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

QuaSi - SoDeLe

2024-05-08T14:15:47Z

Heiner Steinacker: updated email adress

{{Model
|Full_Model_Name=Solar simulation as easy as can be
|Acronym=SoDeLe
|author_institution=siz energieplus
|authors=Heiner Steinacker, Jonas Mucke, Etienne Ott, Matthias Stickel
|contact_persons=Heiner Steinacker
|contact_email=info@quasi-software.org
|website=http://www.quasi-software.org/
|source_download=https://github.com/QuaSi-Software/SoDeLe/releases
|logo=230505 SoDeLe.jpg
|text_description=SoDeLe (loosely translated as "Solar simulation as easy as can be") is an easy-to-use tool for calculating energy profiles of photovoltaic systems. It is based on the well-validated python-pvlib, but offers a user-friendly GUI based on Excel (also a CLI with JSON input). SoDeLe can simulate PV systems with parameters from real PV modules and inverters with different orientations. Alternatively, preset standard modules and a constant DC-AC efficiency can be selected. The database of parameters contains more than 35,000 PV modules from various manufacturers.
The simulation is based on a weather file, which can be either an EWP file (EnergyPlus Weather File) or a .dat file from the German Weather Service (DWD).

With SoDeLe, the energy yield of planned or existing photovoltaic systems can be determined quickly and easily in high temporal resolution without much expert knowledge. The results can be used for dynamic energy system simulations, storage sizing or dynamic cost and greenhouse gas calculations. In addition, different orientations and different PV modules and inverters can be analyzed or the energy yield of existing systems can be checked if real historical weather data is used as input.

The results of SoDeLe were verified for different module-inverter configurations, orientations and locations using comparative simulations with the commercial software PV*SOL and with the annual totals calculated by PVGIS.
|Primary outputs=energy profiles
|Framework=QuaSi
|User documentation=https://quasi-software.readthedocs.io/en/latest/
|Code documentation=https://quasi-software.readthedocs.io/en/latest/
|Source of funding=German Federal Ministry for Economic Affairs and Climate Action, BMWK
|Number of developers=2
|Number of users=10
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/QuaSi-Software/SoDeLe
|data_availability=all
|open_future=No
|modelling_software=Python
|processing_software=Python, MS Excel
|External optimizer=none
|Additional software=none
|GUI=Yes
|model_class=PV energy production
|sectors=Electricity
|technologies=Renewables
|Energy carriers (Renewable)=Sun
|Storage (Gas)=No
|Storage (Heat)=No
|Changes in efficiency=temperature-dependent
|georegions=All
|timeresolution=Hour
|Observation period=More than one year
|math_modeltype=Simulation
|math_modeltype_shortdesc=physics-based with efficiency curves from CEC
|is_suited_for_many_scenarios=Yes
|number_of_variables=15
|montecarlo=No
|computation_time_minutes=1
|computation_time_hardware=business laptop
|citation_references=Heiner Steinacker, Jonas Mucke: SoDeLe v2.0.0: Solarsimulation denkbar leicht. 2024
|Integrated models=pvlib
|Interfaces=CLI, MS Excel, JSON
|Model input file format=Yes
|Model file format=No
|Model output file format=No
}}

QuaSi - ReSiE

2024-05-08T14:15:25Z

Heiner Steinacker: updated email adress

{{Model
|Full_Model_Name=computational core for the simulation of energy systems
|Acronym=ReSiE
|author_institution=siz energieplus
|authors=Etienne Ott, Heiner Steinacker, Matthias Stickel
|contact_persons=Etienne Ott, Heiner Steinacker, Matthias Stickel
|contact_email=info@quasi-software.org
|website=http://www.quasi-software.org/
|source_download=https://github.com/QuaSi-Software
|logo=230505 Logo Resie.jpg
|text_description=ReSiE is a software tool that simulates energy supply concepts for buildings, focusing on renewable energy, sector coupling and individual operating strategies. It is part of the QuaSi project that includes additional tools and can be used for individual buildings up to district-level or cities. Unlike many other tools based on systems of equations, ReSiE uses rule-based algorithms, system dynamics and an agent-based approach. This approach enables detailed simulations without linearization, capturing energy flow and system state in each time step. The central mathematical model is based on energy balances and the order of the energy calculations that is determined during preprocessing. In addition, ReSiE is suitable to perform black-box optimizations for optimal component sizing. The model can be easily extended by any energy carriers and additional components or storages of variable complexity. More information is available in the documentation: https://quasi-software.readthedocs.io/en/latest/

