International Journal of Advanced Renewable Energy Research
Volume:1 Issue: 5, 2012

The study presents the statistical analysis of wind data at windy location of Bangladesh over a period of 20 years. The data has been shorted in sequence of appropriate frequency as hourly, daily and monthly mean wind speed. Two important parameters Weibull’s shape factor “k” and Weibull’s scale factor “c” have been obtained from the data. Weibull’s function F(v), Weibull’s probability density function f(v), theoretical available power and practically extractable power in the wind (w/m2) have also been obtained from the wind data. Weibull’s distribution such as Weibull’s shape factor, scale factor, probability density function and Weibull’s function were used as a tool for statistical analysis of the wind data. By using these tools one can easily identify the characteristics of wind wave and potential of wind power in any sites.

Despite the attractive potentials of renewable energy (RE) investment in Iran and encouragement packages of the government, the lack of investors tendency illustrates there are gaps between investor's expectations and governmental policies. In this article based on previous researches of the author, the general feasibility of each renewable alternative is described briefly. This can provide some innovative guidelines for private investors to know how they can study the feasibility renewable energy projects.

Owing to the growing environmental concern harnessing renewable energy sources became absolutely necessary like Solar, Wind etc. In this study Malin Head, Dublin Airport, Belmullet and Mullingar sites from Ireland are taken. Wind speed data was collected for last seven years for wind resource analysis (WRA) at a height of 50 m above ground level. Energy pattern factors are computed for all sites. Two parameter Extreme Value Distribution (EVD) model is used for analyzing wind speed pattern variations. Extreme Value Distribution (EVD) parameters are calculated by using Method of Moments (MOM). Analytical observations demonstrate that the coastal sites of Ireland such as Malin Head, Dublin Airport and Belmullet are better wind power potential sites. Strong winds for power generation occurred during the months of December to January. Development of wind power plants leads to reduction of scarcity of electrical energy.

This paper proposes a new islanding detection. Proposed anti islanding protection algorithm is based on frequency and phase variation during islanding. A signal called as Zero Crossing Time Difference, ZCDT is obtained. During islanding, ZCDT varies and islanding will be detected. The main benefit of the proposed method is simple mathematical operations. No special hardware or software is needed. Effectiveness and great capability of this new method is simulated and shown. In despite of previous methods, proposed algorithm is insensitive to other phenomena and no false trip is seen. No additional hardware and no complicated processing are needed. The proposed algorithm is quite implementable to nowadays power systems. A 0.66MW/ 690V wind turbine is simulated and modeled in MATLABSIMULINK.

novel approach for modeling of each Wind Energy Generation System (WEGS) is proposed. Based on the proposed model, a novel concept for enhancement of efficiency of WECSs is proposed. An Airborne Wind Energy Generation System (AWEGS) is modeled, modified using the proposed concept. The extracted power by the modified AWEGS is estimated using analytical approaches. To verify the effectiveness of the modified AWEGS, a small prototype is manufactured, and an experiment is carried out. The obtained results confirm the predicted results, and demonstrated the effectiveness of the modified AWEGS and the proposed concept for modification of the AWEGSs.

This study presents application of a Fuzzy Multi-criteria Decision Making Method for selection of best energy source for Electricity Generation in India. A ranking was obtained for eight energy options which included conventional and renewable energy sources with small hydro power coming at the top. The ranking was compared with results of a study based on techno-economic analysis which also ranked small hydro power as the best option hence the conclusion that it is the best energy option for India. The two rankings showed statistical correlation value of 0.357, which is a healthy value for a country-wide study, hence validating the use of this fuzzy method for selection of best energy option.

The research work has been carried out to study the aerodynamic characteristic i.e., drag coefficient torque coefficient etc. of a vertical axis type six bladed Savonius rotor. At first drag and torque characteristics of the six bladed Savonius rotor are determined by measuring the pressure distribution over the convex and concave surfaces of each blade at different angle of rotation. The pressure measurements have been made at 13 tapping points on each two blades of the rotor. Pressure on the convex and concave surfaces have been measured for every 10° interval of rotor angle up to 360° angle of rotation. To calculate drag force and torque in non-dimensional form, computer based software has been used and the output has been subsequently plotted and analyzed. The effects of individual blade and also the combined effects of six blades on different aerodynamic characteristics are analyzed in this research work. A quasi-steady approach has been applied for the prediction of the dynamic performance of the rotor using the static drag and torque coefficients. Power coefficient versus tip speed ratio curve for six bladed Savonius rotor has been drawn. This method results in a reasonable agreement with the measured power coefficient.