Through designing simulation experiments of low temperature waste heat power generation system

performance and factors of cogeneration system were researched. Through the study of experimental data

the speed of the turbine and the working fluid vapor pressure both have an optimal value

can make the system to achieve maximum power output. For studying the question of maximum power output

the BP neural network was built

experimental data was used on BP network training

and the system model was established based on BP neural network.