Data driven building energy performance
I am an assistant professor at the Université Savoie Mont-Blanc (Chambéry, France).
My primary academic interest is to use fancy data analysis techniques to evaluate and improve the energy efficiency of buildings. Some applications are:
- Evaluating the energy performance of buildings using in-situ measurements.
- Optimizing refurbishment solutions regarding cost, comfort and energy demand.
- Designing natural cooling strategies to make buildings and cities resilient to overheating.
I try to tackle some challenging inverse problems of building energy simulation by applying time series analysis techniques, state-space models and eventually Gaussian processes. My focus is on Bayesian inference methods for parameter estimation, and meta-heuristic methods for optimization. I mostly rely on the Python and Modelica languages, and the EnergyPlus software for building energy simulation. I also have a strong interest in GIS data analysis, although it is not yet apparent in any of my work.
What you may find on this page
I try to keep this page up to date with my most recent activity. It is mostly made to display my publications, current projects, teaching activities, and to share software.
You should contact me if
- I can help you with anything related to building energy data analysis
- you can help me with math (my background is mostly thermodynamics)
- you have some data I can play with
- you like cartography, trail running or sound synthesis
My CV in three steps
- Lecturer at USMB since 2013
- 2012: Ph.D. Thesis in the University of Lyon (France), CETHIL/MATEIS laboratories, Hygrothermal performance assessment of damaged building materials under the supervision of Jean-Jacques Roux, Geneviève Foray, Monika Woloszyn. Collaboration with DTU-BYG (Denmark).
- 2009: double engineering degree in thermodynamics and fluid mechanics. Technische Universität München (Germany), Ecole Centrale de Nantes (France).