| Saving energy and reducing consumption is the theme of industrial development,reduce the production cost is the enterprise’s actual production requirement,but because of no enough attention to circulating cooling water system in our country,the system operation lack of theoretical support,cooling tower fan and circulating water pump selection allowance is too big,caused the serious waste of energy consumption,and waste of the investment cost.Under the background,Shanghai baosteel energy saving technology co.,LTD.,put forward"industrial fluid system energy saving key technology research and application" project.In this thesis,the research content as part of the subject.The problem is mainly because of the selection process of cooling water system components often considered the basic requirements of "meet the demand of the maximum heat transfer".In the selection of the components for design and matching of various heat transfer conditions lack of in-depth study.This can easily lower equipment operation efficiency,increase the operation cost,it will also waste a lot of investment cost.According to the above problem,this article based on the basis of analyzing circulating cooling water system set up the mechanism model.the main work summarized as follows:1.Circulating cooling water system equipments are varied and complex,this thesis established a mechanism model of each component.Heat exchanger and cooling tower are two core heat exchange equipment,and its model of mechanism have complex influence factors,therefore,respectively analyzing the influence of these factors on the model output,had a further understanding to the mechanism model.Study the engineering design method.These models are laid a solid foundation for the design of the system optimization.2.For the presence of the design problem of irrational equipment selection,this article establish the optimal model of equipment selection of a net circulating cooling water system,and in the establishment of the model takes into account the different operating conditions of the system,improve the accuracy of the model of the selection optimizatio,which can determine a more appropriate device models,further reducing system power consumption.3.Process integration issues are introduced,and has a brief summary of a number of solutions to process integration issues.Convert the net circulating cooling water system design optimization model into a mixed-integer nonlinear programming(MINLP)problem,solve it with Layered nesting algorithm consisting of genetic algorithm and interior point algorithm.4.We developed the circulating cooling water saving optimization software.Software includes network mapping,network parameter settings,optimization of the parameters settings,optimized operation,result output function.Finally,software optimized for specific examples,and achieved the expected results. |