Sustainable City

Resarche areas - Sustainabel city

The ambition of the I-Site FUTURE and the Gustave Eiffel University is to invent the cities of tomorrow. This city must guarantee a quality of life for its users, it must be able to understand and manage urban risk.

By relying on digital technologies, it must be able to offer services that improve its social, environmental and economic performance.

The synergies between digital technologies and the sustainable city give rise to an abundance of projects and new original research themes, in which ESIEE Paris brings its contributions in the field of sensors, data processing, flow management but also the optimization of buildings and structures for better energy management.


Examples of research projects

OASIS (FEDER-UIA Project): Openness, Adaptation, Awareness, Innovation and Social Link

The aim of this project is to transform school and college yards into "islands of freshness" in order to welcome residents in the event of a heat wave (during school holidays, for example). Our role is to process the microclimatic and thermal assessment part of the project, using measurements taken "in situ", before and after work. A specific methodology for evaluating the impact of the project has been developed, combining on-site measurements and an experimental device in the laboratory, before and after the implementation of the “Oasis” courses. This will make it possible to better analyse the behaviour of soils and strengthen scientific knowledge in this field.

Project leader: Martin HENDEL, Teacher-Researcher at ESIEE Paris - Department of Health, Energy and Environment, LIED laboratory.
Funding: this project is part of the resilience strategy of the City of Paris. It is funded by Europe with ERDF UIA funding.
Date: 2018 - 2021
Partners: the research laboratory LIED, Météo France, LIEPP (Science Po), CAUE75 and the League for teaching

ANDRE (ANR-Isite Project): models for the Analysis, Decomposition and Reconstruction of Energy consumption data

Objective: buildings, responsible for more than 40% of energy consumption in Europe, are a priority for energy policies. For example, energy efficiency goals involve the renovation of 500,000 homes per year in France. Renovation projects are often based on simulations and the results obtained often fall short of predictions. This is largely due to an underestimation of the role of occupants and their uses. We are addressing this problem in order to improve model predictions and the efficiency of renovation actions by developing "grey box" models combining deterministic physical description and statistical approach of occupants, uses and dynamic consumption data. Efficient processing of these in an upward direction (data generation) and downward (decomposition of aggregated curves) is critical to fully benefit from smart meters undergoing massive deployment.

Project leader: Elyes Nefzaoui, Teacher-Researcher at ESIEE Paris - Department of Health, Energy and Environment, ESYCOM laboratory
Funding: Funding supported by the I-Site FUTURE, ANR
Date: 2018 - 2022
Partners: Gustave Eiffel University, CAMEO Company, ENPC, MC Habitat ...

RAI: Intelligent Adaptive Networks

Objective: Today, communications take place over different types of networks and carry various real-time applications (audio, video, etc.) that require different levels of quality of service (QoS). Some of these applications require a certain minimum throughput to operate, while others require minimum latency. Various resource management mechanisms are developed for wired and wireless networks to improve and ensure end-to-end quality of service, including QoS-based routing, resource allocation and scheduling. However, most of these mechanisms are static and do not adapt dynamically to environments that change frequently (channel, traffic load, available resources, etc.). The main objective of the doctoral thesis is to propose new innovative algorithms and technologies for intelligent and dynamic communication networks. The results and conclusions of the research will help improve the performance and adaptability of Nexen, a network router offered by Thales Communication et Réseau.

Project leader: Jean François Bercher, Teacher-Researcher in the IT department, LIGM Laboratory.
Funding: ANRT - CIFRE contract
Date: 2020/2023
Partners: Thales France