Cet article présente un modèle de simulation multi-agent multi-niveau d’autoconsommation collective de l’énergie. Le premier niveau de ce modèle est une simulation multi-agent de l’activité humaine couplée à une simulation thermique du bâtiment qui permet d’obtenir la consommation électrique d’un foyer. Le second niveau est une modélisation d’un groupement de foyers pratiquant l’autoconsommation collective d’énergie. Nous présentons une formalisation de cette notion de groupement ainsi que différentes organisations pour échanger de l’énergie. Nous étudions ensuite ces différentes organisations et nous montrons leur fort impact sur la répartition de l’énergie lorsque la production d’énergie est faible face à la consommation.
We present a multi-level multi-agent simulation of collective energy self-consumption. The first level of this model is a multi-agent simulation of human activity coupled with an energy simulation of the building, calculating the household’s energy consumption. The second level is a model of a group of households practising collective self-consumption of energy. We present a formalisation of this notion of grouping as well as different organizations to exchange energy. Last, we study these different organisations and show their strong impact on the distribution of energy when production is low compared to consumption.
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Keywords: Multi-agent simulation, Building, Energetic consumption, Collective self-consumption.
CC-BY 4.0
@article{ROIA_2022__3_5-6_477_0,
author = {J\'er\'emy Albouys-Perrois and Nicolas Sabouret and Yvon Haradji and Mathieu Schumann and Benoit Charrier and Christian Inard},
title = {\'Etude de diff\'erentes configurations d{\textquoteright}autoconsommation collective de l{\textquoteright}\'energie \`a l{\textquoteright}\'echelle du quartier et \`a l{\textquoteright}aide de la simulation multi-agent},
journal = {Revue Ouverte d'Intelligence Artificielle},
pages = {477--499},
publisher = {Association pour la diffusion de la recherche francophone en intelligence artificielle},
volume = {3},
number = {5-6},
year = {2022},
doi = {10.5802/roia.40},
language = {fr},
url = {https://roia.centre-mersenne.org/articles/10.5802/roia.40/}
}
TY - JOUR AU - Jérémy Albouys-Perrois AU - Nicolas Sabouret AU - Yvon Haradji AU - Mathieu Schumann AU - Benoit Charrier AU - Christian Inard TI - Étude de différentes configurations d’autoconsommation collective de l’énergie à l’échelle du quartier et à l’aide de la simulation multi-agent JO - Revue Ouverte d'Intelligence Artificielle PY - 2022 SP - 477 EP - 499 VL - 3 IS - 5-6 PB - Association pour la diffusion de la recherche francophone en intelligence artificielle UR - https://roia.centre-mersenne.org/articles/10.5802/roia.40/ DO - 10.5802/roia.40 LA - fr ID - ROIA_2022__3_5-6_477_0 ER -
%0 Journal Article %A Jérémy Albouys-Perrois %A Nicolas Sabouret %A Yvon Haradji %A Mathieu Schumann %A Benoit Charrier %A Christian Inard %T Étude de différentes configurations d’autoconsommation collective de l’énergie à l’échelle du quartier et à l’aide de la simulation multi-agent %J Revue Ouverte d'Intelligence Artificielle %D 2022 %P 477-499 %V 3 %N 5-6 %I Association pour la diffusion de la recherche francophone en intelligence artificielle %U https://roia.centre-mersenne.org/articles/10.5802/roia.40/ %R 10.5802/roia.40 %G fr %F ROIA_2022__3_5-6_477_0
Jérémy Albouys-Perrois; Nicolas Sabouret; Yvon Haradji; Mathieu Schumann; Benoit Charrier; Christian Inard. Étude de différentes configurations d’autoconsommation collective de l’énergie à l’échelle du quartier et à l’aide de la simulation multi-agent. Revue Ouverte d'Intelligence Artificielle, Volume 3 (2022) no. 5-6, pp. 477-499. doi : 10.5802/roia.40. https://roia.centre-mersenne.org/articles/10.5802/roia.40/
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