부산대학교 도서관

To minimize the simulated performance error of gas turbines, traditional adaptive methods are mainly concerned with the tuning of cycle design point and component maps given by the manufacturer, usually ignoring the fact that performance at cycle design point may not match the field data due to the deviation between test-rig conditions and field conditions. In this paper, a new tuning scheme of the cycle reference point is proposed to minimize the simulated errors simultaneously at design point and off-design points. The scheme is composed of a backward iteration algorithm and a genetic algorithm. During the backward iteration, the field data at the maximum operating condition is selected to obtain the initial cycle reference point with several undetermined parameters. Further, the genetic algorithm is used to optimize the undetermined parameters. The accuracy of the proposed method was validated by the simulated performance of a PGT25+ gas turbine.