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!
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:
Our coupling method between computational fluid mechanics and dynamic thermal simulation, used to calculate natural ventilation, was published this month in the Techniques de l’Ingénieur. The full article is available on their website. Alternatively you can contact us for more details!
Thermal comfort and the simulation of natural ventilation, for us that means a lot! Our researchers Edouard WALTHER and Antoine HUBERT presented their latest advances at the IBPSA World #bs2019 conference in partnership with École Normale Supérieure Paris-Saclay.
AREP and the CSTB were present at the 3rd edition of the Foam'U conference (French-speaking users of OpenFOAM) at the University of Valenciennes, on 23 & 24 May 2018
Modeling the "piston effect" in underground train stations:
A first exhaustive explanation of the P.E.T. model and a proposal to correct the errors found therein (link to the publication).
The corrected version has been submited to the LadyBug development team: to follow!
Article on the reduction of uncertainties in natural ventilation modelling in BES, in RHEVA journal.
The comfort semi-open spaces in RHEVA journal.
An extension of the previous article to PM10 and PM2.5 concerning air quality modelling in underground stations: Two-size class model.
