Techno-economic analysis results of BESS use-cases considering battery degradation model confidence intervals

This public dataset contains an adapted version of the time-series simulation tool “SimSES”. The adapted version allows to account for multiple parameter sets of a given degradation model in every simulation step, in order to assess the impact of degradation modelling uncertainty. Furthermore, simulation results for relevant confidence intervals (50 % , 90, %, 95 %, 99 %) with two degradation models are included for common use-cases of battery energy storage systems (BESS): Frequency Containment Reserve, Peak Shaving and Self Consumption Increase with a home storage system. Please refer to the readme-files that are part of the dataset for more detailed descriptions.

搜集汇总

背景与挑战

背景概述

该数据集提供了一个改编的时间序列模拟工具“SimSES”，用于评估电池储能系统（BESS）在常见使用案例（如频率控制储备、峰值削减和自消费提升）中的技术经济分析，特别考虑了电池退化模型的不确定性，并包含多个置信区间（50%、90%、95%、99%）的模拟结果。数据集由TUM和NREL的研究人员合作创建，基于模拟生成，适用于电池储能系统性能和经济性研究。