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Modelling and Optimization of Hybrid Power System at Coastal Area

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dc.contributor.author Fardun, Morsalin Bin Mosharof
dc.contributor.author Sunny, Kazi Shaidul Islam
dc.contributor.author Satter, Md. Dara Abdus
dc.date.accessioned 2021-08-19T09:00:56Z
dc.date.available 2021-08-19T09:00:56Z
dc.date.issued 2019-04-04
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6014
dc.description.abstract As a developing country, Bangladesh is badly in need to get their power distribution to all sections of people. However, the amount of fossil fuel is decreasing gradually and in near future, it will be a burning question that how it could be possible to generate energy without this fuel. On the other hand, energy generation through fossil fuel is much more costly and environmentally harmful for such type of situation. In this study, we choose the most renowned heritage place in Bangladesh named Saint Martin Island. In this island, people are isolated from the main land of Bangladesh and also from the energy sector. It is literally impossible to get connected with national grid because of inconvenient placement of Saint Martin. Two renewable sources have been considered for this study- PV and Wind. For study and design the model HOMER software has been used. This hybrid power system solution can provide least cost and no harmful element for the environment. Resulted COE ($0.227/kWh) has been found through this system. Also on the basis of results, it has been proved that renewable energy perhaps replaces the conventional energy and would be a feasible solution for the generation of electric power at remote locations with a reasonable investment. en_US
dc.language.iso en_US en_US
dc.publisher 2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019, IEEE en_US
dc.subject Hybrid power systems en_US
dc.subject Renewable energy sources en_US
dc.subject Power distribution economics en_US
dc.title Modelling and Optimization of Hybrid Power System at Coastal Area en_US
dc.type Article en_US


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