  Innovative numerical scheme studied in this work enables to overcome two main
limitations of Building Performance Simulation (BPS) programs as high
computational cost and the choice of a very fine numerical grid. The method,
called Super-Time-Stepping (STS), is novel to the state-of-the-art of building
simulations, but has already proved to be sufficiently efficient in recent
studies from anisotropic heat conduction in astrophysics (Meyer et al. 2014).
The given research is focused on employment of this adopted numerical method to
model drying of a rammed earth wall with an additional insulation layer. The
results show considerable advantage of the STS method compared to standard
Euler explicit scheme. It is possible to choose at least 100 times bigger
time-steps to maintain high accuracy and to cut computational cost by more than
92% in the same time.
