Battery Energy Storage Systems (BESS) are more and more competitive due to their increasing performances and decreasing costs. Although certain battery storage technologies may be mature and reliable from a technological perspective, with further cost reductions expected, the economic concern of battery systems is still a major barrier to be overcome before BESS can be fully utilized as a mainstream storage solution in the energy sector. Since the investment costs for deploying BESS are significant, one of the most crucial issues is to optimally size the battery system to balance the trade-off between using BESS to improve energy system performance and to achieve profitable investment. Determining the optimal BESS size for a specific application is a complex task because it relies on many factors, depending on the application itself, on the technical characteristics of the battery system and on the business model framework. This paper describes a generic simulation-based analytical method which has been developed to determine the BESS optimal size by taking into account both the application and the storage performance over its lifetime. Its implementation and the associated results are presented for two different BESS use cases: A smoothing and peak shaving application for PV injection and an off-grid hybrid microgrid case. In order to provide a better understanding of the most influencing drivers to consider during a BESS sizing procedure, several sensitivity analyses have been carried out on these two illustrative cases. The use of comparative scenarios led to quantify the degree of impact on optimal sizing results of several factors among the following topics: control strategy, forecast quality, degradation of battery performance due to ageing, precision of technical modelling.

中文翻译：

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BESS Optimal Sizing Methodology - 几个影响因素的影响程度

电池储能系统 (BESS) 由于性能提高和成本降低而越来越具有竞争力。尽管从技术角度来看，某些电池存储技术可能已经成熟可靠，随着成本的进一步降低，电池系统的经济问题仍然是一个需要克服的主要障碍，BESS才能作为能源领域的主流存储解决方案得到充分利用. 由于部署 BESS 的投资成本很高，因此最关键的问题之一是优化电池系统的大小，以平衡使用 BESS 提高能源系统性能和实现投资盈利之间的权衡。确定特定应用程序的最佳 BESS 大小是一项复杂的任务，因为它依赖于许多因素，取决于应用程序本身，关于电池系统的技术特性和商业模式框架。本文描述了一种通用的基于模拟的分析方法，该方法已开发用于通过考虑应用程序和其生命周期内的存储性能来确定 BESS 最佳大小。针对两个不同的 BESS 用例展示了其实施和相关结果：PV 注入的平滑和调峰应用以及离网混合微电网案例。为了更好地理解在 BESS 调整过程中要考虑的最具影响力的驱动因素，对这两个示例案例进行了若干敏感性分析。比较方案的使用导致量化以下主题中几个因素对最佳尺寸调整结果的影响程度：