System identification allows the development of a dynamic model of a process. Such techniques have been applied also to the processes describing the thermal performance of buildings. Such a technique is the estimation of stochastic state space models. The aim of this paper is to investigate whether this technique could model the thermal performance solar pond scale models. The identification results allowed the modeling of the ponds thermal performance both with a physical model, based on the state space equations and with an ARMAX model.