Feasibility Analysis of Hybrid Green Power Generation System for Healthcare Institutions

Reliable and sustainable electricity supply is essential for healthcare facilities, where power interruptions can compromise critical medical services and patient safety. This study evaluates the techno-economic and environmental feasibility of a grid-connected hybrid green power generation system for healthcare institutions using the HOMER Pro optimization software. The proposed configuration comprises a 50 kW solar photovoltaic (PV) array, a 50 kW biogas generator, a 10 kW fuel cell integrated with a 10 kW electrolyzer and a 10 kg hydrogen storage tank, a 50 kW power converter, and grid connectivity. Simulation results demonstrate that the optimal hybrid system is both economically and technically viable, achieving an NPC of $168,314 and a COE of $0.156/kWh. The system generated sufficient electricity to export approximately 128,194 kWh/year of surplus power to the utility grid while purchasing only 19,239 kWh/year, indicating high energy generation capability, operational flexibility, and reduced dependence on grid electricity. Environmental assessment further revealed a renewable energy fraction of 93.2% with significantly reduced CO₂ emissions, highlighting the system's potential to mitigate environmental impacts. Sensitivity analysis confirmed that the proposed configuration remains economically attractive under a wide range of technical and financial uncertainties, demonstrating its robustness and resilience.

Authors

Institutions

Publication Details

Journal
Electrical Engineering and Energy (ELENE)
Published
2026-07-22
DOI
https://doi.org/10.64470/elene.2026.37
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

Feasibility Analysis of Hybrid Green Power Generation System for Healthcare Institutions

Paul Kusi
Electrical Engineering and Energy (ELENE)
Hybrid Renewable Energy Systems
article

Feasibility Analysis of Hybrid Green Power Generation System for Healthcare Institutions

Paul Kusi
article en

Abstract

Reliable and sustainable electricity supply is essential for healthcare facilities, where power interruptions can compromise critical medical services and patient safety. This study evaluates the techno-economic and environmental feasibility of a grid-connected hybrid green power generation system for healthcare institutions using the HOMER Pro optimization software. The proposed configuration comprises a 50 kW solar photovoltaic (PV) array, a 50 kW biogas generator, a 10 kW fuel cell integrated with a 10 kW electrolyzer and a 10 kg hydrogen storage tank, a 50 kW power converter, and grid connectivity. Simulation results demonstrate that the optimal hybrid system is both economically and technically viable, achieving an NPC of $168,314 and a COE of $0.156/kWh. The system generated sufficient electricity to export approximately 128,194 kWh/year of surplus power to the utility grid while purchasing only 19,239 kWh/year, indicating high energy generation capability, operational flexibility, and reduced dependence on grid electricity. Environmental assessment further revealed a renewable energy fraction of 93.2% with significantly reduced CO₂ emissions, highlighting the system's potential to mitigate environmental impacts. Sensitivity analysis confirmed that the proposed configuration remains economically attractive under a wide range of technical and financial uncertainties, demonstrating its robustness and resilience.

Electrical Engineering and Energy (ELENE)
Kumasi Technical University (GH)
Openalex Percentile: Top 21%
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.