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Optimal Design of Hybrid Renewable Systems, Including Grid, PV, Bio Generator, Diesel Generator, and Battery

Meisheng HeSchool of Traffic and Transportation Engineering, Hunan Institute of Traffic Engineering, Hengyang 421001, ChinaHabib Forootan FardDepartment of Renewable Energies, Faculty of New Sciences and Technologies, University of Tehran, Tehran 1417935840, IranKhalid YahyaDepartment of Electrical and Electronics Engineering, Nisantasi University, Istanbul 34467, TurkeyMahmoud MohamedSchool of Engineering, Cardiff University, Cardiff CF24 3AA, UKIbrahim AlhamrouniBritish Malaysian Institute, Universiti Kuala Lumpur, Kuala Lumpur 50250, MalaysiaLilik Jamilatul AwalinDepartment of Electrical Engineering, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga, Surabaya 60115, Indonesia
2023en
ABI

Аннотация

Renewable energies are the best solutions to reduce CO2 emissions and supply reliable electricity. This study aims to find the best combination of various components considering economic, environmental, and technical factors together. The most important consideration factors are the limitation of using PV panels due to the land constraints and applying CO2 penalties where diesel generators and the grid are generating electricity. Findings show that providing electricity by hybrid systems would be useful even in the well-provided electricity regions by the grid with the least blackouts. The best combination of the proposed components, including PV, bio generator, diesel generator, batteries, and grid for the case study region where the load demand is 890 kWh/day and peak load is 167.2 kW, would be an off-grid hybrid system including PV, bio generator, diesel generator, and battery. The optimization results show an NPC (present value of the costs of investment and operation of a system over its lifetime) of $1.02 million and a COE (the average cost per capital of useful electricity produced by the system) of 0.188 $/kWh. Finally, due to the showing of the effect of different conditions on the optimization results and making the study usable for other circumstances of the case study region, some sensitivity analyses have been carried out.

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