Note: ReSiE is currently under development!
|Primary outputs=sizing, LCC, LCA, Energy flows
|Framework=QuaSi
|User documentation=https://quasi-software.readthedocs.io/en/latest/
|Code documentation=https://quasi-software.readthedocs.io/en/latest/
|Source of funding=German Federal Ministry for Economic Affairs and Climate Action, BMWK
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/QuaSi-Software/resie
|data_availability=all
|open_future=No
|modelling_software=Julia
|processing_software=Julia
|GUI=No
|model_class=multi energy systems in urban scale
|sectors=all sectors incl. heat, cold, hydrogen, electricity
|technologies=Renewables, Conventional Generation, CHP
|Demand sectors=Households, Industry, Transport, Commercial sector
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carriers (Solid)=Biomass, Coal, Lignite
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Transfer (Electricity)=Distribution, Transmission
|Transfer (Gas)=Distribution, Transmission
|Transfer (Heat)=Distribution, Transmission
|Storage (Electricity)=Battery
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=energy demands are input for ReSiE
|decisions=dispatch, investment
|Changes in efficiency=part-load depended efficiencies are included
|georegions=depends on user
|georesolution=depends on user
|timeresolution=15 Minute
|network_coverage=transmission, distribution
|Observation period=More than one year
|Additional dimensions (Ecological)=greenhouse gas emissions
|Additional dimensions (Economical)=LCC
|math_modeltype=Simulation, Other
|math_modeltype_shortdesc=rule-based algorithms, system dynamics
|math_objective=energy balances
|deterministic=sensitivity analysis
|is_suited_for_many_scenarios=Yes
|montecarlo=No
|computation_time_comments=several minutes on business laptop, depending on model complexity and time-step
|citation_references=Ott, E.; Steinacker, H.; Stickel, M.; Kley, C. and Fisch, M.N.: Dynamic open-source simulation engine for generic modeling of district-scale energy systems with focus on sector coupling and complex operational strategies, 2023, Journal of Physics: Conference Series, 2600 022009
|citation_doi=10.1088/1742-6596/2600/2/022009
|Model validation=extended test framwork included, validation against other tools and measurement data is in planning
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

QuaSi - GenSim

2024-05-08T14:13:55Z

Heiner Steinacker: updated email adress

{{Model
|Full_Model_Name=Generic Model for Thermal Building Simulation
|Acronym=GenSim
|author_institution=siz energieplus
|authors=Tobias Maile, Simon Marx, Etienne Ott, Moira Peter, Heiner Steinacker, Matthias Stickel
|contact_persons=Etienne Ott, Matthias Stickel
|contact_email=info@quasi-software.org
|website=http://www.quasi-software.org/
|source_download=https://github.com/QuaSi-Software/GenSim
|logo=230505 GenSim.jpg
|text_description=GenSim - for "generic building simulation" - is a building simulation software using the EnergyPlus® simulation engine to generate high-resolution heating and cooling demand profiles as well as electricity demand profiles for buildings with various types of use. "Generic" in this context refers to a "generally valid" building model. This means that the software is versatile enough to simulate any type of building in a very flexible and simplified way, enabling users to efficiently adapt the software for any building design.

GenSim was specifically devloped for the use during project pre-planning where detailed simulations of buildings are challenging due to typically constrained time budgets and limited availability of information. Traditional simulation tools require extensive input data, making the process time-consuming. GenSim addresses this by providing presets for multiple building typologies and a streamlined approach for quick, simple, yet accurate building simulations. This is particularly valuable in early planning stages when only rough data about the planned buildings is available. If more detailed information (wall structure, detailed geometry, specific use, ...) is available about the building to be examined, this can be used for more precise results.

