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 !
Une étude couplée de comfort au vent et d’îlot de chaleur urbain dans le cadre du projet de site de Paris Austerlitz :
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 :
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 : lhypercube@arep.fr
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:
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:
Amongst the current developments of the team: creating a visualisation server for projects for our customers, designed for an interactive exploitation of results.
Based on Paraview Glance and the VTK file format, it will allow to access simulation results remotely and securely, as well as performing real-time statistical analyses.
Currently explored by the team: kriging, a method from the mining sector, used for field projection and interpolation.
In order to have an alternative at our disposal, different from the methods described "next door", an exploration of kriging was lead with the SMT lib. Definitely worth a try!
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!).
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.
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.
