Development of a Low Cost and Highly Efficient Hybrid Energy System for Rural Electrification

High cost of maintenance of electrical grid-extension and noise pollution and CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emission of Diesel Generator (DG) which are considered as the favorite energy sources for rural electrification necessitate the combination of Renewable Energy Sources (RES) as a viable solution. This paper determines the suitable blend of RES for electrification of Lemafu village in a bid to assess a low-cost investment of RES in Nigeria. The hybrid energy is achieved by mathematically modeling each component of the hybrid energy based on estimated load profile of the village. Then, BAT algorithm was employed as optimization technique to carried out optimal sizing and check the cost efficiency of the hybrid RES. Simulation was done using MATLAB R(2021a). The results showed that the hybrid RES with BAT algorithm for the village provide an appreciable reduction on the Cost of Energy (COE) production and CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emission with low cost of maintenance. This study would help power system operators in providing a good alternative to energy accessibility.

Authors

Institutions

Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/isneet64164.2024.10955976
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a Low Cost and Highly Efficient Hybrid Energy System for Rural Electrification

Isaiah G. Adebayo, Yanxia Sun, Umar Awal, Zenghui Wang
Hybrid Renewable Energy Systems
article

Development of a Low Cost and Highly Efficient Hybrid Energy System for Rural Electrification

Isaiah G. Adebayo, Yanxia Sun, Umar Awal, Zenghui Wang
article en

Abstract

High cost of maintenance of electrical grid-extension and noise pollution and CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emission of Diesel Generator (DG) which are considered as the favorite energy sources for rural electrification necessitate the combination of Renewable Energy Sources (RES) as a viable solution. This paper determines the suitable blend of RES for electrification of Lemafu village in a bid to assess a low-cost investment of RES in Nigeria. The hybrid energy is achieved by mathematically modeling each component of the hybrid energy based on estimated load profile of the village. Then, BAT algorithm was employed as optimization technique to carried out optimal sizing and check the cost efficiency of the hybrid RES. Simulation was done using MATLAB R(2021a). The results showed that the hybrid RES with BAT algorithm for the village provide an appreciable reduction on the Cost of Energy (COE) production and CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emission with low cost of maintenance. This study would help power system operators in providing a good alternative to energy accessibility.

University of South Africa (ZA), University of Johannesburg (ZA), Ladoke Akintola University of Technology (NG)
Affordable and clean energy
Openalex Percentile: Top 64%
Hybrid Renewable Energy Systems
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.

Development of a Low Cost and Highly Efficient Hybrid Energy System for Rural Electrification — Isaiah G. Adebayo, Yanxia Sun, et al. · (2024) | TGRS Research Map | TGRS