Identification and deconvolution in time-varying calorimetric systems by an optimal tracking approach

Abstract

Excess partial molar enthalpies of binary liquid mixtures can be accurately measured at very low concentrations by means of continuous-injection heat conduction calorimetry. This method causes evolution of the thermal properties of the calorimeter as a function of time. In this paper it is shown that identification and deconvolution of the thermal signal are equivalent problems when dealing with time-varying systems. A signal treatment analysis is proposed based upon optimal tracking, and different numerical examples, where the actual calorimeter is replaced by a discrete RC model, are presented.