Research Interests

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A short brief on the most active and current research topics.

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Urban scale climatic studies

Urban CFD

• CFD / BES Couplings:
  • Pressure coefficients estimation on building envelopes, Cp,
  • Natural ventilation assesments,
  • Weak coupling between surface temperatures (from outdoor EnergyPlus simulations) and CFD results for every wind directions.

Urban scale UHI modelling

• Urban Geometries:
  • Extractions,
  • Pre-processing,
  • Model built-ups.
• View Factors:
  • Exact calculations of urban view factors,
  • Integration to comfort studies (EnergyPlus + inhouse AREP’s codes).
  • Maintaining the pyviewvfactor python library

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Air Quality in underground train stations

Equational modeling of air quality

• Physical based modelling of PM concetrations dynamics, with a set of differential equations

Experimentations to lower PM levels in active trains station

• Establishing experimentation and instrumentation protocols
• Ensure follow-up and analyze the collected data.

AI (NN) forecasting of PM concentrations

• Time series forecasting applied to air quality in underground train stations

CFD simulations

• Ventilation, forced ventilation,
• Dynamic simulations of the “piston” effect produced by a train,
• Dispersion of PM pollutants.

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Datavisualisation and post-processing

Last but not least, the most difficult part is often to be able to show / display / represent / share results, as sometimes a proper representation is worth a thousand words…

I work a lot with Paraview and Pyvista for simulation results, but also with some more “classical” Python libraries (Matplotlib / Seaborn / Plotly) for data analysis.

• 2D / 3D renderings,
• Statistical information displays and summaries,

• …

  Web developments

• Development and maintenance of my teams blog : L’hypercube , both for front end and back end, built with Hugo, deployed on an cloud Ubuntu VM,
• Develoment of several dashboards with Dash, mainly internal to the company, some available to the public on our website.