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domestic energy demand model
by EPFL
Authors:
Matteo Barsanti, Lionel Constantin
Contact:
Matteo Barsanti, Lionel Constantin
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demod is an open-source python library for socio-technical simulation of domestic energy demand (e.g., electrical and thermal). It allows to generate household occupancy, activity, thermal and electrical demand profiles with high temporal resolution
Based on Python. Using Python 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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Simulation
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| Sectors
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end-use demand
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| Technologies
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| Decisions
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| Regions
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Germany, UK
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| Geographic Resolution
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depending on input data
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| Time resolution
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Minute
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| Network coverage
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| Model type
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Simulation
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First order and semi- Markov-chain Monte Carlo simulation.
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| Variables
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tens/hundreds"tens/hundreds" is not a number.
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| Computation time
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10 minutes (32 households simulated for 1 year with 1 min time resolution)
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| Objective
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Assess domestic energy demand evolution and demand-side-management scenarios
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| Uncertainty modeling
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Not yet implemented
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| Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
Barsanti, M., Schwarz, J.S., Gérard Constantin, L.G. et al. Socio-technical modeling of smart energy systems: a co-simulation design for domestic energy demand. Energy Inform 4, 12 (2021).
https://dx.doi.org/https://doi.org/10.1186/s42162-021-00180-6
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