| Under the background of new urbanization, urban complex has gradually become an important project carrier for the development of new urban district and the transformation of the old district. Urban complex cold and heat supply project are expensive, long construction period, operating cost is high and complex management. Reasonable configuration of parameters of cold and heat source is very important. In particular, it is very important to optimize the distribution of cold and heat source. It directly affects the cost of construction,property management and maintenance costs and management level.Firstly, in order to optimize the cold and heat source pipeline, the load characteristics of the cold and heat source system are analyzed. In this paper, De ST software is used to simulate the dynamic load of the typical urban complex, and the load characteristics of urban complex containing three formats of office and hotel apartments are analyzed. The results show that most of the running time of the cold and heat source system of urban complex is less than70% of the peak load.Secondly, the combination of cold and heat source system load characteristics of the urban complex, and cold and heat source system factors, targeting the lowest cold and heat source pipeline annual conversion cost of the as the optimization objective, the establishment of the urban complex of cold and heat source pipeline optimization mathematical model.Using Matlab software, using genetic algorithm, the preparation of the city complex cold and heat source line of the mathematical model of the solution procedure.Finally, by using the above method, to Beijing for an urban complex of cold and heat source pipeline system were design optimization, adaptive discriminant pipe flow direction and flow rate distribution, calculated to adapt to various conditions of cold and heat source pipeline annual conversion cost lowest design scheme. On the premise of economy, improve the pipeline under different conditions the ability to adapt, can achieve the purpose of saving the overall cost compared with the conventional method. |