An experimental performance study of Savonius small rotors is performed in this work. Two Savonius prototypes, two blades and the same aspect ratio, were constructed from vinyl polychloride and use different air flow. Experimental tests allowed the rotation speed of each rotor to be determined for different air flows. It is important to note that the average angular velocity of the smaller rotor is approximately fifty percent higher than the larger rotor. At the same time, the absorption torque on the rotor shaft was measured and the mechanical power of each Savonius wind turbine prototype was estimated. The main result was that wind turbines of the same aspect ratio have different performances.
The paper presents the results of a study with temperature measurements using low cost sensors connected to an Arduino microcontroller. To perform the study, three sensors widely used for monitoring environmental conditions with Arduino. The selected sensors were the LM35DZ (analog sensor) and DHT11 and DHT22 (digital sensors). The LM35DZ sensor is a sensor known to be an analog sensor that has linear temperature response with voltage. The DHT11 sensor measures temperature and humidity simultaneously. To measure temperature the DHT11 sensor uses a temperature-sensitive resistor and has a measurement range from 0 to 50 °C, with an uncertainty ± 2% ° C. The DHT22 has a measurement range -40 to 80 ° C and an uncertainty ± 1% ° C. Simultaneous temperature measurements with the three sensors showed good performance in indoor situations, showing the maximum and minimum temperatures of a daily temperature cycle.
Automatic weather stations are instruments of high operational cost. As a result, there are few places where real-time atmospheric measurements are taken Such measures can be employed to forecast a region's weather and climate, enabling decision-making in a variety of areas.Given the high importance of meteorological measurements and due to the reduced number of automatic stations, this work proposes the development of a low cost atmospheric data collection system using the Arduino Platform. In the present study, we elaborated a system composed by a set of sensors connected to an Arduino microcontroller. Wind speed, temperature, humidity and atmospheric pressure are the variables measured and controlled by the developed system.
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