blog section, code

pyViewFactor

Dans la continuité des stages de Marc ALECIAN (2021), puis Mina CHAPON (2021), un outil Python a été développé pour calculer les facteurs de formes de rayonnement entre « facettes » planes.

Incontournables dans la détermination de la température moyenne radiante, les facteurs de formes sont un paramètre de première importance dans la détermination du confort thermique, notamment pour le rayonnement CLO & GLO (plus d’explications sur la page dédiée : Calcul de la MRT).

Après avoir été présenté à la conférence IBPSA France 2022, le code est désormais disponible sur Gitlab : https://gitlab.com/arep-dev/pyViewFactor et sur PyPi avec un simple pip install pyviewfactor !

blog section, Publication

IBPSA France 2022

AREP L'hypercube attended the IBPSA France 2022 conference (at Châlons-en-Champagne, may 19th-20th), to present a paper entitled " Computation of View Factors between polygons - Application to urban thermal and comfort studies« .

Work is underway to make these codes open-source, as a Python library - Stay tuned! Stay tuned!

Abacus of VF between a wall and an individual (cylinder)

Comparison of surface temperatures with and without taking into account the exact view factors

MRT computation with view factors

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 !

blog section, Projects

National Grand Prize for Engineering - Syntec

L'hypercube is proud to have contributed to the Grand Prix National de l'Ingénierie 2021, won by AREP teams, for the transformation project of the Saint-Michel Notre-Dame station (RER C).

For the hypercube, it is the recognition of the Air Quality expertise, born during this project in 2017.
After preliminary study phases that were marked by the development of predictive models of air quality in train stations and a fruitful collaboration with the CSTB allowed us to develop a simulation framework to estimate the ventilation induced by train passages ("piston" effect),the main driving force of the air quality improvement on this project.

Subsequently, we had to deal with other site constraints, such as acoustics and flood control. It is precisely this collective and iterative work of the different engineering departments that was rewarded by the GPNI!

Below is a video presentation of the main challenges of the project:

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: