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.

A flow chart of the tool can be found here.

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:

If you use SimSES in your work, please cite this paper and the code using its DOI: 10.14459/2017mp1401541

The tool has been used for several publications, including the following papers:

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.

The source code, load profiles for example simulations, and a documentation are available at Bitbucket under the BSD 3-clause License:

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