Determining the optimal operating parameters of a wind system

The paper main objective is to determine the representative parameters for the geometrical modeling of the speed amplifiers used in the high-capacity wind systems, taking into account the assembling and also the neighboring conditions of the satellite wheels in the planetary units. The analysis is based on a case study taken from a representative producer in this field - a speed amplifier for which is known: wind rotor diameter, type of speed amplifier and electric generator. Starting from these data and from the power curve offered by each wind device producer, the paper presents the synthesis of the number of teeth and the efficiency of such an amplifier taking into account the electrical and wind parameters (wind velocity, density air, wind rotor diameter). Based on the electrical and wind parameters, the system's power factor is determined to determine the efficiency of the speed amplifier and the wind speed at which the system can work best.

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Analysis of the Wind System Operation in the Optimal Energetic Area at Variable Wind Speed over Time

Sustainability ◽

10.3390/su11051249 ◽

2019 ◽

Vol 11 (5) ◽

pp. 1249 ◽

Cited By ~ 5

Author(s):

Ciprian Sorandaru ◽

Sorin Musuroi ◽

Flaviu Frigura-Iliasa ◽

Doru Vatau ◽

Marian Dordescu

Keyword(s):

Wind Speed ◽

Angular Velocity ◽

Optimal Operation ◽

Wind System ◽

Optimal Velocity ◽

Electric Generator ◽

Wind Speeds ◽

Power Point ◽

Variable Wind ◽

Over Time

Due to high mechanical inertia and rapid variations in wind speed over time, at variable wind speeds, the problem of operation in the optimal energetic area becomes complex and in due time it is not always solvable. No work has been found that analyzes the energy-optimal operation of a wind system operating at variable wind speeds over time and that considers the variation of the wind speed over time. In this paper, we take into account the evolution of wind speed over time and its measurement with a low-power turbine, which operates with no load at the mechanical angular velocity ωMAX. The optimal velocity is calculated. The energy that is captured by the wind turbine significantly depends on the mechanical angular velocity. In order to perform a function in the maximum power point (MPP) power point area, the load on the electric generator is changed, and the optimum mechanical velocity is estimated, ωOPTIM, knowing that the ratio ωOPTIM/ωMAX does not depend on the time variation of the wind speed.

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Analysis Effect of Cloud Cover, Wind Speed, and Water Temperature to BOD and DO Concentration Using QUAL2Kw Model (Case Study In Winongo River, Yogyakarta)

MATEC Web of Conferences ◽

10.1051/matecconf/201928005006 ◽

2019 ◽

Vol 280 ◽

pp. 05006

Author(s):

Nelly Marlina ◽

Dirja Melyta

Keyword(s):

Wind Speed ◽

Water Temperature ◽

Wind Velocity ◽

Cloud Cover ◽

Management Strategy ◽

Water Quality Management ◽

Buffer Strips ◽

Model Case ◽

Riparian Buffer Strips

Winongo river is one of the rivers in the province of D.I. Yogyakarta that included in the category of contaminated. the research aims to learn on the effect variation of cloud cover, wind speed, and water temperature on BOD and DO concentrate in order to choose water quality management strategy at Winongo river. This research conducting a simulation with variating the cloud cover variables (0%, 69%, and 88%), wind velocity (0 m/second, 0,211 m/second and 1,22 m/second), and so the water temperature air (24,2°C, 28,14°C, and 30,6°C). The modeling result shows that cloud cover variables don’t affect the DO-BOD concentrate at Winongo river (sig = 0). While the wind velocity variables only have a small effect on the changed of DO and BOD at Winongo river (sig > 0,05). And for water temperature variables had the significant effect on the concentration changed of DO (sig < 0,05) and have a small effect on the changed of BOD at Winongo river (sig > 0,05). The DO and BOD management strategy can be done by making of riparian buffer strips or planting vegetation on the riverbank Winongo, build a WWTP Communal in every district along the river Winongo

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Power Curve of a Wind Generator Suitable for a Low Wind Speed Site to Achieve a High Capacity Factor

Journal of Electrical Engineering and Technology ◽

10.5370/jeet.2014.9.3.820 ◽

2014 ◽

Vol 9 (3) ◽

pp. 820-826 ◽

Cited By ~ 3

Author(s):

Gihwan Yoon ◽

Hyewon Lee ◽

Sang Ho Lee ◽

Don Hur ◽

Yong Cheol

Keyword(s):

Wind Speed ◽

High Capacity ◽

Capacity Factor ◽

Power Curve ◽

Wind Generator ◽

Low Wind Speed

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Dynamic Analysis of a Single-Rotor Wind Turbine with Counter-Rotating Electric Generator under Variable Wind Speed

Applied Sciences ◽

10.3390/app11198834 ◽

2021 ◽

Vol 11 (19) ◽

pp. 8834

Author(s):

Mircea Neagoe ◽

Radu Saulescu ◽

Codruta Jaliu ◽

Ion Neagoe

Keyword(s):

Wind Speed ◽

Wind Turbine ◽

Mechanical Characteristics ◽

Mechanical Efficiency ◽

Rigid Bodies ◽

Kinematic Parameters ◽

Electric Generator ◽

Variable Wind ◽

Transient And Steady State

This paper presents a theoretical study of the dynamic behaviour of a wind turbine consisting of a wind rotor, a speed increaser with fixed axes, and a counter-rotating electric generator, operating in variable wind conditions. In the first part, the dynamic analytical model of the wind turbine mechanical system is elaborated based on the dynamic equations associated with the component rigid bodies and the linear mechanical characteristics associated with the direct current (DC) generator and wind rotor. The paper proposes a method for identifying the coefficients of the wind rotor mechanical characteristics depending on the wind speed. The numerical simulations performed in Simulink-MATLAB by MathWorks on a case study of a 10 kW wind turbine highlight the variation with the time of the kinematic parameters (angular speeds and accelerations), torques and powers for wind system shafts, as well as the mechanical efficiency, both in transient and steady-state regimes, considering variable wind speed. The analytical and numerical results are helpful for researchers, designers, developers, and practitioners of wind turbines aiming to optimise their construction and functionality through virtual prototyping.

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