Axial fans (AF) are widely used in many fields such as energy production, transportation, industry, and ventilation systems, resulting in high energy consumption. From an operational point of view, axial fans are characterized by working with high fluid volume and low head, making them attractive for agro-industrial applications such as drying, grain transportation, and separation processes. In the present study, a numerical investigation was conducted using computational fluid dynamics (CFD) and the Reynolds-averaged Navier-Stokes (RANS) model to propose a methodology for determining the energy consumption of axial fans as a function of design and operating parameters. The parameters studied and their specific ranges were the shape of the hub (flat and aerodynamic), the diameter of the hub (100 and 125 mm), the blade profile (rectangular and streamlined), the inlet angle (15 \(^{\circ }\) and 55 \(^{\circ }\) ), the number of blades (3 and 5), and the rotational speed (500, 1500, and 3000 rpm). These parameters were grouped into four groups. Based on the simulation results, a Python script was created to develop a methodology that allows the graphical determination of the fan’s specific energy consumption based on the fan’s flow, its driving power, and the rotation speed. The proposed methodology accurately determines the specific energy consumption of the AF as a function of the different evaluated parameters. As grouped, none of the parameter combinations indicated a trend toward minimizing energy consumption. The combination of a 15 \(^{\circ }\) inlet angle and 3 blades proved to be the most effective in reducing energy consumption for all shape hubs and blade profiles evaluated, with the lowest value of the specific energy consumption obtained for the streamlined hub design due to the minimization of air disturbance at the entry and through the rotor. The results also indicate that the number of blades and the inlet angles are influential parameters.