Interdisciplinary Symposium | 5-6-7 July 2017
Tracks  |
Track "RES Smart grids and buildings"

RES Smart grids and buildings



C. Cristofari (SPE, UCPP UMR CNRS 6134, France)

M. Muselli (SPE, UCPP UMR CNRS 6134, France)


Objectives: European energy dependence costs 350 billion Euros annually. For that Europe built an European strategy for energy with three objectives that fall under the security of supply, competitiveness and sustainability. This aims is to ensure citizens and EU companies a safe and environmentally friendly energy at an affordable price. For this, the share of RES in Europe will rise from 14.1 % up to 27%  by 2030 .

In this context, scientific research is directed towards an intelligent energy management at various levels from housing to city or regional scale.

At each level, you must have access to energy-efficient items, including intelligent management of stationary or mobile equipment, whether consumers, producers or storage of electricity included in renewable energy smart grids.

An example of the concept of intelligent building is the integration of energy management solutions in housing and business buildings, especially to achieve positive energy and consequently optimally manage this energy on a larger scale.

In this approach, the need to observe, analyze and control physical phenomena at these different levels requires environmental and urban metrology applications. This new way of looking metrology, by detecting a phenomenon at various points scattered on a site, inevitably leads to new technological issues (type and number of sensors, energy independence, need communications), new scientific issues (smart initiatives, sensor cooperation, humans interaction, connected objects).

Providing answers to these concepts opens up many opportunities for innovative applications to make smart building or smart cities. Not only the concept of smart building is a major concern for environmental issues (optimization of energy consumption) but the smart building must also meet the needs of user comfort by providing a set of individual services. Finally, the definition of uses, the design of an adequate network of sensors, data collection and fusion of sensor data, the implementation of a human interaction network interface are among the key parameters to be addressed to meet socio- economic issues.

This multidisciplinary and interdisciplinary approach is positioning itself on the border of two complementary areas. The innovation is the coupling between the BCIM (Building Information Modeling) and sensor networks for the development of business intelligence processes in Smart Building. This approach is part of a commitment in order to upgrading the technology platform “Paglia-Orba” implemented at Ajaccio (University of Corsica/CNRS).


Key-words: Energy, buildings, cities, sensor networks


Scientific Responsibles :

C. Cristofari/M.Muselli

Scientific Committee:

D. Ginhac, LE2I UMR 6306 , CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, France

C.Nicolle, IUT de Dijon- UMR CNRS 5158, France

P Poggi, UCPP, UMR CNRS 6134, France

JL Canaletti, UCPP, UMR CNRS6134, France

E. Innocenti, UCPP, UMR CNRS 6134, France

J.B. Filippi, UCPP UMR CNRS 6134, France

X Silvani,UCPP UMR CNRS 6134, France



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