Comparative Performance of a Hydrogen Fuel Cell Integrated PV–Wind Hybrid Energy System with Gas-Turbine Backup Using NSGA-II and MOPSO
Date
2025-10-25
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Electrical and Electronic Engineering (EEE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh
Abstract
The intermittency of wind power and solar PV complicates grid stability and leads to higher
curtailment of renewables; in order to minimize such challenges this study conceptualizes
and designs an optimized hybrid large-scale renewable energy system comprising PV,
wind, an electrolyzer, fuel cell, hydrogen storage, gas-turbine backup, and optional
electrochemical storage to divide shortfall compensation below the turbine's minimum
load. Biomass plant dispatch and system capacity optimized based on a life-cycle
perspective, both the total CO₂ emissions (TCE) and levelized cost of energy (LCOE) were
minimized based on NSGA-II and MOPSO in MATLAB R2021a. Pareto analysis produced
apparent trade-offs: the cost-optimized solution had TCE ≈ 97,054 tCO₂ and LCOE of
0.1126 $/kWh (NSGA-II), and the optimized emission solution had its best TCE of 91,769
tCO₂ with an LCOE of 0.2119 $/kWh; a compromise solution did 0.1404 $/kWh and 93,325
tCO₂ (NSGA-II). Hydrogen storage with the gas turbine reduces curtailment and natural
gas consumption considerably but incurs higher capital cost; addition of electrochemical
storage maximizes turbine efficiency, minimizes fuel use, and maximizes overall economy.
Compared results show NSGA-II provides more accurate cost estimation at endpoints,
whereas MOPSO provides convergence and better distribution of Pareto front. Sensitivity
analyses reveal that reducing discount rates and reducing capital costs reduce LCOE (and
reduce TCE slightly), increased global horizontal irradiance increases cost and emissions,
and increased ambient temperature decreases performance; increasing component
efficiency reduces LCOE and TCE. The method gives a realistic decision-support tool for
planning low-carbon, cost-efficient Hybrid Renewable Energy Systems (HRES) in
Bangladesh and comparable emerging economies
Description
Supervised by
Dr. Ashik Ahmed,
Professor,
Department of Electrical and Electronic Engineering (EEE)
Islamic University of Technology (IUT)
Board Bazar, Gazipur, Bangladesh
This thesis is submitted in partial fulfillment of the requirement for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2025
Keywords
Citation
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