The use of technologies for increasing distributed electric energy generation, particularly gas fired microturbines, has been lately growing due to the energies crisis many countries, including Brasil, have experienced, which is an incentive to an independent electric energy production. Procedures have been developed to check microturbine performance data for commissioning purposes. When somebody buys an energy production plant, its start-up can only be accomplished when manufacturers data matches the design data within an agreed uncertainty band, thus qualifying the previously made feasibility studies. Many procedures are detailed for checking the performance data under testing conditions, and extrapolating them for different ones. Power, gas consumption, gas emissions, electric energy quality (including harmonic distortion and frequency) are among the usually measured parameters. Data acquisition frequency is usually specified to match specified equipment behaviour under stable test conditions. Also, the uncertainty of the measurement instruments are usually specified, without, however, defining the expanded uncertainty of the calculated parameters, which are used to characterize their performance. This work presents a method for evaluating the gas fired microturbine performance data for electric energy generation, together with a methodology for calculating the uncertainty of parameters that characterize its performance for commissioning purposes, starting up from the uncertainty of the measurement instruments, and making a critical analysis of the measurement goals. The methodology is based on most recently used metrology concepts, so that reliable results can be achieved, uses ISO reference conditions for specifying equipment performance data for comparison purposes and follows U.S. Environment Protection Agency directions for specifying performance goals.