Optimizing renewable energy systems for 100 % clean energy target: A comparative study of solar, hydro, pumped hydro, and battery storage technologies

被引：0
|
作者：
Serat, Zainullah [1 ,2 ]
机构：
[1] China-EU Institute for Clean and Renewable Energy, Huazhong University of Science and Technology, Wuhan,430074, China
[2] Department of Energy Engineering, Faculty of Electromechanics, Ghazni Technical University, Ghazni,2301, Afghanistan
来源：
Journal of Energy Storage | 2024年 / 104卷
关键词：
Addressing global environmental concerns and rising energy demand underscores the urgent need for sustainable renewable energy solutions. This study introduces a novel optimization framework for 100 % hybrid renewable energy systems (HRES) tailored for rural electrification, utilizing HOMER software. This study conducts a comprehensive comparative analysis of mono-crystalline silicon (m-Si) and poly-crystalline silicon (p-Si) photovoltaic (PV) technologies, integrated with hydro, pumped hydro storage (PHS), and battery storage systems, from both energy performance and economic perspectives. The study examines three scenarios, m-Si and p-Si PV systems with PHS, m-Si, and p-Si PV systems with battery storage, and a direct comparison of the optimal configurations from these scenarios. The results indicate that the p-Si PV/Hybrid/PHS system, with a capacity of 162 kW PV, 25 kW hydro, and 1525 kWh PHS, is the most cost-effective and energy-efficient solution. This system generates 474,399 kWh annually, with a net present cost (NPC) of US$472,528.54 and a cost of energy (COE) of US$0.101/kWh. Its superior economic performance and minimized excess energy make it the optimal choice for sustainable energy generation in the targeted rural area. Sensitivity analysis further underscores the critical role of solar irradiation and hydro flow rates in cost minimization. These findings highlight the importance of site-specific customization of PV technology and storage solutions, offering actionable insights for the design and implementation of sustainable energy systems in rural and off-grid environments. By providing a detailed optimization framework, this study significantly advances the development of renewable energy solutions, with potential applications in similar settings. © 2024 Elsevier Ltd;
D O I：
10.1016/j.est.2024.114441
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