A polynomial model was presented in order to predict the coefficient of performance with a determination coefficient of 0.9919.

This work aimed to present a methodology that provides a simple solution for the analysis of a heat transformer.

The operation variable with the largest contribution to the determination coefficient is the absorber pressure.

The polynomial model was compared with an artificial neural network reported in the literature.

The polynomial model could be used to assess in the heat transformer technology integration in chemical industry.