Project

Smart cities and smart Island simulation

Goal: Simulation models can be used as decision support tools for smart city design and planning. They allow to evaluate the possible consequences of projects, before their implementation in the real world. Decision makers could benefit from replicable ones that can be relevant and easily transferable from one territory to another so solutions can be compared and re-use of model components can save time. In this paper we consider the case of citizen’s mobility flow simulation. However, most of such simulation models are designed to be suitable for a specific kind of territory. Some of them are reusable, but in a context that does not differ much from the original one for which they were designed, or require lots of changes to be relevant in another context.
We classify those contexts into urban and insular and we show that despite their difference, they could be complementary. We demonstrate that testing a simulation model designed for an urban context, in a context with strong constraints can help in its consolidation. Thereby, after testing an Agent Based Simulation Model originally applied to a case study in London, in Reunion Island, we present a more generic simulation model that works for both systems.
---Collaboration with Imperial College London

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Project log

Yassine Gangat
added 2 research items
Energy management has become a very popular topic in the past few years, especially with the protection of the environment. The use and management of renewable energy sources (RES) has therefore become a necessity. In this context, innovative EMSs (Energy Management Systems) are required to bring a new way to monitor energy flows in micro grids. The interaction between physical and digital elements is relying on the use of Information and Communication Technologies (ICTs). A side effect is the appearance of Multi-Agent System (MAS) whose aim is to manage efficiently energy flows to reduce consumer bills, to minimize the use of fossil fuel in favor of RES. In this paper, we introduce "GYSOMATE", a simulation platform to test different management strategies, with the implementation of predictive tools and MAS to improve the EMS.
Le concept de système de gestion de l'énergie (SGE) répond aux défis énergétiques relatifs aux sources d'énergie renouvelables (ENR) et à la protection de l'environnement. L'expansion des ressources énergétiques distribuées représente un changement de paradigme dans les réseaux électriques, rendant les micro-unités de production et de stockage pertinentes, à la fois en termes de développement durable et d'énergie à la demande. La fiabilité des réseaux interconnectés de petite taille et isolés à grande échelle dépend d'un SGE efficace. [1] La Réunion, située dans une zone tropicale, constitue un terrain fertile pour la recherche dans ce domaine, notamment avec l'objectif 2030 d'atteindre 100 % d'ENR. Cependant, le développement des réseaux intelligents à la Réunion nécessitera des travaux de R&D adaptés aux caractéristiques de l'ile. Cela ne peut pas être réalisé uniquement avec des théories et des pratiques de simulation, excluant ainsi certaines situations dépendant de la réalité. Nous proposons une plateforme de test pour simuler et émuler un réseau intelligent entièrement personnalisable.
Yassine Gangat
added 3 research items
Le projet GERRI donne corps pour l'île de la Réunion aux orientations du Grenelle Envi- ronnement, dont l'aménagement énergétique d’un territoire est l’une des facettes. Il s'agit de prévoir la consommation et la production d'énergie future, tout en respectant un ensemble d'indicateurs économiques et écolo- giques, à l’aide de nombreux schémas d'inte- ractions entre les acteurs. L'originalité du présent article est d’organiser une nouvelle approche via les multi-agents, qui offre une alternative pertinente aux autres modèles. Ce travail, développé sur Gea- mas-NG et basé sur un outil (Domino-SMAT) déjà implanté dans le cadre d'un autre projet, permet la simulation et la géo-localisation des flux d'énergie tout en tenant compte des inte- ractions modélisables. A terme, l’objectif est de réaliser un outil d’aide à la décision dans l’aménagement énergétique d'un territoire grâce aux différents scénarios possibles, notamment en prévision de nouvelles installations et de leur dimen- sionnement, ou encore en cas de dysfonction- nement ou de maintenance d'une infrastructure. The GERRI project materializes the Grenelle Environnement’s goals, of which the energy management of a territory is a facet. The aim is to forecast future energy production and consumption, bearing in mind economic and ecological indicators, and using a large num- ber of interactions schemes between the involved parties. The originality of this paper is to present a new approach using the multi-agents systems, which could offer an appropriate alternative to other models. This work is based on one of the tools (Domino-SMAT) developed on the Gea- mas-NG platform. It allows the simulation and geo-localization of energy flow while reckoning with modeled interactions. Eventually, the aim is to provide a decision-support tool for the energy planning within a territory, thanks to the different possible scenarios, e.g. in anticipation of new power plant and its sizing, or in case of a malfunction or maintenance work.
Un projet nommé GERRI a été lancé à la Réunion dans le but de favoriser le développement de nouvelles technologies écologiques. Une des pierres fondamentales de ce projet est la maitrise de l’énergie, dont l’aménagement énergétique d’un territoire fait partie. Les recherches dans ce dernier domaine du projet sont peu foisonnantes. Nous proposons dans cet article une nouvelle approche qui passera par la modélisation de l’aménagement énergétique du territoire, grâce aux systèmes multi-agents. Nous exploiterons plus particulièrement la possibilité de géo-localiser les agents, afin d’obtenir des avantages non accessible dans les autres approches qui, pour la plupart, ne prennent pas la localisation en considération. La localisation géographique apporte une nouvelle dimension, car il est possible de visualiser les flux d’énergies et donc d’optimiser les pertes dues aux transports. Il est aussi possible grâce à cet outil de simulation d’argumenter certains choix au niveau production d’énergie, ou encore de discuter de certaines politiques de consommation.
Rémy Courdier
added 4 research items
