Development of mathematical model of P-102 waste heat boiler for modes of joint operation with GTU-6P gas turbine unit

Abstract

Application of the power plant based on GTU-6P gas turbine engine and P-102 waste heat boiler is a proven example of an effective technical solution to modernize existing industrial boiler houses and low-capacity combined heat and power plants. To improve the power plant, as well as to prove the effectiveness of its use under conditions of various power facilities, a mathematical model is needed. This model is the result of the synthesis of mathematical models of a gas turbine plant and a waste heat boiler. P-102 waste-heat boiler as an object of modeling has significant features, since it allows both autonomous operation and operation with the utilization of heat of GTU-6P flue gases. The purpose of this study is to develop a mathematical model of P-102 waste heat boiler for joint operation with GTU-6P in the adjustment range limits of loads. The mathematical model of the waste heat boiler is developed using the TRAKT software package. The development of a mathematical description for a rapid assessment of the plant efficiency indicators is carried out using the methods of regression analysis of data. The indicators of accuracy of the mathematical model are evaluated by comparison with experimental data. Experimental data is obtained under the operating conditions of the power plant of the type under consideration. The authors have developed a mathematical model of P-102 waste heat boiler in joint operation with GTU-6P gas turbine engine. The performance of the equipment is described with an accuracy acceptable for practical calculations. The mathematical model developed in the TRAKT software package makes it possible to solve the problems of mode optimization of a power plant. The calculation results obtained using this model differ from the operational data by an average of 2,2 %. The mathematical description for the rapid assessment of the plant efficiency indicators is characterized by the uncertainty of 6,3 %.