Wind energy has been considered one of the most popular forms of renewable energy. It has been widely considered for the generation of electricity for its low maintenance cost and negligible effect on environmental pollution. The purpose of this research is to evaluate and compare the wind energy potential in seven different districts of Bangladesh including Barisal, Chittagong, Dhaka, Khulna, Rajshahi, Rangpur, and Sylhet. Data had been recorded on daily basis for the consecutive five years from 2015 until 2019 and analysed using Weibull distribution function various essential parameters such as wind speed, wind energy density and wind power density. Results show that the monthly average wind speed varies between 0.5 m/s to 2.10 m/s for all the divisions except Chittagong where it is in the range between 3 m/s and 4.5 m/s. Similarly, the maximum wind power density and wind energy density were also found in the Chittagong division with annual densities that range between 51.86967 W/ to 84.01142 W/ and 454.3783 KWh/ to 753.94 KWh/ , respectively. The shape and scale parameters (k and c) are varying between 0.774373 – 1.086069 and 0.684588 – 1.735511 m/s, respectively for all the divisions except Chittagong where it ranges between 1.463098 – 1.625881 and 3.131256 – 4.28601 m/s, respectively. Meanwhile, the prevailing wind directions vary from one division to another but mainly between south and east. This, this study strongly recommends the Chittagong division for the utilization of the potentiality of wind energy.

Wind power has experienced very rapid growth over the past two decades as major technological advances have been made to reduce the cost of producing electricity through wind. It is also renowned for its low maintenance and negligible effect on environmental pollution. The main purpose of this study is to evaluate and compare the wind energy potential in seven major districts of Bangladesh including Barisal, Chittagong, Dhaka, Khulna, Rajshahi, Rangpur, and Sylhet. Data had been recorded on daily basis for the consecutive five years from 2015 until 2019 and analyzed using the Weibull distribution function for various essential parameters such as wind speed, wind power density and Weibull parameters. Results show that the monthly average wind speed varies between 0.5 m/s to 2.10 m/s for all the divisions except Chittagong which is in the range between 3 m/s and 4.5 m/s. Similarly, the maximum wind power density and wind energy density were also found in the Chittagong division with annual densities that range between 51.86967 W/ to 84.01142 W/and 454.3783 KWh/ to 753.94 KWh/, respectively. The shape and scale parameters (k and c) are varying between 0.774373 – 1.086069 and 0.684588 – 1.735511 m/s, respectively for all the divisions except Chittagong where it ranges between 1.463098 – 1.625881 and 3.131256 – 4.28601 m/s, respectively. Meanwhile, the prevailing wind directions vary from one division to another but mainly between the south and east. This, this study strongly recommends the Chittagong division for the utilization of the potentiality of wind energy typically for small-scale applications.

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This current study focuses on the simulation of natural convection in square cavity filled with a porous medium considered homogenous, isotropic and saturated by a Newtonian fluid obeying the law of Darcy and the hypothesis of Boussinesq. The lower horizontal wall of the enclosure is subjected to a temperature varying sinusoidally with the space while the upper horizontal wall is maintained adiabatic. The vertical walls are kept cold isotherm. In order to generalize the results, all governing equations are put into dimensionless form, discretized by the Finite Difference Method and solved by the relaxed Gauss Seidel (SUR) Algorithm. A code has been proposed in Fortran 95, in order to solve numerically the equations of the problem. The study parameters are the Rayleigh-Darcy number (Ra) and the amplitude (A r ) of the hot wall temperature. The effects of the Rayleigh-Darcy number and amplitude on the dynamic and thermal field, the horizontal velocity distribution and the mean horizontal temperature distribution (y = 0.5) were presented and discussed. It emerges from this study that the increases of the amplitude and Rayleigh-Darcy number intensify the flow and the global transfer of heat in our physical domain.