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OpenTUMFlex
by Technical University of Munich
Authors:
Michel Zade, Babu Kumaran Nalini, Zhengjie You, Peter Tzscheuschler
Contact:
Michel Zade, Babu Kumaran Nalini, Zhengjie You, Peter Tzscheuschler
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An open-source flexibility estimation model that quantifies all possible flexibilities from the available prosumer devices and prices them.
Based on Python (Pyomo). Using for data processing.
Website / Documentation
Download
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 Open Source
GNU General Public License version 3.0 (GPL-3.0)
Directly downloadable
Some input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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Energy System Model, urban energy systems, load shifting optimisation, Local energy systems
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| Sectors
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Energy, Electricity Market, Households, electricity plus sector coupling (EVs
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| Technologies
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Renewables, CHP
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| Decisions
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| Regions
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User dependent
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| Geographic Resolution
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User dependent
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| Time resolution
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15 Minute
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| Network coverage
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distribution
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| Model type
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Optimization, Simulation
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| Variables
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| Computation time
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minutes
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| Objective
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Cost optimal optimization and flexibility calculation
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| Uncertainty modeling
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| Suited for many scenarios / monte-carlo
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No
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References
Scientific references
Zade, M.; You, Z.; Kumaran Nalini, B.; Tzscheutschler, P.; Wagner, U. Quantifying the Flexibility of Electric Vehicles in Germany and California—A Case Study. Energies 2020, 13, 5617.
https://dx.doi.org/doi:10.3390/en13215617
Example research questions
How can prosumer offer flexibility to the grid?
Can prosumer flexibility be quantified?
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