small wind turbine AWM-750D (100 W capacity) via both numerical simulation and experimentation. We used commercial code ANSYS CFX for numerical simulation and compared turbulence models and surface roughness for determining the performance. To obtain reliable and robust blades, we analyzed the effective manufacturing method with Moldflow. Through a test with an open-suction type atmospheric boundary layer wind tunnel, we varied wind speed from 4.0 m/s to the rated value of 12.5 m/s and obtained 106 W, equivalent to a power coefficient of 0.205. In addition, we compared the numerical and experimental power vs. rotational speed and found the former is 6.5% lower than the latter. In this study, we proved that numerical simulations can act as design verification methods to predict wind turbine performances and reliable manufacturing. Through our research, we provided the prototype of a small wind turbine with 100 W to act as an efficient electric power supplier for households and also the stable manufacturing process for complex spiral blades using injection molding.

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