Modeling and optimization of a utility system containing multiple extractions steam turbines

• Published in: Energy (Oxford) 2011-05, Vol.36 (5), p.3501-3512
• Main Authors: Luo, Xianglong, Zhang, Bingjian, Chen, Ying, Mo, Songping
• Format: Article
• Language: English
• Subjects: Applied sciences; Combined power plants; Computer simulation; Decomposition; electric power; Energy; energy balance; Energy. Thermal use of fuels; Engines and turbines; equations; Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc; Exact sciences and technology; Installations for energy generation and conversion: thermal and electrical energy; Mathematical modeling; Mathematical models; Multiple extractions; operating costs; Optimization; steam; Steam electric power generation; Steam turbine; Thermodynamics; Turbines; Utilities; Utility system
• ISSN: 0360-5442
• DOI: 10.1016/j.energy.2011.03.056

Complex turbines with multiple controlled and/or uncontrolled extractions are popularly used in the processing industry and cogeneration plants to provide steam of different levels, electric power, and driving power. To characterize thermodynamic behavior under varying conditions, nonlinear mathematical models are developed based on energy balance, thermodynamic principles, and semi-empirical equations. First, the complex turbine is decomposed into several simple turbines from the controlled extraction stages and modeled in series. THM (The turbine hardware model) developing concept is applied to predict the isentropic efficiency of the decomposed simple turbines. Stodola’s formulation is also used to simulate the uncontrolled extraction steam parameters. The thermodynamic properties of steam and water are regressed through linearization or piece-wise linearization. Second, comparison between the simulated results using the proposed model and the data in the working condition diagram provided by the manufacturer is conducted over a wide range of operations. The simulation results yield small deviation from the data in the working condition diagram where the maximum modeling error is 0.87% among the compared seven operation conditions. Last, the optimization model of a utility system containing multiple extraction turbines is established and a detailed case is analyzed. Compared with the conventional operation strategy, a maximum of 5.47% of the total operation cost is saved using the proposed optimization model. ► We develop a complete simulation model for steam turbine with multiple extractions. ► We test the simulation model using the performance data of commercial turbines. ► The simulation error of electric power generation is no more than 0.87%. ► We establish a utility system operational optimization model. ► The optimal industrial operation scheme featured with 5.47% of cost saving.