RET Screen based feasibility study on the prospect of wind power generation along the coastal region of Chittagong, Bangladesh

S. M. N. Uddin, Md Bodrudduza, B. K. M. Mizanur Rahman, M. F. Khan
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引用次数: 2

Abstract

In this paper, a study has been made on the cost and performance analysis of wind power plant in the coastal region of Chittagong of Bangladesh using RET Screen software. Till to date, no reliable data on wind power is available on Bangladesh. Very recently, some organizations named BPDB, Bangladesh Metrological Department and CWET of India have taken up projects to study wind potential along the costal belt of Bangladesh. Among them BPDB has taken up several programs named WERM, SWERA and WRAP in the country [1]. As reliable data of wind is not available, proper design on wind power plant is not feasible. As a result, harnessing energy from wind remains a remote possibility. The power development board, Bangladesh (BPDB) installed 50 numbers of turbines in the costal belt of Kutubdia in the year March 2008 [2]. Unfortunately vary little amount of energy could be extracted so far and most of pillars and turbines are rushed and has become inoperative. The main reason for such set back is due to lack of proper feasibility study and reliable data on wind. Taking all those points in serious consideration, author in this paper have tried to collect a reliable data on wind along the costal belt of Chittagong and based on this data, possible power generation from wind is analysed through RET Screen. With this user friendly software, optimum number of units together with cost of energy (COE).
基于RET筛选的孟加拉吉大港沿海地区风力发电前景可行性研究
本文利用RET Screen软件对孟加拉国吉大港沿海地区的风力发电厂进行了成本和性能分析研究。到目前为止,还没有关于孟加拉国风力发电的可靠数据。最近,BPDB、孟加拉国气象部和印度CWET等组织开展了研究孟加拉国沿海地区风能潜力的项目。其中,BPDB在国内承接了WERM、SWERA、WRAP等多个项目[1]。由于没有可靠的风力数据,对风电场进行合理的设计是不可行的。因此,利用风能仍然是一种遥远的可能性。2008年3月,孟加拉国电力发展局(BPDB)在Kutubdia沿海地带安装了50台涡轮机[2]。不幸的是,到目前为止,可以提取的能量很少,大多数支柱和涡轮机都很匆忙,已经失效。出现这种情况的主要原因是缺乏适当的可行性研究和可靠的风力数据。考虑到这些问题,作者试图收集吉大港沿海一带的可靠风力数据,并在此基础上通过RET Screen对风力发电的可能性进行了分析。有了这个用户友好的软件,最佳数量的单位连同能源成本(COE)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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