wiki.openmod-initiative.org - User contributions [en]

SimSES

2018-02-02T07:35:10Z

Maik Naumann:

{{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, Maik; Truong, Cong Nam (2017): SimSES - Software for techno-economic simulation of stationary energy storage systems.
|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/

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
}}

SimSES

2018-02-02T07:34:25Z

Maik Naumann:

{{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, 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; 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/

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
}}

File:SimSES Structure s.png

2018-02-02T07:27:15Z

Maik Naumann:

== Summary ==

== Licensing ==
{{license_ownwork_default}}

SimSES

2017-11-29T17:50:16Z

Maik Naumann: Initial description

{{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
}}