Design Optimization and Economic Analysis of a Hybrid System for a Hilly Area in Bangladesh

Citation

Das, Tushar Kumar and Islam, Rakibul and Khallil, Md. Ebrahim and Al Mamun, Abdullah Sarwar and Kundu, Diponkar and Rashid, Mamunur (2021) Design Optimization and Economic Analysis of a Hybrid System for a Hilly Area in Bangladesh. In: Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2020, 6 August 2020, Pahang, Malaysia.

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Abstract

The electrification of remote areas is an acute challenge globally, especially in emerging countries where it is more stringent, and Bangladesh is not any exception. Most of the country's remote regions lack grid supply, which obstructs not only the development of these regions but also the country's overall economic growth. This paper's objective is to design an off-grid hybrid energy system for a distant area to meet the daily load demand at the lowest possible cost. For the convenience of analysis and collection of datasets, Bandarban, Bangladesh, has been considered. The load details and available resources of the projected area are studied during the research. An optimization software HOMER assesses overall investigation. The outcome shows that a hybrid system consisting of PV, biomass, battery, and hydro is the most efficient system for the research area. The lowest COE of 0.128 $/kWh, NPC of $301,210, and CO2 emission of 17.6 kg/year are obtained from the results. And lastly, the outcomes are compared with other studies for validation. The analysis is performed to minimize the emission and upturn the effectiveness of the hybrid system with a relatively reduced cost.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Renewable energy sources
Subjects: T Technology > TJ Mechanical Engineering and Machinery > TJ807-830 Renewable energy sources
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 30 Jun 2021 09:24
Last Modified: 30 Jun 2021 13:52
URII: http://shdl.mmu.edu.my/id/eprint/8773

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