利用能源模式因子法评估孟加拉国有潜力的风能生产地点

Md Mahmudul Hasan, Pronay Dey, Israt Jahan Khan, Nahid-ur-Rahman Chowdhury
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摘要

本文采用能量模式因子(EPF)方法分析了孟加拉国最具潜力的风场的风力发电情景,并为所选地点提出了风力机模型。利用能量模式因子(EPF)方法,可以估计任意位置可能的风力密度,计算量少,且考虑了风速波动。首先,通过评估过去五年(2017-2021年)的平均风速数据,确定了最具潜力的风场。在此基础上,利用12个月平均风速计算了最有希望风场的月能量模式因子(EPF)。最后,通过估算风力密度,考察了场地的整体风能状况。根据调查结果,桑威迪普被认为是过去五年中平均风速最高的最有希望的地点,风速为4.984美元/秒美元。7月和2月的功率密度最高和最低,分别为$244.28\ w/m^{2}$和$24.86\ w/m^{2}$。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Promising Wind Energy Production Sites in Bangladesh using Energy Pattern Factor Method
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 $4.984\ m/s$. Additionally, with values of $244.28\ w/m^{2}$ and $24.86\ w/m^{2}$ respectively, July and February were the months with the highest and lowest power densities.
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