The heavy duty gas turbines evolution and, consequently, a more efficient combustion process, allowed the temperature rising of the machines’ exhaust gases. Thus, more complex heat recovery steam generators were developed in order to maximize the use of that energy potential. Therefore, computational models capable to predict the operational conditions of the equipment may be needed in order to analyze the machine’s behavior for different situations, in a way to maximize the process efficiency. This thesis describes a computational model able to simulate the off-design behavior of a heat recovery steam generator operation in a combined cycle plant, emphasizing its utilization in diagnostics systems. The routines were developed using FORTRAN, each heat exchanger inside the Heat Recovery Steam Generator (HRSG) was designed individually and the calibration was done by a genetic algorithm responsible for minimizing the model’s deviations. The developed program was validated against operational data from a real plant and showed satisfactory results, confirming the robustness and fidelity of this simulation model.