A statistical analysis of ten minutes interval wind data at 20 m height for different location of Bangladesh has been made. The data has been shorted in the sequence of appropriate frequency as hourly, daily and monthly mean wind speed. The data has been presented and analyzed in velocity frequency bar graph, energy bar graph, velocity duration curve etc. Two important parameters Weibull shape factor “k” and Weibull scale factor “c” have been obtained from the data by three methods. Weibull function F(v), Weibull probability density function f(v) and available energy in the wind (wh/m2) have also been obtained from the wind data
Wind resource assessment is a key stage in planning for a wind energy project to predict the output ...
In this study, wind conditions and its energy potential have been assessed by conducting a Weibull a...
New and distinct characteristics of wind properties in different locations were discovered during th...
A statistical analysis of ten minutes interval wind data at 20 m height for different location of Ba...
The wind energy is the most common and fastest growing source of renewable energy in the world. The ...
The present demand for energy is increasing day by day due to various reasons such as increasing pop...
The study presents the statistical analysis of wind data at windy location of Bangladesh over a peri...
The paper present the way of searching the wind power potential in the different isolated islands in...
In this study, the wind speed data has been statistically analyzed using Weibull distribution to fin...
In the study, the wind characteristics in the hilly or ridge areas of Bangladesh were made. The wind...
In the study, the statistical fittings of wind speed distribution for isolated islands has been carr...
This paper presents a way of determining the strongest gusts in days with long-lasting, relatively s...
Wind energy is now being used in almost every country of the world as an important and pollution fre...
This paper explores wind speed distribution using Weibull probability distribution and Rayleigh dist...
In this study, eight different numerical methods have been investigated to identify more effective m...
Wind resource assessment is a key stage in planning for a wind energy project to predict the output ...
In this study, wind conditions and its energy potential have been assessed by conducting a Weibull a...
New and distinct characteristics of wind properties in different locations were discovered during th...
A statistical analysis of ten minutes interval wind data at 20 m height for different location of Ba...
The wind energy is the most common and fastest growing source of renewable energy in the world. The ...
The present demand for energy is increasing day by day due to various reasons such as increasing pop...
The study presents the statistical analysis of wind data at windy location of Bangladesh over a peri...
The paper present the way of searching the wind power potential in the different isolated islands in...
In this study, the wind speed data has been statistically analyzed using Weibull distribution to fin...
In the study, the wind characteristics in the hilly or ridge areas of Bangladesh were made. The wind...
In the study, the statistical fittings of wind speed distribution for isolated islands has been carr...
This paper presents a way of determining the strongest gusts in days with long-lasting, relatively s...
Wind energy is now being used in almost every country of the world as an important and pollution fre...
This paper explores wind speed distribution using Weibull probability distribution and Rayleigh dist...
In this study, eight different numerical methods have been investigated to identify more effective m...
Wind resource assessment is a key stage in planning for a wind energy project to predict the output ...
In this study, wind conditions and its energy potential have been assessed by conducting a Weibull a...
New and distinct characteristics of wind properties in different locations were discovered during th...