Battery degradation in BESS use-cases with varying degradation models and stress factor assumptions
收藏DataCite Commons2022-04-14 更新2024-07-13 收录
下载链接:
https://mediatum.ub.tum.de/1652796
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资源简介:
This public dataset contains an adapted version of the time-series simulation tool “SimSES”, as used in an associated publication. Furthermore, results of the time-series simulation for two different degradation models ("NMC Schmalstieg" and "LFP Naumann") and three key applications of battery energy storage systems are included in this dataset (Frequency Containment Reserve, Peak Shaving and Self Consumption Increase with a home storage system). The results include scenarios in which individual stress factors of the models are fixed to either typical values from aging studies or average values for the respective application.
提供机构:
Technical University of Munich
创建时间:
2022-04-14