More information is available in the documentation: https://quasi-software.readthedocs.io/en/latest/gensim_user_manual/
|Primary outputs=energy demands of a building (heating, cooling, electricity)
|Framework=QuaSi
|User documentation=https://quasi-software.readthedocs.io/en/latest/gensim_user_manual/
|Code documentation=https://quasi-software.readthedocs.io/en/latest/
|Source of funding=German Federal Ministry for Economic Affairs and Climate Action, BMWK
|Number of developers=4
|Number of users=20
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/QuaSi-Software/GenSim
|data_availability=all
|open_future=No
|modelling_software=EnergyPlus, OpenStudio, MS Excel, Ruby
|processing_software=MS Excel
|Additional software=OpenStudio
|GUI=Yes
|model_class=building energy demand
|sectors=electricity, heat, cold
|Demand sectors=Households, Industry, Commercial sector
|Storage (Gas)=No
|Storage (Heat)=No
|User behaviour=typical days
|georegions=All
|timeresolution=15 Minute
|Observation period=Less than one year, More than one year
|math_modeltype=Simulation
|math_modeltype_shortdesc=EnergyPlus is used to perform a thermal building simulation
|is_suited_for_many_scenarios=No
|montecarlo=No
|computation_time_minutes=3
|computation_time_hardware=business laptop
|computation_time_comments=more with complex geomety of the building
|citation_references=Maile, T.; Steinacker, H.; Stickel, M.W.; Ott, E.; Kley, C. Automated Generation of Energy Profiles for Urban Simulations. Energies 2023, 16, 6115.
|citation_doi=10.3390/en16176115
|report_references=To cite a specific version of GenSim, use:

Maile, T., Marx, S., Ott, E., Peter, M., Steinacker, H., & Stickel, M. (2023). GenSim v2.15 - Generic Building Simulation (part of QuaSi) (release). Zenodo. https://doi.org/10.5281/zenodo.10200807
|Model validation=extended test framwork included, validation against other DesignBuilder and Measurement data has been performed in the above paper. The tool was used for multiple years in many project.
|Interfaces=command-line-interface
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

QuaSi - SoDeLe

2024-05-03T15:17:08Z

Heiner Steinacker:

{{Model
|Full_Model_Name=Solar simulation as easy as can be
|Acronym=SoDeLe
|author_institution=siz energieplus
|authors=Heiner Steinacker, Jonas Mucke, Etienne Ott, Matthias Stickel
|contact_persons=Heiner Steinacker
|contact_email=info@siz-energieplus.de
|website=http://www.quasi-software.org/
|source_download=https://github.com/QuaSi-Software/SoDeLe/releases
|logo=230505 SoDeLe.jpg
|text_description=SoDeLe (loosely translated as "Solar simulation as easy as can be") is an easy-to-use tool for calculating energy profiles of photovoltaic systems. It is based on the well-validated python-pvlib, but offers a user-friendly GUI based on Excel (also a CLI with JSON input). SoDeLe can simulate PV systems with parameters from real PV modules and inverters with different orientations. Alternatively, preset standard modules and a constant DC-AC efficiency can be selected. The database of parameters contains more than 35,000 PV modules from various manufacturers.
The simulation is based on a weather file, which can be either an EWP file (EnergyPlus Weather File) or a .dat file from the German Weather Service (DWD).

With SoDeLe, the energy yield of planned or existing photovoltaic systems can be determined quickly and easily in high temporal resolution without much expert knowledge. The results can be used for dynamic energy system simulations, storage sizing or dynamic cost and greenhouse gas calculations. In addition, different orientations and different PV modules and inverters can be analyzed or the energy yield of existing systems can be checked if real historical weather data is used as input.

