A Forecast of Wind Farm Performance at Different Locations of Bangladesh Mohammad Shariful Islam *1 , Asif Islam #2 , Md. Zakirul Islam *3 , Abu Mohammad Zafar Sadeque π4 * Electrical & Electronic Engineering, Bangladesh University of Engineering & Technology (BUET) Palashi, Dhaka, Bangladesh 1 sabuz03@gmail.com # Planning & Development Division, Power Grid Company of Bangladesh (PGCB) Ltd. Ramna, Dhaka, Bangladesh 2 asif038@gmail.com 3 zakirul.islam11@gmail.com π Electrical and Computer Engineering, Southern Illinois University, USA 4 zafar.sadeque03@gmail.com Abstract— A good chunk of population of Bangladesh are not blessed with electricity, are living in medieval conditions, use charcoal and wood as the sources of energy, and of course, fire hydrocarbons for lighting their houses. For sustainable development, this huge population should be brought under the coverage of electricity, which is very difficult for country like Bangladesh as natural resources are scarce and budget is inadequate. But with proper planning, widespread rollout of renewable sources could change the scenario and provide a facelift to the insipid pastoral Bangladesh. As solar panels are costly, wind power could be the mantra for the future. Despite of the huge potential, very limited works have been done on assessment and development of biogas technology. This paper has attempted to assess the performances of hypothetical wind farms at different heights at different locations of Bangladesh in terms of plant capacity factor (PCF). Keywords— Wind Speed, Wind Power Density, Wind Energy, Plant Capacity Factor I. INTRODUCTION Wind farms, sustainable energy sources, produce small amount of greenhouse gases, could be long term solutions for intermittent energy supply to the end users. They can operate alone, can be synchronized to national grid, or can operate with other renewable or conventional sources. The low penetration of national grid, especially to rural area, has posed long term effects on countrywide sustainable development. As extending grid is not always economical and bounded by constraints, particularly scarcity of generation, advent of alternative sources e.g.-solar, wind, biogas, tidal etc is very important. Feasibilities of them are extensively studied by numerous researchers, as well as the performances of solar and wind in the perspective of Bangladesh. But very few of them are aimed at to finding the performances of wind farms in Bangladesh owing to deficiency of them. Though, Chowdhury et al. [1] have reflected on the implementation on wind farms on offshore Bangladesh and described the challenges related to it. Bulbul et al. [2] have used statistics to predict wind profile and wind power. Gupta et al. [3] have described the implementation and investigation of functionality of the GE 3.6MW Wind Turbine model implemented in Matlab and Simulink. They have found that, the pitch controller does not work according to the expected behaviour in low wind speed. Mollah et al. [4] have analysed the performances of wind farm set at the island of Kutubdia. Mazumder et al. [5] have described the prospects of wind power in Chittagong and calculated the requirements of wind turbine as well the performances of them. Ambia et al. [6] have derived a process for selecting right location amongst 8 of them forecasting the performances of them. Nibir et al. [7] have attempted to find the right micro scale wind turbine. They have analysed the performances of different micro wind turbine in terms of output power and generation capability. Sheikh et al. [8] have addressed the problem of fluctuating output power and voltage. Analysis shows that sporadic works have been done to find the performances of wind farms in Bangladesh, though they are not sufficient to get a great insight. Hence, the goal of this paper is to analyse the performance of hypothetical wind farms at different heights at different locations of Bangladesh in terms of plant capacity factor (PCF) II. METHODOLOGY Wind speed data 35 different location for years 2002-2011 is taken into consideration for the study. The available wind speed data is taken at standard meteorological height of 10m [7], which is converted to 50m data by standard conversion process [6] and is analysed monthly, yearly and overall. From this wind speed data wind power density [8] is calculated at different parts to categorize them into different power classes [9]. From the power class categorization, wind turbines with different diameter are selected for different places. After that monthly, yearly and average output power is calculated from the wind speed data by MATLAB wind turbine model and plant capacity factor (PCF) is calculated from this generated output power [10]. Sites having plant capacity factor (PCF) greater than 20% is assumed to be economically viable [10].