SimSES - Revision history

Ruben Chaer: Ruben Chaer moved page SimSEE to SimSES over redirect

2022-07-09T20:31:37Z

Ruben Chaer moved page SimSEE to SimSES over redirect

Ruben Chaer: Ruben Chaer moved page SimSES to SimSEE

2022-07-09T20:29:42Z

Ruben Chaer moved page SimSES to SimSEE

Daniel Kucevic at 10:14, 10 January 2022

2022-01-10T10:14:44Z

Daniel Kucevic at 09:26, 15 November 2018

2018-11-15T09:26:38Z

Maik Naumann at 07:35, 2 February 2018

2018-02-02T07:35:10Z

Maik Naumann at 07:34, 2 February 2018

2018-02-02T07:34:25Z

Maik Naumann: Initial description

2017-11-29T17:50:16Z

Initial description

New page

{{Model
|Full_Model_Name=Simulation of stationary energy storage systems
|Acronym=SimSES
|author_institution=Technical University of Munich
|authors=Maik Naumann, Nam Truong
|contact_persons=Maik Naumann, Nam Truong
|contact_email=simses.ees@ei.tum.de
|website=www.simses.org
|source_download=https://bitbucket.org/Team_SES/opensimses
|text_description=SimSES (Simulation of stationary energy storage systems) is an open source modeling framework for simulating stationary energy storage systems. The tool has been developed in MATLAB, mainly by Maik Naumann and Nam Truong at the Institute for Electrical Energy Storage Technology.
|User documentation=https://bitbucket.org/Team_SES/opensimses
|Code documentation=https://bitbucket.org/Team_SES/opensimses
|Number of developers=2
|open_source_licensed=Yes
|license=BSD 3-Clause "New" or "Revised" License (BSD-3-Clause)
|model_source_public=Yes
|Link to source=https://bitbucket.org/Team_SES/opensimses
|data_availability=all
|open_future=No
|modelling_software=Matlab
|processing_software=Matlab
|Additional software=Matlab
|GUI=No
|model_class=Electrical energy storage system
|sectors=Electricity,
|technologies=Renewables
|Demand sectors=Households, Industry, Commercial sector, Other
|Energy carriers (Renewable)=Sun, Wind
|Storage (Electricity)=Battery
|Storage (Gas)=No
|Storage (Heat)=No
|User behaviour=Load profiles
|Market models=Profiles
|decisions=dispatch
|Changes in efficiency=Temperature, power
|georegions=World
|timeresolution=Minute
|Observation period=Less than one month, Less than one year, More than one year
|Additional dimensions (Economical)=NPV, ROI, IRR, LCOE
|Additional dimensions (Other)=Battery aging, battery energy efficiency
|math_modeltype=Simulation
|math_modeltype_shortdesc=Power flow and state of charge calculation based on time series profiles
|is_suited_for_many_scenarios=Yes
|number_of_variables=>50
|montecarlo=Yes
|computation_time_minutes=27
|computation_time_hardware=Workstation
|computation_time_comments=20 years with 5 minute time step resolution
|citation_references=Naumann, M; Truong, C.N.; Schimpe, M. ; Kucevic, D.; Jossen, A.; Hesse, H.C. (2017): SimSES: Software for techno-economic Simulation of Stationary Energy Storage Systems. In: VDE-ETG-Kongress 2017. Bonn. Preprint accepted for publication in IEEE Conference Proceedings
|citation_doi=http://doi.org/10.14459/2017mp1401541
|report_references=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
|example_research_questions=Optimal system sizing and operation due to battery aging or economic results
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

@@ Line 48: / Line 48: @@
 |computation_time_comments=20 years with 5 minute time step resolution
 |citation_references=Naumann, Maik; Truong, Cong Nam (2017): SimSES - Software for techno-economic simulation of stationary energy storage systems.
-|citation_doi=http://doi.org/10.14459/2017mp1401541
+|citation_doi=10.14459/2017mp1401541
 |report_references=Naumann, M; Truong, C.N.; Schimpe, M.; Kucevic, D.; Jossen, A.; Hesse, H.C. (2017): SimSES: Software for techno-economic Simulation of Stationary Energy Storage Systems. In: VDE-ETG-Kongress 2017. Bonn. Preprint accepted for publication in IEEE Conference Proceedings. http://ieeexplore.ieee.org/document/8278770/

