Paris Gare de l'Est train station

Annual indoor spatial comfort study

A study on possible variants for the improvement of summer and winter comfort of the side halls as well as the transverse platform implementing :

  1. A CFD/BES coupling with solar fluxes for the indoor spatial comfort levels computation,
  2. A sensitivity analysis with the Morris method, on comfort objective to determine the most relevant leverages
  3. The use of genetic optimization in order to obtain the sets of parameters that maximize summer and winter comfort.

Below is an animation about the evolution of comfort levels during genetic optimization, according to the "growth" of generations:

Genetic optimization: optimal solutions evolution over generations


Each "dot" that appears corresponds to a complete comfort study (point 1 above) and each color change corresponds to a new generation. The objective of genetic optimization is to find the best compromise between summer and winter comfort (Pareto front).