Abstract
In this study, a hybrid system for potential electricity generation for Rohingya refugees in Kutupalong camp, Ukhia, Cox's Bazar, Bangladesh is investigated. Six scenarios are considered, and an optimal configuration is chosen based on low cost of energy and low emission. The optimum system consists of a combination of Generator/PV Panel/Wind/Converter/Battery. The configuration has cost of energy of 0.35$ per kW, and the renewable fraction is found to be 87%. The proposed system is also environmentally friendly and the optimum system discharges less than 65%, 84%, and 61% emission when compared with grid, diesel, and kerosene respectively. From sustainability indicators, it was observed that the amount of diesel needed to be imported is 30%. Therefore, dependency on import is less, and this makes the proposed system highly reliable. Besides, this system does not use biomass to generate electricity. 87% resources come from renewable energy sources. So this system is highly sustainable. There is literally no idle time for equipment since their deployment is according to the demands of people. This idle time of equipment causes depreciation which in turn leads to less efficiency and higher cost.
| Original language | English |
|---|---|
| Article number | 116568 |
| Journal | Energy |
| Volume | 191 |
| DOIs | |
| State | Published - 15 Jan 2020 |
Bibliographical note
Publisher Copyright:© 2019 Elsevier Ltd
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Bangladesh
- Hybrid energy
- Life cycle emission
- Rohingya refugee
- Sustainability
- Techno-economic analysis
ASJC Scopus subject areas
- Civil and Structural Engineering
- Modeling and Simulation
- Renewable Energy, Sustainability and the Environment
- Building and Construction
- Fuel Technology
- Energy Engineering and Power Technology
- Pollution
- Mechanical Engineering
- General Energy
- Management, Monitoring, Policy and Law
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering
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