Hybrid Renewable Energy Potential of Coastal Areas: A Comparative Study for Bangladesh

This study explores the hybrid renewable energy potential for three different coastal regions of Bangladesh that are Moheshkhali, Hatiya and Swandip. The hybrid energy based systems is considered to meet the electricity demand of the 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> people of each region. The possible produced electricity has been calculated based on the average wind speed data and sun incident energy of the mentioned regions. The analysis shows that Hatiya requires the highest number of PV modules and the maximum land areas whereas Moheshkhali requires the highest number of wind turbines for three different case scenarios. Sandip shows the lowest number of PV modules, turbines and least amount of land in each case as the population is lower in there.

Authors

Institutions

Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/wiecon-ece64149.2024.10914957
Primary Topic
Global Energy Security and Policy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hybrid Renewable Energy Potential of Coastal Areas: A Comparative Study for Bangladesh

A. S. Nazmul Huda, Mohaimenul Islam, Maliha Mahjabin
Global Energy Security and Policy
article

Hybrid Renewable Energy Potential of Coastal Areas: A Comparative Study for Bangladesh

A. S. Nazmul Huda, Mohaimenul Islam, Maliha Mahjabin
article en

Abstract

This study explores the hybrid renewable energy potential for three different coastal regions of Bangladesh that are Moheshkhali, Hatiya and Swandip. The hybrid energy based systems is considered to meet the electricity demand of the 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> people of each region. The possible produced electricity has been calculated based on the average wind speed data and sun incident energy of the mentioned regions. The analysis shows that Hatiya requires the highest number of PV modules and the maximum land areas whereas Moheshkhali requires the highest number of wind turbines for three different case scenarios. Sandip shows the lowest number of PV modules, turbines and least amount of land in each case as the population is lower in there.

BRAC University (BD)
Affordable and clean energy
Openalex Percentile: Top 50%
Global Energy Security and Policy
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.