Feasibility Study of Energy Extraction from Wind Pressure of Outdoor Fan of Refrigerator Using Small Scale Wind Turbine: Bangladesh Perspective
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Mass quantity of population, emission from conventional power plant, and more demand than supply i.e. load shedding encouraged us to search alternative way to fulfill the energy crisis of humankind and reduce greenhouse gas emission. In this paper, we just study the feasibility of energy from outdoor fan of air conditioning system using small wind turbine (rotor radius 0.25-5m), because nowadays air conditioning is the second largest energy consumption device among commercial as well as home appliances in Bangladesh due to climates fluctuation. Moreover, the extracted energy will store in electrochemical device to use this energy during load shedding. It not only helps to reduce tariff but also remove power cut-off tension and replace high price heavy and solar irradiance dependent on-grid rooftop solar system. We measured the outdoor fan's wind speed using anemometer of various capacities such as 1 to 2 tons' air conditioners. Later the model's performance analyzes numerically by MATLAB software. It shows maximum mechanical power 40W at trip speed ratio 8. In addition, cost analysis has done to know economic feasibility.Keywords:
Anemometer
Wind power is one of the freshest and most secure strategies for creating inexhaustible power. Wind homesteads can be made to trap wind energy by putting various wind turbines in a similar area to produce a lot of electric power.Ultrasonic Anemometer is one of the central part for the wind turbines which make them more efficient by providing the necessary data for installation of wind turbines. Main benefit of ultrasonic anemometer is that it doesn’t contain any movable parts and hence it is best suitable for the regions where temperature remain below -350C. For example, in India Ladakh and Siachen are regions having good potential of wind energy but too low temperature are the major issue for installation of wind turbines. In those cases, Ultrasonic Anemometer can be a reliable choice for providing the details about proper installations of wind turbines.
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This paper presents a comparative study of wind speed measured using cup anemometers installed on meteorological mast and LiDAR. The measurement site is in north-eastern area of Thailand named Nawang in Khemmarat district of Ubonratchathani. In this study, data collection over a month is examined. To verify that the wind speed obtained from LiDAR can replace that from cup anemometers, a number of statistical analyses are applied. The results show some similar and different features between the two groups of data.
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Mast (botany)
Statistical Analysis
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In order to secure running safety of trains in strong winds, JR East implements operation control such as speed control and operation suspension at prescribed wind speeds. As a method to more appropriately assess wind speed, the authors have introduced to some lines in advance use of the spatial average of instantaneous wind speed observed by three anemometers. On the other hand, in the fields of meteorology and wind engineering, the internationally accepted method is to use the time average of instantaneous wind speed of observations over a few seconds by a single anemometer. If the authors can apply the new method to train operation control, it could be significant in terms of conforming to international standards and effective in reducing installation and maintenance costs of anemometers as well. In this study, the authors analyzed the time average wind speed observed by an anemometer with performance almost equal to the spatial average wind speed observed by three anemometers, and the authors results show that such time average wind speed is the average of wind speed observed for three seconds.
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Electronic speed control
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Abstract In this paper, we proposed a novel anemometer for simultaneously and conveniently monitoring wind speed and wind direction by using a pair of fiber Bragg gratings (FBGs). The anemometer comprises a plastic ball, a stainless steel rod, and two FBGs. The gratings are glued to the surface of the stainless steel rod with a location separation of 90°. In the operation mechanism, the bend in the stainless‐steel‐rod caused by the wind force drives the FBGs, thereby leading to a grating wavelength shift for the measurement both of wind speed and wind direction This fiber anemometer is experimentally demonstrated in real time with a sensitivity of 0.02 nm/(m/s) and a resolution of 0.49 m/s for wind speed measurement, with a wind speed error of less than 2.38%, and a wind direction angle error of approximately 0.69%.