The results of SoDeLe were verified for different module-inverter configurations, orientations and locations using comparative simulations with the commercial software PV*SOL and with the annual totals calculated by PVGIS.
|Primary outputs=energy profiles
|Framework=QuaSi
|User documentation=https://quasi-software.readthedocs.io/en/latest/
|Code documentation=https://quasi-software.readthedocs.io/en/latest/
|Source of funding=German Federal Ministry for Economic Affairs and Climate Action, BMWK
|Number of developers=2
|Number of users=10
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/QuaSi-Software/SoDeLe
|data_availability=all
|open_future=No
|modelling_software=Python
|processing_software=Python, MS Excel
|External optimizer=none
|Additional software=none
|GUI=Yes
|model_class=PV energy production
|sectors=Electricity
|technologies=Renewables
|Energy carriers (Renewable)=Sun
|Storage (Gas)=No
|Storage (Heat)=No
|Changes in efficiency=temperature-dependent
|georegions=All
|timeresolution=Hour
|Observation period=More than one year
|math_modeltype=Simulation
|math_modeltype_shortdesc=physics-based with efficiency curves from CEC
|is_suited_for_many_scenarios=Yes
|number_of_variables=15
|montecarlo=No
|computation_time_minutes=1
|computation_time_hardware=business laptop
|citation_references=Heiner Steinacker, Jonas Mucke: SoDeLe v2.0.0: Solarsimulation denkbar leicht. 2024
|Integrated models=pvlib
|Interfaces=CLI, MS Excel, JSON
|Model input file format=Yes
|Model file format=No
|Model output file format=No
}}

QuaSi - SoDeLe

2024-05-03T14:47:09Z

Heiner Steinacker: Created page with "{{Model |Full_Model_Name=Solar simulation as easy as can be |Acronym=SoDeLe |author_institution=siz energieplus |authors=Heiner Steinacker, Jonas Mucke, Etienne Ott, Matthias ..."

{{Model
|Full_Model_Name=Solar simulation as easy as can be
|Acronym=SoDeLe
|author_institution=siz energieplus
|authors=Heiner Steinacker, Jonas Mucke, Etienne Ott, Matthias Stickel
|contact_persons=Heiner Steinacker
|contact_email=info@siz-energieplus.de
|website=http://www.quasi-software.org/
|source_download=https://github.com/QuaSi-Software/SoDeLe/releases
|logo=230505 SoDeLe.jpg
|text_description=SoDeLe (loosely translated as "Solar simulation as easy as can be") is an easy-to-use tool for calculating energy profiles of photovoltaic systems. It is based on the well-validated python-pvlib, but offers a user-friendly GUI based on Excel (also a CLI with JSON input). SoDeLe can simulate PV systems with parameters from real PV modules and inverters with different orientations. Alternatively, preset standard modules and a constant DC-AC efficiency can be selected. The database of parameters contains more than 35,000 PV modules from various manufacturers.
The simulation is based on a weather file, which can be either an EWP file (EnergyPlus Weather File) or a .dat file from the German Weather Service (DWD).

With SoDeLe, the energy yield of planned or existing photovoltaic systems can be determined quickly and easily in high temporal resolution without much expert knowledge. The results can be used for dynamic energy system simulations, storage sizing or dynamic cost and greenhouse gas calculations. In addition, different orientations and different PV modules and inverters can be analyzed or the energy yield of existing systems can be checked if real historical weather data is used as input.

The results of SoDeLe were verified for different module-inverter configurations, orientations and locations using comparative simulations with the commercial software PV*SOL and with the annual totals calculated by PVGIS.

