An analysis of selecting proper locations for installment of wind power plant considering terrain effect

This paper presents the analysis of wind speed data of eight different sites collected from the Meteorological Department of Bangladesh by choosing the proper sites at best possible seasons of the year at different heights with the terrain effect consideration to show the prospect of utilizing the wind power by installing wind turbine effectively. This proposal is expected to make the best use of reasonable wind speed available in these sites for particular seasons of the year to extract power to contribute by reducing country's power crisis. Again the proposed system can be of hybrid type (i.e. solar-wind or wind-tidal) to make the best use of the plant when there is not adequate wind speed to extract power from it

An analysis & design on micro generation of a domestic solar-wind hybrid energy system for rural & remote areas - Perspective Bangladesh

Utilization of renewable energy resources have been the most important & prospective field to seek new energy sources to meet up the increasing demand in power all over the world specially in a developing country like Bangladesh. Among the renewable resources, wind & solar being the most popular ones due to abundant, ease of accessibility and convertibility to the electricity. This paper presents the analysis and design of a hybrid solar-wind system for micro generation for domestic purpose in the rural & remote areas of our country where continuous power supply from central grid has been a great is problem and sometimes for some remote places it's economically not viable at all as far as our country is concerned. We propose such a hybrid system which is expected to run effectively under a microcontroller to utilize the maximum possible solar & wind resources to reduce the demands on national grid for on-grid region as well as to supply power to those places where there is no grid line (i.e. off-grid region)

Feature extraction of human sleep EEG signals using Wavelet Transform and Fourier Transform

Electroencephalogram (EEG) is a complex signal resulting from postsynaptic potentials of cortical pyramidal cells and an important brain state indicator with specific state dependent features. Modern brain research is intimately linked to the feasibility to record the EEG and to its quantitative analysis. EEG spectral analysis is an important method to investigate the hidden properties and hence the brain activities. Spectral analysis of sleep EEG signal provides acute insight into the features of different stages of sleep which can be utilized to differentiate between normal and pathological conditions. This paper describes the process of extracting features of human sleep EEG signals through the use of multi resolution Discrete Wavelet Transform and Fast Fourier Transform. Discrete Wavelet Transform offers representations of the signals in the time-frequency plane giving information regarding the time localization of the spectral components at different stages of sleep in human beings and Fast Fourier Transform provides the spectral information. This paper also discusses the clinical correlation associated with sleep EEG signals in brief

An analysis of selecting proper locations for installment of wind power plant considering terrain effect

This paper presents the analysis of wind speed data of eight different sites collected from the Meteorological Department of Bangladesh by choosing the proper sites at best possible seasons of the year at different heights with the terrain effect consideration to show the prospect of utilizing the wind power by installing wind turbine effectively. This proposal is expected to make the best use of reasonable wind speed available in these sites for particular seasons of the year to extract power to contribute by reducing country's power crisis. Again the proposed system can be of hybrid type (i.e. solar-wind or wind-tidal) to make the best use of the plant when there is not adequate wind speed to extract power from it