Assessment of Promising Wind Energy Production Sites in Bangladesh using Energy Pattern Factor Method

Abstract

The wind power scenario of the most potential wind sites located in Bangladesh has been analyzed using Energy Pattern Factor (EPF) method and a wind turbine model has been proposed for the selected locations in this paper. Using the Energy Pattern Factor (EPF) approach, the possible wind power density of any location can be estimated, which requires less calculation and takes wind speed fluctuations into consideration. At first, the most potential wind sites have been identified by assessing the average wind speed data of last five years (2017–2021). After that, the most promising wind sites monthly Energy Pattern Factor (EPF) was computed using the 12-month average wind speed. Finally, by estimating wind power density, the site's entire wind energy situation has been examined. According to the findings, Sandwip has been recognized as the most promising site with the greatest average wind speed over the past five years, at <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$4.984\ m/s$</tex> . Additionally, with values of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$244.28\ w/m^{2}$</tex> and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$24.86\ w/m^{2}$</tex> respectively, July and February were the months with the highest and lowest power densities.