Evidence map›Paper›PMID 42277348›Full record

ArticleScientific reports2026

Design and optimization of a climate-resilient hybrid renewable microgrid for rural electrification in flood-affected regions.

Prapti Das, Taib Hasan, Md Feroz Ali, Obaidullah Obaidi, Md Shafiul Alam, Mohammad Ali, Imil Hamda Imran, Md Kamrul Islam

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Prapti DasDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, 6600, Bangladesh.
Taib HasanDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, 6600, Bangladesh.
Md Feroz AliDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, 6600, Bangladesh. feroz071021@gmail.com.
Obaidullah ObaidiDepartment of Energy Engineering, Faculty of Engineering, Kabul University, Kabul, 1006, Afghanistan. obaidullah.obaidi@ku.edu.af.
Md Shafiul AlamDepartment of Electrical Engineering, College of Engineering, King Faisal University, Al Ahsa, 31982, Saudi Arabia. shafiul@kfu.edu.sa.
Mohammad AliDepartment of Electrical Engineering, College of Engineering, King Faisal University, Al Ahsa, 31982, Saudi Arabia.
Imil Hamda ImranDepartment of Electrical Engineering, College of Engineering, King Faisal University, Al Ahsa, 31982, Saudi Arabia.
Md Kamrul IslamDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al Ahsa, 31982, Saudi Arabia.

Funding

King Faisal University KFU262561
6 · The paper itself

Abstract

Seasonal flooding in the wetland regions of rural Bangladesh frequently disrupts national grid infrastructure, leaving hundreds of thousands of households without reliable electricity access for extended periods, a critical energy vulnerability that conventional grid extension strategies have consistently failed to resolve. To address this challenge, this study designs and optimizes a hybrid renewable energy microgrid combining solar photovoltaic (PV) panels, wind turbines (WT), and a battery energy storage system (BESS), connected to the existing grid via a power converter, to provide reliable and affordable electricity to 200 rural households in Mithamain Upazila, Kishoreganj District, Bangladesh. The system, modeled using HOMER Pro (version 3.14.2), achieves a competitive cost of energy of $0.02995/kWh, which is comparable to conventional rural electricity tariffs. The system's net present cost is $107,712.60, with an initial investment of $48,107 and an annual operating cost of $895.93. Additionally, the system produces 73.9% of its energy from renewable sources, which reduces carbon dioxide emissions by 43,675 kg every year. Sensitivity analysis highlights the system's strength in different weather and economic situations, confirming that hybrid microgrids are a feasible and resilient solution for energy access in rural areas that have been hit by floods. This research demonstrates that hybrid renewable energy microgrids are a long-term, low-cost solution for rural electrification in flood-prone areas.

Indexed as

Battery energy storage systemCarbon emission mitigationGrid-connected microgridHybrid renewable energy microgridTechno-economic assessment

Identifiers

PMID42277348
PMCPMC13507234

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.