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• W2891974538 abstract "Abstract This paper proposes a new methodology to find the most economic system configuration and energy management strategy for Li-ion battery based off-grid renewable energy systems. A system level macroscopic model and a microscopic battery lifetime prediction model are incorporated into the optimization framework to simulate hourly performance of the system. Due to the computational efficiency of the model, optimization is carried out using enumerative method (evaluating all the possible combinations of components and control strategies) to ensure finding the global optimum solution of the problem. To investigate the effectiveness of the proposed methodology, the optimization results are compared with a baseline scenario which is an installed PV-battery system to provide electricity for an isolated house situated near Zaragoza, Spain. Results indicate that the optimized scenario leads to 9.7% reduction in the levelized cost of energy and 48.6% improvement in the battery service period in comparison with the baseline scenario. Moreover, by considering a 0.5% unmet load, the economic feasibility of the system and the battery longevity are enhanced to 14.6% and 78.4%, respectively. Finally, to evaluate the effect of battery unit price and future trends on the optimization results, sensitivity analysis is performed." @default.
• W2891974538 created "2018-09-27" @default.
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• W2891974538 date "2018-11-01" @default.
• W2891974538 modified "2023-10-02" @default.
• W2891974538 title "A novel framework for optimization of size and control strategy of lithium-ion battery based off-grid renewable energy systems" @default.
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• W2891974538 doi "https://doi.org/10.1016/j.enconman.2018.08.107" @default.
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