Research On Optimized Design Of Network For Heating And Cooling

With the improvement of China’s urbanization level, the quality of the livingconditions of the residents have become increasingly demanding, cascade utilization ofenergy resources, the implementation of centralized supply of hot and cold, to meet theresidents of hot and cold demand has become a trend, therefore, we propose a pipenetwork configurations-hot and cold pipe network sharing, namely the use of a pipenetwork, water delivery to the user in winter and summer transport of cold water to theuser.This article is designed to constitute a common factor in the cold pipe network lifecycle cost analyzes, to establish the mathematical model, a clear correlation of hydraulicconstraints, a set of optimal design methods, and identified using genetic algorithms asoptimization design principles, using MATLAB software tool for the geneticoptimization toolbox.In this paper,"Investment Estimate Municipal Engineering Indicators," the eighthbook of central heating heating network project as a basis for Shandong Weifang districtheating pipe network in the case of various sizes Buried sleeve diameter compensationcosts directly earthworks and pipes installation costs were calculated by linearregression coefficient of a pipe network characteristics and material factor b, andengineering computing Weifang City locations linked to the heating pipe network forboth renovation and new regions associated cold cold for pipe network designengineering situations were presented in two configuration options pipe network and itsoptimization one by one.In this paper, after the last of both cooling and heating for heating pipe networktransformation and new regional cold supply pipe network linking the two casesseparately to optimize engineering design of the programs one by one life-cycle costanalysis, and then compare and draw dual control of hot and cold pipe network issuperior to the common cold sensitivity quadruple conclusion points for pipe networksystem, and hot and cold main factors shared network costs are analyzed.