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Fiber Bragg Grating
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To eliminate influence of temperature fluctuations on wind speed measurement with anemometer,design a kind of fiber Bragg grating( FBG) anemometer using principle of number counting effectively and stably measure wind speed. This kind of anemometer has a wind cup,which has a speed cam,and the counting device consists of speed cam and a balanceable cantilever on which FBG is pasted. Based on linear relationship between wind speed and revolving speed of the wind cup,build sensing model,then can calculate according to numbers of central light wave changes,calculate wind speed and monitor wind speed live in the aim area. Wind tunnel experiments show that wind speed sensor using principle of number counting start up wind speed is 0. 9 m / s,linearity is 6 % and sensitivity is 0. 65 r / m.
Anemometer
Fiber Bragg Grating
Linearity
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Availability of wind speed information is of great importance for wind energy conversion systems (WECS) to extract maximum energy from wind. Most controllers in WECS employ anemometers to measure wind speed. To obtain adequate wind speed information a number of anemometers is required and needs to be installed properly surrounding wind turbine. This paper presents fuzzy logic principles for estimation of wind speed on the center of the wind turbine. The principles are inferred heuristically from a typical wind turbine power curve. The proposed principles have been simulated to estimate the wind speed on the center of the wind turbine during the WECS operation. The simulation results show that the wind speed could be well estimated under the wind speed variations.
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Anemometer
Log wind profile
Surface layer
Roughness length
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Recent studies on observed wind variability have revealed a decline (termed "stilling") of near-surface wind speed during the last 30–50 years over many mid-latitude terrestrial regions, particularly in the Northern Hemisphere. The well-known impact of cup anemometer drift (i.e., wear on the bearings) on the observed weakening of wind speed has been mentioned as a potential contributor to the declining trend. However, to date, no research has quantified its contribution to stilling based on measurements, which is most likely due to lack of quantification of the ageing effect. In this study, a 3-year field experiment (2014–2016) with 10-minute paired wind speed measurements from one new and one malfunctioned (i.e., old bearings) SEAC SV5 cup anemometer which has been used by the Spanish Meteorological Agency in automatic weather stations since mid-1980s, was developed for assessing for the first time the role of anemometer drift on wind speed measurement. The results showed a statistical significant impact of anemometer drift on wind speed measurements, with the old anemometer measuring lower wind speeds than the new one. Biases show a marked temporal pattern and clear dependency on wind speed, with both weak and strong winds causing significant biases. This pioneering quantification of biases has allowed us to define two regression models that correct up to 37% of the artificial bias in wind speed due to measurement with an old anemometer.
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This study aimed to design and develop a wind speed monitoring system which used an anemometer to get the analog wind signal converting to its equivalent wind speed in miles per hour. Experimental development was used to establish the functionality of the wind speed monitoring system and this was followed by a descriptive approach to test the practicality and efficiency of the device. Findings of the study indicated that the device was reliable and functioning in terms of wind speed monitoring.
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SIGNAL (programming language)
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An air humidity sensor based on the capacity principle and programmable digital air temperature sensors are designed in the work. The wind direction and wind speed sensor (anemometer) is based on the optoelectronic principle. Sensors register frequency impulses from the wind fan of the anemometer. Methods and materials conformable with modern electronics and informatics were used. The method of linear regression was used for calibration of sensors. The accuracy of an air temperature sensor was found better than 0,1 °C in the range from ‐55 to 125 °C, and an air humidity sensor was better than 1 % in the range from 0 to 98 %. The anemometer works in the range of wind velocity from 0 to 150 km.h−1 with accuracy better than 1 % to 90 km.h−1 and over 90 km/h better than 3 %. First of all these sensors were proposed for automatic weather stations widely used in the sector of agriculture (microclimatic weather stations), industry and for other technological operations where monitoring of temperature, wind speed, wind direction and humidity is required. The sensors will be used as models for educational purposes at the lessons of biometeorology and climatology too.
Anemometer
Airspeed
Density of air
Dew point
Weather station
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