QuaSi - ReSiE

Latest revision as of 14:15, 8 May 2024

computational core for the simulation of energy systems

Authors:
Etienne Ott, Heiner Steinacker, Matthias Stickel

Contact:
Etienne Ott, Heiner Steinacker, Matthias Stickel

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!

Based on Julia. Using Julia for data processing.

Website / Documentation
Download

Open Source
MIT license (MIT)

Directly downloadable

Input data shipped

Model Scope

Model type and solution approach

Model class	multi energy systems in urban scale
Sectors	all sectors incl. heat, cold, hydrogen, electricity
Technologies	Renewables, Conventional Generation, CHP
Decisions	dispatch, investment
Regions	depends on user
Geographic Resolution	depends on user
Time resolution	15 Minute
Network coverage	transmission, distribution

Model type	Simulation, Other
	rule-based algorithms, system dynamics
Variables
Computation time	minutes (several minutes on business laptop, depending on model complexity and time-step)
Objective	energy balances
Uncertainty modeling	sensitivity analysis
Suited for many scenarios / monte-carlo	Yes

References

Scientific 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
https://dx.doi.org/10.1088/1742-6596/2600/2/022009

◀ back to model list

@@ Line 5: / Line 5: @@
 |authors=Etienne Ott, Heiner Steinacker, Matthias Stickel
 |contact_persons=Etienne Ott, Heiner Steinacker, Matthias Stickel
-|contact_email=info@siz-energieplus.de
+|contact_email=info@quasi-software.org
 |website=http://www.quasi-software.org/
 |source_download=https://github.com/QuaSi-Software
@@ Line 12: / Line 12: @@
 Note: ReSiE is currently under development!
-|Primary purpose=modellig of multi energy systems
 |Primary outputs=sizing, LCC, LCA, Energy flows
 |Framework=QuaSi
@@ Line 27: / Line 25: @@
 |modelling_software=Julia
 |processing_software=Julia
-|Primary purpose=modellig of multi energy systems
 |GUI=No
 |model_class=multi energy systems in urban scale
@@ Line 59: / Line 56: @@
 |montecarlo=No
 |computation_time_comments=several minutes on business laptop, depending on model complexity and time-step
-|citation_references=tba
+|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=tba
+|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

Author institution	Siz energieplus +
Authors	Etienne Ott, Heiner Steinacker, Matthias Stickel +
Citation doi	10.1088/1742-6596/2600/2/022009 +
Citation references	Ott, E.; Steinacker, H.; Stickel, M.; Kley … 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 022009of Physics: Conference Series, 2600 022009
Computation time comments	several minutes on business laptop, depending on model complexity and time-step
Contact email	info@quasi-software.org +
Contact persons	Etienne Ott, Heiner Steinacker, Matthias Stickel +
Data availability	all +
Decisions	dispatch + and investment +
Deterministic	sensitivity analysis +
Full Model Name	computational core for the simulation of energy systems +
Georegions	Depends on user +
Georesolution	depends on user +
Is suited for many scenarios	true +
License	MIT license (MIT) +
Math modeltype	Simulation + and Other +
Math modeltype shortdesc	rule-based algorithms, system dynamics +
Math objective	energy balances +
Model class	multi energy systems in urban scale +
Model source public	true +
Modelling software	Julia +
Network coverage	transmission + and distribution +
Open future	false +
Open source licensed	true +
Processing software	Julia +
Sectors	all sectors incl. heat +, cold +, hydrogen + and electricity +
Source download	https://github.com/QuaSi-Software +
Technologies	Renewables +, Conventional Generation + and CHP +
Text description	ReSiE is a software tool that simulates en … 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!ote: ReSiE is currently under development!
Timeresolution	15 Minute +
Website	http://www.quasi-software.org/ +

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QuaSi - ReSiE

Latest revision as of 14:15, 8 May 2024

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QuaSi - ReSiE

Latest revision as of 14:15, 8 May 2024

References

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