An original surrogate model form adapted to thermal systems is presented.
The approximations use a product of variable power laws of dimensionless numbers.
The models are light and compact with good predictive accuracy over a wide range of the variables.
The regression process can be used for sizing and optimization of multidisciplinary systems.