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AN INVESTIGATION OF THE EFFECTS OF WIND VELOCITY ON THE PERFORMANCE OF TURBINES AND GENERATORS Lestari, Kiki Rezki; Alviana, Izkia Dwi; Gunadi, Sunartoto; Wati, Erna Kusuma; Santoso, Hari Hadi
MSJ : Majority Science Journal Vol. 2 No. 1 (2024): MSJ-February
Publisher : PT. Hafasy Dwi Nawasena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61942/msj.v2i1.77

Abstract

Variations in wind speed at 4,6 and 8 m altitudes were analyzed using a 24-hour dataset. The greatest recorded wind velocity was 3.3 m/s at a height of 8 meters, and the lowest was around 2.4 m/s at a height of 4 meters. The investigation also identified discrepancies in velocity between the generator and turbine while they were operating with and without a load. The turbine's speed increased when there was no weight present. The peak wind velocity reached 3.9 meters per second, accompanied by a similar variation of 5.4 rotations per minute. The average discrepancy in rotational velocity between the turbine and generator during periods of low wind was 3.74 RPM. This discovery establishes a fundamental basis for comprehending the movement of wind and enabling future in-depth explorations in the field of atmospheric sciences. The generator's performance is assessed by the measurement of current and voltage, which serves to highlight its versatility and effectiveness. The correlation between wind velocity and generator rotational speed is crucial for energy conversion, since the turbine's velocity needs to be adjusted to match the heightened load, affecting the generator's speed.
Sistem Pemantauan Gas Benzena dengan Aplikasi Blynk Hidayanti, Fitria; Lestari, Kiki Rezki; Kusumo, Donni Indra
JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) Vol. 5 No. 2 (2021): November Edition
Publisher : Universitas Nurul Huda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30599/jipfri.v5i2.1117

Abstract

Benzene gas is a material widely used in the laboratory as a solvent. Benzene gas can be harmful to people. Therefore, this study aims to measure and monitor benzene gas levels with the Internet of Things (IoT) platform as a monitoring and notification system on android smartphone devices. The sensor used is MS 1100 to detect benzene gas and transmit input signals. The NodeMCU microcontroller processes these signals. This wifi module in NodeMCU sends the sensor’s value to the Blynk IoT platform to display in graph form. This value is processed under the program and it meets the setpoint then the system provides notifications to users through the Blynk application on android smartphone devices as well as activating buzzer and exhaust fans in the laboratory room. The result showed that monitoring of benzene gas in the laboratory as 0.17 ppm.