SimSES - Software for techno-economic simulation of stationary energy storage systems
SimSES (Simulation of stationary energy storage systems) is an open source modeling framework for simulating stationary energy storage systems. The tool, developed in MATLAB, was initiated by Maik Naumann and Nam Truong and is now continuously improved by Daniel Kucevic at the Institute for Electrical Energy Storage Technology.
The software for techno-economic simulation of stationary energy storage systems (SimSES) enables a detailed simulation and evaluation of stationary energy storage systems with the current main focus on lithium-ion batteries. The main component of the modular and ﬂexible software-tool is an abstract approach to the energy storage model, which allows the variation of storage technologies and technical sub-components. Furthermore, stress characterization enables the estimation of the energy storage device’s degradation. Various aging models can be used for this purpose, whereby detailed models based on aging experiments especially for batteries are currently developed at the EES Institute. In order to optimize the utilization of the energy storage in the different applications, a large number of operating strategies are implemented. Time series simulations and built-in evaluations allow to calculate and monitor technical parameters for simulated storage operation. Furthermore, economic key performance indicators are derived and enable the assessment and comparison of the simulation results.
The program will be completely converted to Python by the end of the year 2019 and the source code will be published on GitHub without restriction.
The source code, which is used in the submitted Paper:
Standard Battery Energy Storage System Profiles: Analysis of various Applications for Stationary Lithium-Ion Battery Energy Storage Systems using a Holistic Simulation Framework
D.Kucevic, B.Tepe, S.Englberger, A.Parlikar, M.Muehlbauer, O.Bohlen, A.Jossen, H.Hesse
can be found here: https://github.com/dan-kuc/openSimSES
Parts of the input as well as a set of open data storage profiles can be found at the servers of TU Munich: https://mediatum.ub.tum.de/1510254
A more detailed overview to functionality and structural design of SimSES is provided in this publication:
M. Naumann, C. N. Truong, M. Schimpe, D. Kucevic, A. Jossen and H. C. Hesse, "SimSES: Software for techno-economic Simulation of Stationary Energy Storage Systems," International ETG Congress 2017, Bonn, Germany, 2017, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8278770&isnumber=8278714
If you use SimSES in your work, please cite this paper and the code using its DOI: 10.14459/2017mp1401541
The source code, load profiles for example simulations, and a documentation are available at Bitbucket under the BSD 3-clause License: https://bitbucket.org/Team_SES/opensimses
The tool has been used for several publications, including the following papers:
Englberger, S.; Hesse, H.; Kucevic, D.; Jossen, A. A Techno-Economic Analysis of Vehicle-to-Building: Battery Degradation and Efficiency Analysis in the Context of Coordinated Electric Vehicle Charging 2019, 12, doi:10.3390/en12050955.
Naumann, M.; Karl, R.Ch.; Truong, C.N.; Jossen, A.; Hesse, H.C. (2015): Lithium-ion Battery Cost Analysis in PV-household Application. In: Energy Procedia 73, S. 37–47. DOI: 10.1016/j.egypro.2015.07.555.
Truong, C.; Naumann, M.; Karl, R.; Müller, M.; Jossen, A.; Hesse, H. (2016): Economics of Residential Photovoltaic Battery Systems in Germany. The Case of Tesla’s Powerwall. In: Batteries 2 (2), S. 14–30. DOI: 10.3390/batteries2020014.
For further information or comments, please contact email@example.com.