|Primary purpose=PV energy simulation
|Primary outputs=energy profiles
|Framework=QuaSi
|User documentation=https://quasi-software.readthedocs.io/en/latest/
|Code documentation=https://quasi-software.readthedocs.io/en/latest/
|Source of funding=German Federal Ministry for Economic Affairs and Climate Action, BMWK
|Number of developers=2
|Number of users=10
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/QuaSi-Software/SoDeLe
|data_availability=all
|open_future=No
|modelling_software=Python
|processing_software=Python, MS Excel
|External optimizer=none
|Primary purpose=PV energy simulation
|Additional software=none
|GUI=Yes
|model_class=PV energy production
|sectors=Electricity
|technologies=Renewables
|Energy carriers (Renewable)=Sun
|Storage (Gas)=No
|Storage (Heat)=No
|Changes in efficiency=temperature-dependent
|georegions=All
|timeresolution=Hour
|Observation period=More than one year
|math_modeltype=Simulation
|math_modeltype_shortdesc=physics-based efficiency curves from CEC
|is_suited_for_many_scenarios=Yes
|number_of_variables=15
|montecarlo=No
|computation_time_minutes=1
|computation_time_hardware=business laptop
|citation_references=Heiner Steinacker, Jonas Mucke: SoDeLe v2.0.0: Solarsimulation denkbar leicht. 2024
|Integrated models=pvlib
|Interfaces=CLI, MS Excel, JSON
|Model input file format=Yes
|Model file format=No
|Model output file format=No
}}

File:230505 SoDeLe.jpg

2024-05-03T14:36:25Z

Heiner Steinacker:

== Summary ==

== Licensing ==
{{license_ownwork_default}}

QuaSi - ReSiE

2023-12-04T13:40:36Z

Heiner Steinacker:

{{Model
|Full_Model_Name=computational core for the simulation of energy systems
|Acronym=ReSiE
|author_institution=siz energieplus
|authors=Etienne Ott, Heiner Steinacker, Matthias Stickel
|contact_persons=Etienne Ott, Heiner Steinacker, Matthias Stickel
|contact_email=info@siz-energieplus.de
|website=http://www.quasi-software.org/
|source_download=https://github.com/QuaSi-Software
|logo=230505 Logo Resie.jpg
|text_description=ReSiE is a software tool that simulates energy supply concepts for buildings, focusing on renewable energy, sector coupling and individual operating strategies. It is part of the QuaSi project that includes additional tools and can be used for individual buildings up to district-level or cities. Unlike many other tools based on systems of equations, ReSiE uses rule-based algorithms, system dynamics and an agent-based approach. This approach enables detailed simulations without linearization, capturing energy flow and system state in each time step. The central mathematical model is based on energy balances and the order of the energy calculations that is determined during preprocessing. In addition, ReSiE is suitable to perform black-box optimizations for optimal component sizing. The model can be easily extended by any energy carriers and additional components or storages of variable complexity. More information is available in the documentation: https://quasi-software.readthedocs.io/en/latest/

Note: ReSiE is currently under development!
|Primary outputs=sizing, LCC, LCA, Energy flows
|Framework=QuaSi
|User documentation=https://quasi-software.readthedocs.io/en/latest/
|Code documentation=https://quasi-software.readthedocs.io/en/latest/
|Source of funding=German Federal Ministry for Economic Affairs and Climate Action, BMWK
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/QuaSi-Software/resie
|data_availability=all
|open_future=No
|modelling_software=Julia
|processing_software=Julia
|GUI=No
|model_class=multi energy systems in urban scale
|sectors=all sectors incl. heat, cold, hydrogen, electricity
|technologies=Renewables, Conventional Generation, CHP
|Demand sectors=Households, Industry, Transport, Commercial sector
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carriers (Solid)=Biomass, Coal, Lignite
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Transfer (Electricity)=Distribution, Transmission
|Transfer (Gas)=Distribution, Transmission
|Transfer (Heat)=Distribution, Transmission
|Storage (Electricity)=Battery
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=energy demands are input for ReSiE
|decisions=dispatch, investment
|Changes in efficiency=part-load depended efficiencies are included
|georegions=depends on user
|georesolution=depends on user
|timeresolution=15 Minute
|network_coverage=transmission, distribution
|Observation period=More than one year
|Additional dimensions (Ecological)=greenhouse gas emissions
|Additional dimensions (Economical)=LCC
|math_modeltype=Simulation, Other
|math_modeltype_shortdesc=rule-based algorithms, system dynamics
|math_objective=energy balances
|deterministic=sensitivity analysis
|is_suited_for_many_scenarios=Yes
|montecarlo=No
|computation_time_comments=several minutes on business laptop, depending on model complexity and time-step
|citation_references=Ott, E.; Steinacker, H.; Stickel, M.; Kley, C. and Fisch, M.N.: Dynamic open-source simulation engine for generic modeling of district-scale energy systems with focus on sector coupling and complex operational strategies, 2023, Journal of Physics: Conference Series, 2600 022009
|citation_doi=10.1088/1742-6596/2600/2/022009
|Model validation=extended test framwork included, validation against other tools and measurement data is in planning
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

