Data-driven Modelling of Thermal Solid Sorption Storage Systems

An approach fofsr data-driven modelling of open sorption storage systems using zeolite as material is presented. The overall dynamic simulation model has the inflow air stream mass flow and absolute humidity inputs computes outflow temperature. sub-divided into several components, where state space process identification techniques are applied. A comparison proposed technique with simulated data from a validated based on first principles shows that reasonable accuracy − for application in temperature control design can be obtained. It was found strategy, only limited number experiments required, thus saving experimental time. Moreover, computational requirements greatly reduced compared to differential equations discretised time must solved.