Performance investigation of batteries supporting solar power in U.S.

Farzan ZareAfifi, Daniel Baerwaldt, Socheata Hour, Y. Xie, S. Kurtz
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Abstract

The use of batteries in energy storage power plants in the United States has increased significantly. A prime objective of the plants is to provide power in times of peak demand after being charged with renewable sources, mainly solar power. Modeling of solar adoption is largely dependent on understanding how solar and batteries work together, including the need to quantify the battery efficiency. In this study, the efficiency of the energy storage plants in U.S. was calculated based on U.S. Energy Information Administration (EIA) data. A mathematical model is proposed relating the efficiency and the number of cycles per month, grouping plants by installation year. We conclude that newer plants show higher efficiencies, and in the case of experiencing an average of one cycle per day, the newer plants show efficiencies of around 90%. Also, we see a lower efficiency for plants cycled less than five times per month. The efficiency is observed to be between 80% and 90% for batteries experiencing more than five full cycles each month.
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美国太阳能电池性能调查
在美国,电池在储能发电厂的使用显著增加。这些发电厂的主要目标是在使用可再生能源(主要是太阳能)充电后,在需求高峰时提供电力。太阳能应用的建模在很大程度上取决于对太阳能和电池如何协同工作的理解,包括量化电池效率的需要。在本研究中,基于美国能源信息署(EIA)的数据计算了美国储能工厂的效率。提出了按安装年份对电厂进行分组的效率与月循环数之间的数学模型。我们的结论是,新工厂的效率更高,在平均每天经历一个循环的情况下,新工厂的效率约为90%。此外,我们发现每月循环次数少于五次的工厂效率较低。据观察,对于每月经历5个以上完整周期的电池,效率在80%到90%之间。
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