QuaSi - ReSiE

2023-12-04T11:22:31Z

Heiner Steinacker:

{{Model
|Full_Model_Name=computational core for the simulation of energy systems
|Acronym=ReSiE
|author_institution=siz energieplus
|authors=Etienne Ott, Heiner Steinacker, Matthias Stickel
|contact_persons=Etienne Ott, Heiner Steinacker, Matthias Stickel
|contact_email=info@siz-energieplus.de
|website=http://www.quasi-software.org/
|source_download=https://github.com/QuaSi-Software
|logo=230505 Logo Resie.jpg
|text_description=ReSiE is a software tool that simulates energy supply concepts for buildings, focusing on renewable energy, sector coupling and individual operating strategies. It is part of the QuaSi project that includes additional tools and can be used for individual buildings up to district-level or cities. Unlike many other tools based on systems of equations, ReSiE uses rule-based algorithms, system dynamics and an agent-based approach. This approach enables detailed simulations without linearization, capturing energy flow and system state in each time step. The central mathematical model is based on energy balances and the order of the energy calculations that is determined during preprocessing. In addition, ReSiE is suitable to perform black-box optimizations for optimal component sizing. The model can be easily extended by any energy carriers and additional components or storages of variable complexity. More information is available in the documentation: https://quasi-software.readthedocs.io/en/latest/

Note: ReSiE is currently under development!
|Primary outputs=sizing, LCC, LCA, Energy flows
|Framework=QuaSi
|User documentation=https://quasi-software.readthedocs.io/en/latest/
|Code documentation=https://quasi-software.readthedocs.io/en/latest/
|Source of funding=German Federal Ministry for Economic Affairs and Climate Action, BMWK
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/QuaSi-Software/resie
|data_availability=all
|open_future=No
|modelling_software=Julia
|processing_software=Julia
|GUI=No
|model_class=multi energy systems in urban scale
|sectors=all sectors incl. heat, cold, hydrogen, electricity
|technologies=Renewables, Conventional Generation, CHP
|Demand sectors=Households, Industry, Transport, Commercial sector
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carriers (Solid)=Biomass, Coal, Lignite
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Transfer (Electricity)=Distribution, Transmission
|Transfer (Gas)=Distribution, Transmission
|Transfer (Heat)=Distribution, Transmission
|Storage (Electricity)=Battery
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=energy demands are input for ReSiE
|decisions=dispatch, investment
|Changes in efficiency=part-load depended efficiencies are included
|georegions=depends on user
|georesolution=depends on user
|timeresolution=15 Minute
|network_coverage=transmission, distribution
|Observation period=More than one year
|Additional dimensions (Ecological)=greenhouse gas emissions
|Additional dimensions (Economical)=LCC
|math_modeltype=Simulation, Other
|math_modeltype_shortdesc=rule-based algorithms, system dynamics
|math_objective=energy balances
|deterministic=sensitivity analysis
|is_suited_for_many_scenarios=Yes
|montecarlo=No
|computation_time_comments=several minutes on business laptop, depending on model complexity and time-step
|citation_references=Ott, E.; Steinacker, H.; Stickel, M.; Kley, C. and Fisch, M.N.: Dynamic open-source simulation engine for generic modeling of district-scale energy systems with focus on sector coupling and complex operational strategies, 2023, Journal of Physics: Conference Series, 2600 022009
|citation_doi=https://doi.org/10.1088/1742-6596/2600/2/022009
|Model validation=extended test framwork included, validation against other tools and measurement data is in planning
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

Talk:QuaSi - GenSim

2023-11-28T09:24:08Z

Heiner Steinacker: Created page with " Fell free to start a discussion or ask questions :)"

Fell free to start a discussion or ask questions :)

QuaSi - GenSim

2023-11-23T15:29:04Z

Heiner Steinacker: Created page with "{{Model |Full_Model_Name=Generic Model for Thermal Building Simulation |Acronym=GenSim |author_institution=siz energieplus |authors=Tobias Maile, Simon Marx, Etienne Ott, Moir..."

