Research On Design Optimization Of Clean Circulating Cooling Water System

Energy saving and emission reduction is one of the basic national policies in China,and it is also an important measure for steel enterprises to realize sustainable development.The clean circulating cooling water system is a vital part of the production process of iron and steel enterprises,which plays an important role in improving equipment operation efficiency and ensuring production safety.However,the system not only consumes a lot of water resources,but also consumes a lot of energy in the industrial process.With less experience about design of clean circulating cooling water system,there are many unreasonable aspects in the design of some existed systems,which causes a large amount of resources wasted.Therefore,it’s necessary to improve the ability of clean circulating cooling water system in water saving and energy saving.Aiming at the problem of resource waste caused by unreasonable design of some clean circulating cooling water system,the optimization design of pipe network system was studied in this paper,so as to lay a method foundation for the newly built pipe network system to meet the requirements of water saving and energy saving in enterprises.The main research work of this paper is summarized as follows:(1)The main components of clean circulating cooling water system were studied and the mathematical models of each component were built,including cooling tower,fan,pump and heat exchanger.In addition,the engineering design method and procedure of heat exchanger and cooling tower were analyzed emphatically(2)With the goal of minimizing the total costs,the optimization models of the main components of the circulating cooling water system(water pump,heat exchanger and cooling tower)were established,and the genetic algorithm was used to solve the design optimization problems of each component.(3)Based on the idea of superstructure,the heat exchanger network model of the clean circulating cooling water system was established.The system design variables were classified,and the system design optimization objective function and constraints were determined in order to establish the design optimization model of the clean circulating cooling water system.Considering the problem that the basic genetic algorithm is easy to fall into the local optimum when solving the problems of complex overall system design optimization,the simulated annealing algorithm and genetic algorithm are combined to propose a hybrid integer nonlinear method based on genetic simulated annealing algorithm.(4)Finally,on the basis of the above research,a simulation platform of the clean circulating cooling water system was developed,which provides a good simulation platform for optimization research of system design.