Bangladesh has been using fossil fuel sources for the last years to generate electricity. The electricity power generation capacity of Bangladesh must enlarge to support the increasing electricity demand nowadays. As the conventional fuel resources are limited on the earth, renewable resources (ex: PV, wind) must be used in the future. The aim of this study is to design a hybrid electricity and hydrogen production system with the photovoltaic, wind turbine, hydro, diesel generator, electrolyzer, and reformer using Hybrid Optimization Model for Electric Renewable (HOMER) software under the study area Delduar, Tangail, Bangladesh (2408.5/N, 89054.1/E). This research focuses on maximum electricity generation using renewable energy sources with a minimum cost of energy (COE). According to the Homer optimization model, the levelized cost of energy (COE) based on a PV-wind-hydro-diesel generator-electrolyzer-reformer-battery hybrid electricity generation system is $0.281, the net present cost is $3.22 million, and operating cost $60,401 with 99.5% renewable fraction respectively. Furthermore, the analysis confirms that hybrid PV-wind-hydro-diesel generator-hydrogen power plant construction in Delduar, Tangail area is economically feasible.

This paper proposes multiple optimal combinations of renewable and nonrenewable energy systems for Nilphamari, Bangladesh. The Nilphamari relies mainly on on-grid electricity system. Therefore, the optimal combination of hybrid energy systems related to renewable and nonrenewable options is proposed to mitigate grid dependency. This hybrid energy system generates electricity for the consumption loads of the project area in which the natural resource potentials like solar, wind, hydro, and diesel are available. All power sources and resources data are included in the Homer software carefully. Finally, the Homer software is applied for viable techno-economic investigations especially cost of energy (COE) and net present cost (NPC) for the proposed hybrid system in Nilphamari, Bangladesh. The optimization result indicates that $0.224/kWh is the minimal COE. The proposed system has an operating cost of $16,156.16, a COE of $0.241/kWh, an NPC of $2,961,790.00, and a CO2 output of 3,373 kg per year. The proposed system's legitimacy, as determined by the LCOE and the NPC, was confirmed by optimization analysis. Within a few years of the project's lifetime, the system is estimated to pay for itself completely. The evaluations yielded the best system configurations, hybrid system costs, fuel savings, and CO2 emission reductions.