{{Model
|Full_Model_Name=Generic Model for Thermal Building Simulation
|Acronym=GenSim
|author_institution=siz energieplus
|authors=Tobias Maile, Simon Marx, Etienne Ott, Moira Peter, Heiner Steinacker, Matthias Stickel
|contact_persons=Etienne Ott, Matthias Stickel
|contact_email=info@siz-energieplus.de
|website=http://www.quasi-software.org/
|source_download=https://github.com/QuaSi-Software/GenSim
|logo=230505 GenSim.jpg
|text_description=GenSim - for "generic building simulation" - is a building simulation software using the EnergyPlus® simulation engine to generate high-resolution heating and cooling demand profiles as well as electricity demand profiles for buildings with various types of use. "Generic" in this context refers to a "generally valid" building model. This means that the software is versatile enough to simulate any type of building in a very flexible and simplified way, enabling users to efficiently adapt the software for any building design.

GenSim was specifically devloped for the use during project pre-planning where detailed simulations of buildings are challenging due to typically constrained time budgets and limited availability of information. Traditional simulation tools require extensive input data, making the process time-consuming. GenSim addresses this by providing presets for multiple building typologies and a streamlined approach for quick, simple, yet accurate building simulations. This is particularly valuable in early planning stages when only rough data about the planned buildings is available. If more detailed information (wall structure, detailed geometry, specific use, ...) is available about the building to be examined, this can be used for more precise results.

More information is available in the documentation: https://quasi-software.readthedocs.io/en/latest/gensim_user_manual/
|Primary purpose=thermal building simulation
|Primary outputs=energy demands of a building (heating, cooling, electricity)
|Framework=QuaSi
|User documentation=https://quasi-software.readthedocs.io/en/latest/gensim_user_manual/
|Code documentation=https://quasi-software.readthedocs.io/en/latest/
|Source of funding=German Federal Ministry for Economic Affairs and Climate Action, BMWK
|Number of developers=4
|Number of users=20
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/QuaSi-Software/GenSim
|data_availability=all
|open_future=No
|modelling_software=EnergyPlus, OpenStudio, MS Excel, Ruby
|processing_software=MS Excel
|Primary purpose=thermal building simulation
|Additional software=OpenStudio
|GUI=Yes
|model_class=building energy demand
|sectors=electricity, heat, cold
|Demand sectors=Households, Industry, Commercial sector
|Storage (Gas)=No
|Storage (Heat)=No
|User behaviour=typical days
|georegions=All
|timeresolution=15 Minute
|Observation period=Less than one year, More than one year
|math_modeltype=Simulation
|math_modeltype_shortdesc=EnergyPlus is used to perform a thermal building simulation
|is_suited_for_many_scenarios=No
|montecarlo=No
|computation_time_minutes=3
|computation_time_hardware=business laptop
|computation_time_comments=more with complex geomety of the building
|citation_references=Maile, T.; Steinacker, H.; Stickel, M.W.; Ott, E.; Kley, C. Automated Generation of Energy Profiles for Urban Simulations. Energies 2023, 16, 6115.
|citation_doi=10.3390/en16176115
|report_references=To cite a specific version of GenSim, use:

Maile, T., Marx, S., Ott, E., Peter, M., Steinacker, H., & Stickel, M. (2023). GenSim v2.15 - Generic Building Simulation (part of QuaSi) (release). Zenodo. https://doi.org/10.5281/zenodo.10200807

|Model validation=extended test framwork included, validation against other DesignBuilder and Measurement data has been performed in the above paper. The tool was used for multiple years in many project.
|Interfaces=command-line-interface
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

File:230505 GenSim.jpg

2023-11-23T14:15:05Z

Heiner Steinacker:

== Summary ==

== Licensing ==
{{license_otherswork}}

Talk:QuaSi - ReSiE

2023-09-05T13:02:04Z

Heiner Steinacker: Created page with " Feel free to ask any questions!"

