This work aims to predict if the gas turbine SGT-800 (57 MW) can cope with a fuel change from methane to hydrogen. Therefore a physical simulation model of this gas turbine is created in Ebsilon Professional. This physical simulation model is reverse engineered from the correction curve model of the SGT-800 (57 MW) in Ebsilon Professional. Reverse engineering is subdivided into four major steps. The first one is the creation of the physical simulation model. In this step, the gas turbine SGT-800 (57 MW) gets modeled as closely as possible. Some of the parameters in this model are set by regressions. The second step is the so-called Reference Run. This step aims to generate data for fitting the regressions used in the physical simulation model. Since the regressions are not fitted at this stage, the physical simulation models take these values from the correction curve model. At this point, the physical simulation model cannot make stand-alone calculations. After the needed data is generated, the regressions used in the physical simulation model are fitted. With these fitted regressions, the model can make stand-alone predictions. The third step is the Validation Run. The Validation Run aims to see if the physical model can predict close enough results compared to the correction curve model. After this is true, it is assumed that the physical simulation model can properly model the behavior of the gas turbine SGT-800 (57 MW). In the last step of the so-called Hydrogen Run, the fuel changes from methane to hydrogen. The results of this Hydrogen Run show that the fuel system tends to use too much fuel. The reason for this is a change in the expansion behavior of the flue gas. This additional fuel consumption results in a higher turbine power generation of about 2 MW. It also causes a rise in the firing temperature. This rise in the firing temperature can cause damage to the turbine. This thesis concludes that the fuel control system has to be adapted if the fuel gets changed from methane to hydrogen