Enrichment of the energy simulation of buildings thanks to smart sensors

Data from smart sensors makes it possible to better understand the behaviours of building occupants and improve the reliability of energy simulation.

Context and challenges

The energy simulation of buildings makes it possible to evluate their forecast energy consumption and level of thermal comfort, on the basis of assumptions made on uses and the climate. But the real results will depend on the actual behaviour of the occupants and actual climatic variations. So that eco-design is not limited to offering a product, but helps to ensure a genuine level of service, possibly with a notion of energy efficiency guarantee, smart sensors can enhance the simulation by providing data on these aspects of behaviour and of climate.


The aim of the PhD thesis is to take advantage of smart sensors to better anticipate occupant behaviour and improve the reliability of energy simulation.
A first part of the thesis aims to improve, thanks to the collection of information from smart sensors (temperature, humidity, noise, energy consumption, CO2concentration), statistical models relating to the use of premises and the behaviour of occupants.
A second part concerns improving the reliability of the energy simulation of buildings. The aim is to develop new model calibration methods taking advantage of sensors.
The enhanced simulation will be tested on a case study, in particular, to find out which procedures are the most relevant in an energy efficiency guarantee process. The calculation modules developed as part of the thesis will be sent to a software publisher in order to study their distribution.


Samih Akkari
PhD Student
MINES MarisTech
Bruno Peuportier
Research Director
MINES ParisTech
Patrick Schalbart
Research Associate
MINES ParisTech
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