| Energy conservation and emission reduction is a problem of the worldwide concern, plenty of waste heat is wasted in the industrial production and because of low-grageb especially low-temperature waste heat can not be well use. Take the cement industry as the research object and use the Matlab software and mathematical partial differential to select optimized pure low-temperature waste heat generate electricity mode.Establish the first generation of pure low-temperature waste heat generate electricity of thermodynamic system mode, through the comparison of mixed thermal efficiency of calculation, select the best mode.Make optimal allocation for compound flashing tonifying qi type waste heat power generation systems for flashing parts by using mathematical partial differential, combine with related parameters boundary conditions of the first generation of pure low-temperature waste heat generation and the mixed thermal efficiency of the definition, fit the relationship diagrams of each related parameters and the mixed thermal efficiency by using Matlab software, through the analysis of graphical, select optimal parameter values and the biggest thermal parameter which influence the mixed thermal efficiency.Find out the relationship figure the biggest multiple thermal parameter which influence the mixed thermal efficiency and the mixed thermal efficiency by using Matlab software, comprehensive analysis these thermal parameter of the best value and the mixed thermal efficiency of the maximum, select the optimal compound flashing tonifying qi type heat power generation system.Compared economic benefits and social benefit before and after, the results showed that the optimized system significantly higher than before.Through the research on topics, deepen theory to select the optimized pure low-temperature heat generation system and its programming process, especially flashing pressure distribution which derived by using mathematical partial differential, reduced the cumbersome optimization process, at the same time, worked out the best thermal parameter value by graph, also reduced the optimization process of the multiple thermal parameter values which involved in programming that it is complex and difficult to realize. The conclusion and flashing pressure of the universal formula of optimal allocation which has very important theoretical and practical significance to cement enterprises to establish pure low-temperature waste heat station. |