Abstract
In this paper the multiverse optimization (MVO) was used for estimating Weibull parameters. These parameters were further used to analyze the wind data available at a particular location in the Tirumala region in India. An effort had been made to study the wind potential in this region (13°41′30.4″ N 79°21′34.4″ E) using the Weibull parameters. The wind data had been measured at this site for a period of six years from January 2012 to December 2017. The analysis was performed at two different hub heights of 10 m and 65 m. The frequency distribution of wind speed, wind direction and mean wind speeds were calculated for this region. To compare the performance of the MVO, gray wolf optimizer (GWO), moth flame optimization (MFO), particle swarm optimization (PSO) and other numerical methods were considered. From this study, the performance had been analyzed and the best results were obtained by using the MVO with an error less than one. Along with the Weibull frequency distribution for the selected region, wind direction and wind speed were also provided. From the analysis, wind speed from 2 m/s to 10 m/s was present in sector 260–280° and wind from 0–4 m/s were present in sector 170–180° of the Tirumala region in India.
Highlights
The increasing energy demand, from all the sectors, is creating a stressful situation over fossil fuels
Among the statistical analysis [3], Weibull distribution plays an important role in estimating the wind potential at any region
The data consisted of wind speed and wind direction collected from different hub heights of 10 m and 65 m
Summary
The increasing energy demand, from all the sectors, is creating a stressful situation over fossil fuels. Excessive use of these fuels will substantially increase pollution in the environment. As fossil fuel plays a major part in pollution and creating global warming [1,2], there is a need to focus on improving an alternate energy source for meeting the energy demand. We know that wind is stochastic in nature, i.e., its speed and direction will be varying with time. With the clear knowledge of wind statistical properties, it becomes easier to predict the energy available at that particular location. Among the statistical analysis [3], Weibull distribution plays an important role in estimating the wind potential at any region
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