Feel free to ask any questions!

Siz energieplus

2023-09-05T12:57:33Z

Heiner Steinacker:

{{Institution
|Full Name=Steinbeis Innovationszentrum energieplus
|Abbreviation=siz energieplus
|Website=https://siz-energieplus.de
|Address=Hamburger Straße 277, 38114 Braunschweig
|Email=info@siz-energieplus.de
}}
<br/>

QuaSi - ReSiE

2023-09-05T12:50:41Z

Heiner Steinacker: created page

{{Model
|Full_Model_Name=computational core for the simulation of energy systems
|Acronym=ReSiE
|author_institution=siz energieplus
|authors=Etienne Ott, Heiner Steinacker, Matthias Stickel
|contact_persons=Etienne Ott, Heiner Steinacker, Matthias Stickel
|contact_email=info@siz-energieplus.de
|website=http://www.quasi-software.org/
|source_download=https://github.com/QuaSi-Software
|logo=230505 Logo Resie.jpg
|text_description=ReSiE is a software tool that simulates energy supply concepts for buildings, focusing on renewable energy, sector coupling and individual operating strategies. It is part of the QuaSi project that includes additional tools and can be used for individual buildings up to district-level or cities. Unlike many other tools based on systems of equations, ReSiE uses rule-based algorithms, system dynamics and an agent-based approach. This approach enables detailed simulations without linearization, capturing energy flow and system state in each time step. The central mathematical model is based on energy balances and the order of the energy calculations that is determined during preprocessing. In addition, ReSiE is suitable to perform black-box optimizations for optimal component sizing. The model can be easily extended by any energy carriers and additional components or storages of variable complexity. More information is available in the documentation: https://quasi-software.readthedocs.io/en/latest/

Note: ReSiE is currently under development!

|Primary purpose=modellig of multi energy systems
|Primary outputs=sizing, LCC, LCA, Energy flows
|Framework=QuaSi
|User documentation=https://quasi-software.readthedocs.io/en/latest/
|Code documentation=https://quasi-software.readthedocs.io/en/latest/
|Source of funding=German Federal Ministry for Economic Affairs and Climate Action, BMWK
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/QuaSi-Software/resie
|data_availability=all
|open_future=No
|modelling_software=Julia
|processing_software=Julia
|Primary purpose=modellig of multi energy systems
|GUI=No
|model_class=multi energy systems in urban scale
|sectors=all sectors incl. heat, cold, hydrogen, electricity
|technologies=Renewables, Conventional Generation, CHP
|Demand sectors=Households, Industry, Transport, Commercial sector
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carriers (Solid)=Biomass, Coal, Lignite
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Transfer (Electricity)=Distribution, Transmission
|Transfer (Gas)=Distribution, Transmission
|Transfer (Heat)=Distribution, Transmission
|Storage (Electricity)=Battery
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=energy demands are input for ReSiE
|decisions=dispatch, investment
|Changes in efficiency=part-load depended efficiencies are included
|georegions=depends on user
|georesolution=depends on user
|timeresolution=15 Minute
|network_coverage=transmission, distribution
|Observation period=More than one year
|Additional dimensions (Ecological)=greenhouse gas emissions
|Additional dimensions (Economical)=LCC
|math_modeltype=Simulation, Other
|math_modeltype_shortdesc=rule-based algorithms, system dynamics
|math_objective=energy balances
|deterministic=sensitivity analysis
|is_suited_for_many_scenarios=Yes
|montecarlo=No
|computation_time_comments=several minutes on business laptop, depending on model complexity and time-step
|citation_references=tba
|citation_doi=tba
|Model validation=extended test framwork included, validation against other tools and measurement data is in planning
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

File:230505 Logo Resie.jpg

2023-09-05T08:27:46Z

Heiner Steinacker: Logo of ReSiE

Logo of ReSiE