BATIMETRE

Development of a methodology for continuous measurement of the energy performance of low-energy buildings

Partnership

This project is supported and financed by the ANR within the framework of the HABISOL call for projects: HABitat Intelligent and Solar Photovoltaic

Coordinator: Olivier Flechon, CEA-INES

Azimut Monitoring, now part of the Hager Group

INES - National Institute for Solar Energy

LIST - Systems and Technology Integration Laboratory

LISTIC - Computer Science, Systems, Information and Knowledge Processing Laboratory

LOCIE - Design Optimisation and Environmental Engineering Laboratory

Context: the environmental issue

The main energy-consuming sector in France is the residential and tertiary sectors (46.5% of total national consumption), ahead of transport and industry. It also accounts for 25% of national carbon dioxide emissions and therefore contributes significantly to the greenhouse effect.

In the framework of the Kyoto agreements, France is committed to reducing its greenhouse gases by 4 by 2050. In order to achieve part of this objective, France wishes to accelerate the development of highly energy-efficient buildings, with buildings with the BBC (Bâtiment Basse Consommation) label as of 2012 and globally positive buildings integrating energy production by ENR by 2020.

Thus, the building is the object of particular attention at a time when the safeguarding of our environment is a universal issue. This sector can be seen as the main and most accessible source of energy efficiency. This is why many hopes are pinned on the rapid and effective implementation of solutions to improve the energy performance of buildings.

The French and international research , aware of the stakes involved, has been making a major effort for several years to develop projects, both in the field of technology development and in that of evaluation and simulation tools, aimed at innovation in the field of energy efficiency and the integration of renewable energies. In the context of the construction of new buildings with very low or even autonomous energy consumption, it becomes imperative to set up a systematic practice of monitoring the newly constructed building in order to verify that its actual performance is in line with the objectives set in the project and with the prescriptions made at the design stage. Indeed, the client will want to know why he paid more for the construction and to verify that what he was predicted corresponds to reality.

In the event that the observed performance is not in line with the objectives, it is necessary to be able to carry out a diagnosis of the building in order to identify and prioritise the causes of the malfunction. Finally, monitoring of the building throughout its life would make it possible to detect any drift in operation and to ensure more efficient management of its energy behaviour. It is even possible to envisage the building's own autonomy by giving it a form of intelligence through observation and a formalism of description (self-diagnosis).

Objectives

The main objective of this project is to develop a methodology to continuously measure the performance of future BBC or BEPOS buildings. This methodology should eventually enable the development of an ambitious concept of "Energy Result Guarantee" on the same principle as the "Solar Result Guarantee" (GRS) developed for Individual Solar Hot Water Heating (CESI). This GRE will allow the project owner to know what he is committing to when designing the building. It will also enable corrections to be made during the life of the building and problems to be diagnosed.

The implementation of the means of measures is particularly important and ambitious as well. Indeed, each experimental building of the platform will be equipped with several hundreds of sensors whose metrology and results management will have to be ensured.

Thus, LISTIC will bring these skills in the development of data management and data fusion methods for the study and design of the software and hardware architecture that will support the operational levels. In particular, this architecture will offer the services to abstract the functions offered by the tools and sensors positioned in the buildings to perform the processing and presentation of information in near real time.

In the framework of the project, we will place particular emphasis on the capacity for infrastructure evolution and the agility of the systems put in place in relation to the changes required by energy consumption models and user practices, and on tools that promote technological evolution and interoperability using approaches developed within distributed information fusion systems.