https://wiki.openmod-initiative.org/api.php?action=feedcontributions&user=Lionel&feedformat=atom
wiki.openmod-initiative.org - User contributions [en]
2024-03-28T23:35:48Z
User contributions
MediaWiki 1.19.7
https://wiki.openmod-initiative.org/wiki/Demod
Demod
2021-10-25T14:30:06Z
<p>Lionel: </p>
<hr />
<div>{{Model<br />
|Full_Model_Name=domestic energy demand model<br />
|Acronym=demod<br />
|author_institution=EPFL<br />
|authors=Matteo Barsanti, Lionel Constantin<br />
|contact_persons=Matteo Barsanti, Lionel Constantin<br />
|contact_email=matteo.barsanti@epfl.ch, constantin.lionel@hotmail.com<br />
|website=https://demod.readthedocs.io/en/latest/#<br />
|source_download=https://github.com/epfl-herus/demod<br />
|text_description=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<br />
|Primary outputs=Household occupancy, activity, thermal and electrical demand profiles<br />
|User documentation=https://demod.readthedocs.io/en/latest/overview/index.html<br />
|Code documentation=https://demod.readthedocs.io/en/latest/overview/index.html<br />
|Source of funding=Swiss National Science Foundation (SNSF project number:182878)<br />
|Number of developers=2<br />
|Number of users=1<br />
|open_source_licensed=Yes<br />
|license=GNU General Public License version 3.0 (GPL-3.0)<br />
|model_source_public=Yes<br />
|Link to source=https://github.com/epfl-herus/demod<br />
|data_availability=some<br />
|open_future=No<br />
|modelling_software=Python<br />
|processing_software=Python<br />
|GUI=No<br />
|model_class=Simulation,<br />
|sectors=end-use demand<br />
|Demand sectors=Households<br />
|Storage (Gas)=No<br />
|Storage (Heat)=No<br />
|User behaviour=Activity-based ennergy demand modeling<br />
|georegions=Germany, UK<br />
|georesolution=depending on input data<br />
|timeresolution=Minute<br />
|math_modeltype=Simulation<br />
|math_modeltype_shortdesc=First order and semi- Markov-chain Monte Carlo simulation.<br />
|math_objective=Assess domestic energy demand evolution and demand-side-management scenarios<br />
|deterministic=Not yet implemented<br />
|is_suited_for_many_scenarios=Yes<br />
|number_of_variables=tens/hundreds<br />
|montecarlo=Yes<br />
|computation_time_minutes=10<br />
|computation_time_hardware=Intel(R) Core(TM) i7-8665U CPU @ 1.90GHz 2.11 GHz. RAM 16.0 GB<br />
|computation_time_comments=32 households simulated for 1 year with 1 min time resolution<br />
|citation_references=Barsanti, M., Schwarz, J.S., GĂ©rard 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).<br />
|citation_doi=https://doi.org/10.1186/s42162-021-00180-6<br />
|Model validation=Undergoing<br />
|Integrated models=co-simulation framework like mosaik<br />
|Model input file format=No<br />
|Model file format=No<br />
|Model output file format=No<br />
}}</div>
Lionel