@@ Line 3: / Line 3: @@
 |Acronym=SimSES
 |author_institution=Technical University of Munich
-|authors=Maik Naumann, Nam Truong, Daniel Kucevic
+|authors=Marc Möller, Daniel Kucevic, Nils Collath, Anupam Parlikar, Petra Dotzauer, Benedikt Tepe, Stefan Englberger, Martin Cornejo, Andreas Jossen, Holger Hesse, Maik Naumann, Nam Truong
-|contact_persons=Daniel Kucevic
+|contact_persons=Martin Cornejo
-|contact_email=simses.ees@ei.tum.de
+|contact_email=simses.ees@ed.tum.de
-|website=www.simses.org
+|website=https://www.ei.tum.de/ees/simses/
-|source_download=https://bitbucket.org/Team_SES/opensimses
+|source_download=https://gitlab.lrz.de/open-ees-ses/simses
-|text_description=SimSES (Simulation of stationary energy storage systems) is an open source modeling framework for simulating stationary energy storage systems. The tool has been developed in MATLAB, mainly by Maik Naumann and Nam Truong at the Institute for Electrical Energy Storage Technology.
+|text_description=SimSES provides a library of state-the-art energy storage models by combining modularity of multiple topologies as well as the periphery of an ESS. This paper summarizes the structure as well as the capabilites of SimSES. Storage technology models based on current research for lithium-ion batteries, redox flow batteries, as well as hydrogen storage-based electrolysis and fuel cell are presented in detail. In addition, thermal models and their corresponding HVAC systems, housing, and ambient models are depicted. Power electronics are represented with AC/DC and DC/DC converters mapping the main losses of power electronics within a storage system. Additionally, auxiliary components like pumps, compressors, and HVAC are considered. Standard use cases like peak shaving, residential storage, and control reserve power provisions through dispatch of storage are discussed in this work, with the possibility to stack these applications in a multi-use scenario. The analysis is provided by technical and economic evaluations illustrated by KPIs.
-|User documentation=https://bitbucket.org/Team_SES/opensimses
+|User documentation=https://gitlab.lrz.de/open-ees-ses/simses
-|Code documentation=https://bitbucket.org/Team_SES/opensimses
+|Code documentation=https://gitlab.lrz.de/open-ees-ses/simses
-|Number of developers=2
+|Number of developers=6
 |open_source_licensed=Yes
 |license=BSD 3-Clause "New" or "Revised" License (BSD-3-Clause)
 |model_source_public=Yes
-|Link to source=https://bitbucket.org/Team_SES/opensimses
+|Link to source=https://gitlab.lrz.de/open-ees-ses/simses
 |data_availability=all
 |open_future=No
-|modelling_software=Matlab
+|modelling_software=Python
-|processing_software=Matlab
+|processing_software=Python
-|Additional software=Matlab
 |GUI=No
 |model_class=Electrical energy storage system
@@ Line 27: / Line 26: @@
 |Demand sectors=Households, Industry, Commercial sector, Other
 |Energy carriers (Renewable)=Sun, Wind
-|Storage (Electricity)=Battery
+|Storage (Electricity)=Battery, Chemical
 |Storage (Gas)=No
 |Storage (Heat)=No

@@ Line 23: / Line 23: @@
 |GUI=No
 |model_class=Electrical energy storage system
 |sectors=Electricity,
 |technologies=Renewables
 |Demand sectors=Households, Industry, Commercial sector, Other
@@ Line 47: / Line 47: @@
 |computation_time_hardware=Workstation
 |computation_time_comments=20 years with 5 minute time step resolution
-|citation_references=Naumann, M; Truong, C.N.; Schimpe, M. ; Kucevic, D.; Jossen, A.; Hesse, H.C. (2017): SimSES: Software for techno-economic Simulation of Stationary Energy Storage Systems. In: VDE-ETG-Kongress 2017. Bonn. Preprint accepted for publication in IEEE Conference Proceedings
+|citation_references=Naumann, Maik; Truong, Cong Nam (2017): SimSES - Software for techno-economic simulation of stationary energy storage systems.
 |citation_doi=http://doi.org/10.14459/2017mp1401541
-|report_references=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
+|report_references=Naumann, M; Truong, C.N.; Schimpe, M.; Kucevic, D.; Jossen, A.; Hesse, H.C. (2017): SimSES: Software for techno-economic Simulation of Stationary Energy Storage Systems. In: VDE-ETG-Kongress 2017. Bonn. Preprint accepted for publication in IEEE Conference Proceedings. http://ieeexplore.ieee.org/document/8278770/
 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