Awan Setiawan - Academia.edu (original) (raw)
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Indraprastha Institute of Information Technology(IIIT), Delhi
National Pingtung University of Science and Technology
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Papers by Awan Setiawan
International journal of simulation: systems, science & technology, 2020
Wind energy potential in Indonesia is more than 90 GB and the production of electic energy using ... more Wind energy potential in Indonesia is more than 90 GB and the production of electic energy using wind has not been explored optimally. The main problem is that optimal wind energy utilization has not been explored yet while demand for electric energy is increasing faster. The objective of this research is to analyze the effect of wind speed variation on the power generated by Vertical Axis Wind Turbine (VAWT) using NACA 4412. VAWT uses 4 unit turbine blades and the variation wind speed is 4.5 to 5.2 m/second. The research variables are variation of wind speed and variation of turbine blades, and the electric power is generated by VAWT. In this simulation research we apply quantitative methods to experimental design using one way classification and data simulation. The findings of this research reveals that the faster the wind speed and the higher number of turbine blades, the higher power is generated. The null hypothesis is rejected, which means that there is a difference between variation of wind speed and the electric power generated by VAWT.
International journal of simulation: systems, science & technology, 2020
Wind energy potential in Indonesia is more than 90 GB and the production of electic energy using ... more Wind energy potential in Indonesia is more than 90 GB and the production of electic energy using wind has not been explored optimally. The main problem is that optimal wind energy utilization has not been explored yet while demand for electric energy is increasing faster. The objective of this research is to analyze the effect of wind speed variation on the power generated by Vertical Axis Wind Turbine (VAWT) using NACA 4412. VAWT uses 4 unit turbine blades and the variation wind speed is 4.5 to 5.2 m/second. The research variables are variation of wind speed and variation of turbine blades, and the electric power is generated by VAWT. In this simulation research we apply quantitative methods to experimental design using one way classification and data simulation. The findings of this research reveals that the faster the wind speed and the higher number of turbine blades, the higher power is generated. The null hypothesis is rejected, which means that there is a difference between variation of wind speed and the electric power generated by VAWT.