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     Research Journal of Applied Sciences, Engineering and Technology


Optimization and Generation of Electrical Energy using Wind Flow in Rural Area of Bangladesh

1Md. Sanwar Hossain, 2Bipul Kumar Raha, 3Dipankar Paul and 4Md. Ershadul Haque
1Department of EEE, Bangladesh University of Business and Technology, Dhaka, Bangladesh
2Operation and Maintenance, WÄRTSILÄ Bangladesh Limited, Bangladesh
3Operation and Maintenance, Huawei Technology Ltd., Bangladesh
4Department of Electrical, Electronics and System Engineering, Universiti Kebangsaan Malaysia (UKM), Selangor, 43600, Malaysia
Research Journal of Applied Sciences, Engineering and Technology  2015  8:895-902
http://dx.doi.org/10.19026/rjaset.10.2445  |  © The Author(s) 2015
Received: January ‎19, ‎2015  |  Accepted: February ‎27, ‎2015  |  Published: July 20, 2015

Abstract

In this study, wind data of different location of Bangladesh has been analyzed collected from Local Government Engineering Department (LGED). From some analyses, Kuakata sea region has been selected as proper location for establishing wind power system. Through proper investigation it has been tried to find out the way for developing sustainable wind energy system which is to be developed in the coastal area of Bangladesh. Besides it has been analyzed different turbines and found which is better for a particular location. It has been observed that to provide a sustainable wind energy system, a minimum wind velocity of 4 m/sec is needed for specific turbine. Diesel generator has been used to supply deficiency of wind system during lower wind flow. Besides, converter and battery have been set up to store excess power. All of the theoretical endeavours have been observed through simulation. World renowned software named ‘Homer’ has been used for simulation. Using this software sensitivity analysis and optimization have been accomplished. Through all these efforts it has been tried to propose how to set up optimum wind power system.

Keywords:

Diesel generator , hybrid system design , sensitivity analysis , wind data , wind turbine,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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