The production of nickel in Cuba is one of the main export items in our economy. In recent years, its production costs have risen
significantly, with a high incidence of electricity costs, which is why it is necessary to take energy shock measures to reverse this
situation. Currently there are deficiencies in the Reduction Furnace plant related to the control of the air supply and the electric
power used by the asynchronous motors that drive the centrifugal fans, reducing the efficiency levels of the production process
and the plant in general. In order to increase the energy efficiency of the combustion process supply system and reach an optimum
control model of the airflow of this plant, variants are designed and simulated based on artificial neural networks that allow to
establish the air demand from the drive of the fans by means of variable speed drives.