blog section, Publication

The PET comfort index included to the pyThermalComfort Python library

Our version of the Physiological Equivalent Temperature (PET) comfort index, published in 2018 in Building&Environment has made it to pythermalcomforta project from the Center for the Built Environment (CBE) at UC Berkeley (amongst others S. Tartarini & S. Schiavon)

pyThermalComfort includes many other comfort metrics (PMV/PPD, SET, DR... a bit lost? A recap here) and the steady state PET is naturally added for a wider diffusion of this reference model.

More information in the documentation !

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Creation of local meteorological data

En se basant sur les données mesurées historiques, ce début d’année 2022 voit le développement d’une nouvelle offre pour la création de fichiers météorologiques locaux.

La méthode est basée sur les points suivants :

  • Récupération & traitement de données météorologiques historiques
  • Interpolation spatiale par un processus gaussien afin de déterminer les valeurs à une granularité plus fine
  • Validation sur des jeux de et versus les cartographies de températures moyennes de Meteofrance
  • Reproduction de séries temporelles de température, humidités…

Ce pas en avant ouvre la voie à la création de fichiers météorologiques adaptés au « climat urbain » spécifique de chaque ville à l’aide de l’Urban Weather Generator (UWG).

Intéressé.e. ? Pour plus d’information, c’est ici :

blog section, Publication

IBPSA 2021 Conference

We will be participating to theInternational Building Performance Simulation Association conference in Bruges in September this year.

Three paper will be presented, exposing part of the research done last year:

  • Urban Heat Island modeling with: Simulation of outdoor thermal comfort: A tweak with EnergyPlus
  • Spatialised computation of indoor comfort levels in semi-open spaces: Spatial distribution of thermal comfort: A case study in Paris’ station
  • Infrared radiation and polymer materials such as ETFE: A Spectral Model for Longwave Radiant Heat Transfer: Influence of New generation Polymers in BES

blog section, Publication

"Building Physics" publication

This post promotes a non-commercial announcement!

The result of a year's work is an open-source book published by a member of the team, dealing with problems in building physics and soberly entitled:

« Building Physics – Applications in Python »

The main features of the book are the following:

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Non-isothermal air flow in the urban environment

Amongst the team's current development themes: the calculation of air temperatures in urban environments.

In order to improve the prediction of the consumption calculations of buildings or the exterior thermal comfort, a thermal/aerodynamic coupling is necessary.It is all about taking into account the influence of building surface temperatures on the temperature of the outside air.

The complete anisothermal CFD calculation being prohibitive in computation time, a "weak coupling" approach is adopted, based on energy balances and valorizing the isothermal air velocity field systematically conducted in our studies.

The validation on an experimental dataset is underway (thanks again to our partners from the LaSIE in La Rochelle!).

Mailles de calculs aéraulique urbaine anisotherme
Diagram of the heat balance on a mesh cell for the calculation of the air temperature.
Températures d'air
Example of results: 3D air isotherms in a built environment.
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Urban scale infra-red radiation

Among the current development undertaken by the team: computing longwave radiation in the urban environment.

In order to improve the prediction of surface temperature levels for the calculation of building consumption or the evaluation of outdoor comfort, it is necessary to know the radiation view factors between surfaces of an urban scene.

View factor computation being time consuming, we will try to answer following question:

        How can we speed-up the process with a minimum trade-off on precision?

The possibilities yet considered are parallelism and k-means clustering.

Illustration du k-means clustering (source Wikipedia)
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Genetic optimization & natural ventilation

Amongst the team's ongoing research topics: optimizing the modeling of natural ventilation in dynamic thermal simulation.

In order to reduce the computational effort for the pressure coefficient computations by means of CFD simulations, we have to answer the following questions:

"Can we choose the wind directions a priori to limit the number of CFD calculations?"
"With a fixed number of CFD calculations, can we minimize the modeling error compared to a reference case?"

On the agenda : thegenetic optimization coupled to EnergyPlus.

Difference of pressure coefficients on a façade element between the classical approach and the coupled CFD+BES approach.