The operation condition of the cold-end system of a steam turbine has a direct impact on the economy and security of the unit as it is an indispensible auxiliary system of the thermal power unit. Many factors influenc...The operation condition of the cold-end system of a steam turbine has a direct impact on the economy and security of the unit as it is an indispensible auxiliary system of the thermal power unit. Many factors influence the cold- end operation of a steam turbine; therefore, the operation mode needs to be optimized. The optimization analysis of a 1000 MW ultra-supercritical （USC） unit, the turbine cold- end system, was performed utilizing the back propagation （BP） neural network method with genetic algorithm （GA） optimization analysis. The optimized condenser pressure under different conditions was obtained, and it turned out that the optimized parameters were of significance to the performance and economic operation of the system.展开更多
Cold-end systems are heat sinks of thermal power cycles,which have an essential effect on the overall performance of thermal power plants.To enhance the efficiency of thermal power plants,multi-pressure condensers hav...Cold-end systems are heat sinks of thermal power cycles,which have an essential effect on the overall performance of thermal power plants.To enhance the efficiency of thermal power plants,multi-pressure condensers have been applied in some large-capacity thermal power plants.However,little attention has been paid to the optimization of the cold-end system with multi-pressure condensers which have multiple parameters to be identified.Therefore,the design optimization methods of coldend systems with single-and multi-pressure condensers are developed based on the entropy generation rate,and the genetic algorithm(GA)is used to optimize multiple parameters.Multiple parameters,including heat transfer area of multi-pressure condensers,steam distribution in condensers,and cooling water mass flow rate,are optimized while considering detailed entropy generation rate of the cold-end systems.The results show that the entropy generation rate of the multi-pressure cold-end system is less than that of the single-pressure cold-end system when the total condenser area is constant.Moreover,the economic performance can be improved with the adoption of the multi-pressure cold-end system.When compared with the single-pressure cold-end system,the excess revenues gained by using dual-and quadruplepressure cold-end systems are 575 and 580 k$/a,respectively.展开更多
文摘The operation condition of the cold-end system of a steam turbine has a direct impact on the economy and security of the unit as it is an indispensible auxiliary system of the thermal power unit. Many factors influence the cold- end operation of a steam turbine; therefore, the operation mode needs to be optimized. The optimization analysis of a 1000 MW ultra-supercritical （USC） unit, the turbine cold- end system, was performed utilizing the back propagation （BP） neural network method with genetic algorithm （GA） optimization analysis. The optimized condenser pressure under different conditions was obtained, and it turned out that the optimized parameters were of significance to the performance and economic operation of the system.
基金supported the National Key R&D Program of China(No.2018YFB0604405).
文摘Cold-end systems are heat sinks of thermal power cycles,which have an essential effect on the overall performance of thermal power plants.To enhance the efficiency of thermal power plants,multi-pressure condensers have been applied in some large-capacity thermal power plants.However,little attention has been paid to the optimization of the cold-end system with multi-pressure condensers which have multiple parameters to be identified.Therefore,the design optimization methods of coldend systems with single-and multi-pressure condensers are developed based on the entropy generation rate,and the genetic algorithm(GA)is used to optimize multiple parameters.Multiple parameters,including heat transfer area of multi-pressure condensers,steam distribution in condensers,and cooling water mass flow rate,are optimized while considering detailed entropy generation rate of the cold-end systems.The results show that the entropy generation rate of the multi-pressure cold-end system is less than that of the single-pressure cold-end system when the total condenser area is constant.Moreover,the economic performance can be improved with the adoption of the multi-pressure cold-end system.When compared with the single-pressure cold-end system,the excess revenues gained by using dual-and quadruplepressure cold-end systems are 575 and 580 k$/a,respectively.