Un projet nommé GERRI a été lancé à la Réunion dans le but de favoriser le développement de nouvelles technologies écologiques. Une des pierres fondamentales de ce projet est la maitrise de l’énergie, dont l’aménagement énergétique d’un territoire fait partie. Les recherches dans ce dernier domaine du projet sont peu foisonnantes. Nous proposons dans cet article une nouvelle approche qui passera par la modélisation de l’aménagement énergétique du territoire, grâce aux systèmes multi-agents. Nous exploiterons plus particulièrement la possibilité de géo-localiser les agents, afin d’obtenir des avantages non accessible dans les autres approches qui, pour la plupart, ne prennent pas la localisation en considération. La localisation géographique apporte une nouvelle dimension, car il est possible de visualiser les flux d’énergies et donc d’optimiser les pertes dues aux transports. Il est aussi possible grâce à cet outil de simulation d’argumenter certains choix au niveau production d’énergie, ou encore de discuter de certaines politiques de consommation.
Résumé La prise en compte des phénomènes émergents présente un intérêt manifeste pour les utilisa-teurs et les concepteurs de Simulations Orien-tées Agent. Mais la réification éventuelle de ces phénomènes soulève de nombreuses questions, que ce soit sur le plan conceptuel (doit-elle se faire ?) ou sur le plan technique (comment la faire ?). Dans cet article, nous montrons qu'une telle réi-fication peut être considérée comme étant un moyen efficace pour affiner ponctuellement des modèles de simulation existants dans lesquels des modifications directes, rendues laborieuses de par la multiplicité des entités et des com-portements, se font souvent habituellement au risque de déstabiliser le système. Nous proposons donc une technique de réifi-cation des phénomènes qui émergent dans une Simulation Orientée Agent et nous illustrons cette proposition à travers la réification de nou-velles zones urbaines, un phénomène émergent observé dans un modèle permettant de simuler l'évolution de la population à La Réunion. Mots-clés : Simulation Orientée Agent, Emer-gence, Urbanisation, Aménagement du terri-toire Abstract Emergence is a fascinating concept for most scientists. It has always been known as one of the best advantages of MultiAgent Systems. Al-though, researches in this area yield to several definitions and classifications of emergent phe-nomenons. But only a few of them offers a solu-tion for a concrete reification of emergence. In this paper, we show that such reification can be considered as an effective way to refine simu-lation models in which direct modifications, that are made laborious by the multiplicity of the en-tities and behaviors, often leads to the destabi-lization of the entire system. We propose a reification technique of the emergent phenomena that do emerge in an agent-based simulation. We illustrate this pro-position through the reification of new urban areas, an emergent phenomena observed in a model that we use to simulate the evolution of the population in Reunion Island.
Emergent phenomena are often relevant for users and developers of simulation models. But the potential reification of these phenomena raises many questions, conceptually (should they be reified?) and technically (how to do it?). In this paper, we show that such a reification can be considered as an effective way to refine simulation models in which direct modifications, that are made laborious by the multiplicity of the entities and behaviors, often leads to the destabilization of the entire system. We propose a reification technique of the emergent phenomena that do emerge in an agent-based simulation. We illustrate this proposition through the reification of new urban areas, an emergent phenomenon observed in a model that we created to simulate land-use evolutions in Reunion Island.
Rémy Courdier
added 2 research items
Simulation models can be used as decision support tools for smart city design and planning. They allow to evaluate the possible consequences of projects, before their implementation in the real world. Decision makers could benefit from replicable ones that can be relevant and easily transferable from one territory to another so solutions can be compared and re-use of model components can save time. In this paper we consider the case of citizen’s mobility flow simulation. However, most of such simulation models are designed to be suitable for a specific kind of territory. Some of them are reusable, but in a context that does not differ much from the original one for which they were designed, or require lots of changes to be relevant in another context. We classify those contexts into urban and insular and we show that despite their difference, they could be complementary. We demonstrate that testing a simulation model designed for an urban context, in a context with strong constraints can help in its consolidation. Thereby, after testing an Agent Based Simulation Model originally applied to a case study in London, in Reunion Island, we present a more generic simulation model that works for both systems.
Simulation models are often used by policy makers as decision support tools for smart city design and planning. However, many of them are designed to be suitable for a particular kind of territory with the corresponding characteristics; especially for city contexts. Therefore, limitations could appear when transferring such simulation models to island contexts. Indeed, because of their relative geographical and socio-cultural differences, cities and islands could react differently to the same changes. That could generate useful insights for the discussion of transferability of smart city solutions from cities to islands. In this paper, we demonstrate how an agent based simulation model for island context related projects can be designed from enrichment of an existing simulation model that was previously applied to cities only. Experiments are made based on the Repast Simphony simulation platform. Thereby, after application to the particular case of Reunion Island, we present a more generic simulation model that could be easily applied to both cities and islands.
Rémy Courdier
added a project goal
Simulation models can be used as decision support tools for smart city design and planning. They allow to evaluate the possible consequences of projects, before their implementation in the real world. Decision makers could benefit from replicable ones that can be relevant and easily transferable from one territory to another so solutions can be compared and re-use of model components can save time. In this paper we consider the case of citizen’s mobility flow simulation. However, most of such simulation models are designed to be suitable for a specific kind of territory. Some of them are reusable, but in a context that does not differ much from the original one for which they were designed, or require lots of changes to be relevant in another context.
We classify those contexts into urban and insular and we show that despite their difference, they could be complementary. We demonstrate that testing a simulation model designed for an urban context, in a context with strong constraints can help in its consolidation. Thereby, after testing an Agent Based Simulation Model originally applied to a case study in London, in Reunion Island, we present a more generic simulation model that works for both systems.
---Collaboration with Imperial College London