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Document type:
Forschungsdaten 
Publication date:
14.04.2022 
Authors:
Collath, Nils; Tepe, Benedikt; Englberger, Stefan; Jossen, Andreas; Hesse, Holger 
Author affiliation:
TUM 
Publisher:
TUM 
Title:
Battery degradation in BESS use-cases with varying degradation models and stress factor assumptions 
Time of production:
25.03.2022 
Subject area:
ELT Elektrotechnik; TEC Technik, Ingenieurwissenschaften (allgemein) 
Resource type:
Simulationen / simulations 
Data type:
Programme und Anwendungen / software and applications 
Description:
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...    »
 
Method of data assessment:
Time-series simulations with the above mentioned adapted version of the software “SimSES”. The original repository of SimSES is accessible under the below link: https://gitlab.lrz.de/open-ees-ses/simses

 
Key words:
Degradation model, lithium-ion, battery energy storage system, SimSES, time-series simulation, stress factor 
Technical remarks:
View and download (22 GB total, 1755 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1652796):
rsync rsync://m1652796@dataserv.ub.tum.de/m1652796/ 
Language:
en 
Other rights:

Simulation Results: Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

Software (adapted version of SimSES): BSD 3-Clause License: https://opensource.org/licenses/BSD-3-Clause