Economic, Technical and Environmental Feasibility Assessment of Microgrid Systems for Schools in Low-Income Countries

The global population has reached 8 billion, presenting significant challenges in providing universal access to electricity. These difficulties are made worse by rising global inflation, rising oil prices, and political instability, particularly as fossil fuel supplies are decreasing and environmental concerns are growing. Compared to fossil fuels, renewable energy is a sustainable substitute with lower carbon emissions. Our study focuses on low-income nations, with particular attention to Ethiopia, a country struggling with a serious electricity deficit, especially in its rural areas. Our analysis suggests a microgrid powered by renewable energy that is specifically designed for rural primary schools in Ethiopia and other low-income nations. This would help to improve electrification and support the Sustainable Development Goals (SDGs) 7, 12, and 13 of the UN. Our suggested model is a DC microgrid that can power educational infrastructure with or without an electric vehicle (EV) charging station. The levelized cost of energy (LCOE) for DC microgrids is 0.08 USD per unit, while AC microgrids have an LCOE of 0.11 USD per unit. This indicates that DC microgrids are more efficient and economical. Furthermore, our study examines the microgrid's environmental concerns. The DC microgrid's positive environmental effects are highlighted by its predicted 25-year reduction in CO2 emissions of 1.2 to 3.44 tCO2eq. Our study indicates that, out of the three microgrid options examined, the DC microgrid is the best option.

Authors

Institutions

Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/wiecon-ece64149.2024.10914857
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Economic, Technical and Environmental Feasibility Assessment of Microgrid Systems for Schools in Low-Income Countries

Md Masud Rana, Raisul Islam, Shawon Chowdhury, M. J. Safi
Smart Grid Energy Management
article

Economic, Technical and Environmental Feasibility Assessment of Microgrid Systems for Schools in Low-Income Countries

Md Masud Rana, Raisul Islam, Shawon Chowdhury, M. J. Safi
article en

Abstract

The global population has reached 8 billion, presenting significant challenges in providing universal access to electricity. These difficulties are made worse by rising global inflation, rising oil prices, and political instability, particularly as fossil fuel supplies are decreasing and environmental concerns are growing. Compared to fossil fuels, renewable energy is a sustainable substitute with lower carbon emissions. Our study focuses on low-income nations, with particular attention to Ethiopia, a country struggling with a serious electricity deficit, especially in its rural areas. Our analysis suggests a microgrid powered by renewable energy that is specifically designed for rural primary schools in Ethiopia and other low-income nations. This would help to improve electrification and support the Sustainable Development Goals (SDGs) 7, 12, and 13 of the UN. Our suggested model is a DC microgrid that can power educational infrastructure with or without an electric vehicle (EV) charging station. The levelized cost of energy (LCOE) for DC microgrids is 0.08 USD per unit, while AC microgrids have an LCOE of 0.11 USD per unit. This indicates that DC microgrids are more efficient and economical. Furthermore, our study examines the microgrid's environmental concerns. The DC microgrid's positive environmental effects are highlighted by its predicted 25-year reduction in CO2 emissions of 1.2 to 3.44 tCO2eq. Our study indicates that, out of the three microgrid options examined, the DC microgrid is the best option.

Daffodil International University (BD)
Openalex Percentile: Top 74%
Smart Grid Energy Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.