Development of Low Wind Speed Anemometer

Choon, Tan Wee; Prakash, Churia; Aik, Lim Eng; Hin, Teoh Thean

doi:10.18517/ijaseit.2.3.194

Cited by 7 publications

(3 citation statements)

References 9 publications

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“…Thus, it was more appropriate to measure the angular velocities by means of a digital tachometer. The use of an anemometer to directly measure wind speed has been carried out in several past contributions [42,43]. Such studies are useful for in-depth experimental and theoretical investigations on aerodynamic analyses pertaining to the conversion of linear wind velocity to rotational velocity in a turbine.…”

Section: Performance Studymentioning

confidence: 99%

Installation and Performance Study of a Vertical-Axis Wind Turbine Prototype Model

2022

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Amongst various sources of renewable energy, the kinetic energy of blowing wind has environmental friendliness and easy availability, together with other benefits. The wind energy is converted into usable electrical energy by means of a robust device termed a wind turbine. To carry out a performance study of such a device, a small-scale model vertical-axis wind turbine was installed at the laboratory and was run by artificial wind energy produced by a pedestal fan for low and medium speeds and a blower for higher speeds. The variation in critical parameters such as output power and voltage with different speeds was studied. The average output power and voltage were observed to increase with average shaft speed with linear and curvilinear patterns, respectively. The vibration produced at the bearing shaft resulting from the rotating components was analyzed as well. As observed, the peak values of critical vibration parameters such as displacement, velocity, acceleration, and frequency mostly varied curvilinearly with average shaft speeds. To study the applicability of the power generation, an electronically controlled automatic drip irrigation system was allowed to run by the wind turbine and important observations were made. Theoretical analyses (numerical and analytical) of the wind flow and power generation were also performed.

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Section: Performance Studymentioning

confidence: 99%

Installation and Performance Study of a Vertical-Axis Wind Turbine Prototype Model

2022

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“…The wind energy application forecasting models with various time horizons. Are presented in Table 1 [71], while the numerous types of anemometers that can forecast wind speed, cup anemometers, sound anemometers, and laser Doppler anemometers are listed in Table 2. The cup anemometer consists of rotating blades with cups at both ends of the blade, which rotate to measure the wind speed [72].…”

Section: Anemometermentioning

confidence: 99%

Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend

et al. 2020

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To sustain a clean environment by reducing fossil fuels-based energies and increasing the integration of renewable-based energy sources, i.e., wind and solar power, have become the national policy for many countries. The increasing demand for renewable energy sources, such as wind, has created interest in the economic and technical issues related to the integration into the power grids. Having an intermittent nature and wind generation forecasting is a crucial aspect of ensuring the optimum grid control and design in power plants. Accurate forecasting provides essential information to empower grid operators and system designers in generating an optimal wind power plant, and to balance the power supply and demand. In this paper, we present an extensive review of wind forecasting methods and the artificial neural network (ANN) prolific in this regard. The instrument used to measure wind assimilation is analyzed and discussed, accurately, in studies that were published from May 1st, 2014 to May 1st, 2018. The results of the review demonstrate the increased application of ANN into wind power generation forecasting. Considering the component limitation of other systems, the trend of deploying the ANN and its hybrid systems are more attractive than other individual methods. The review further revealed that high forecasting accuracy could be achieved through proper handling and calibration of the wind-forecasting instrument and method.

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“…The water hammer phenomenon in a piping system usually can be identified with the generation of pressure wave propagation [8]. Moreover, the mathematical models of pressure wave were developed and applied to explain the water hammer phenomenon since the mid-1800s [9,10]. While investigating the failure behavior of the pipe body due to impact load is interesting [11,12], characteristics of the fluid-structure interaction between the water and pipe have yet to be fully understood.…”

Section: Introductionmentioning

confidence: 99%

Measurement of pressure wave speed in stainless-steel pipe generated by water hammer

et al. 2018

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This paper aims to demonstrate a measurement method of pressure wave speed in stainless-steel pipe filled with water caused by water hammer phenomenon. The pressure wave is generated using a self-developed drop impact testing equipment. An impactor is dropped to collide a buffer which then induces the water hammer phenomenon. The generated pressure and its propagation speed in the water are carefully measured here. Pressure measurement is conducted by a pressure transducer, while pressure wave speed is measured by two methods, which utilize peak time of the pressure recorded by pressure transducer and peak time of strains recorded by two strain gages positioned in a different location. These strain gages are oriented to the circumferential direction of the pipe. Measurement result shows that at 1.5 m height, impact pressure of between 0.86 to 1.16 MPa and wave velocity of 1250 m/s were obtained. From the experimental results, the characteristic of pressure wave in the water was able to be observed.

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Development of Low Wind Speed Anemometer

Cited by 7 publications

References 9 publications

Installation and Performance Study of a Vertical-Axis Wind Turbine Prototype Model

Installation and Performance Study of a Vertical-Axis Wind Turbine Prototype Model

Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend

Measurement of pressure wave speed in stainless-steel pipe generated by water hammer

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