Research On Optimal Operation Control Strategy Of Campus Heating System

With the progress of science and technology,heating system is gradually developing towards intelligent control.Many campuses,energy saving companies and urban heating companies have begun to invest a lot of energy in the intelligent control of heating system.The heating buildings in the campus heating system are densely distributed,with diverse functions,different and periodic rules of heat use,and unique characteristics of intelligent control for optimized operation.According to the characteristics of campus public buildings and residential buildings,this paper carried out the following research on the optimal operation control strategy of campus heating system.For the public buildings on campus,this paper firstly puts forward the form of time-sharing heating strategy system based on the characteristics of heat use in the public buildings on campus.Then the influence of night low temperature operation on room temperature and backwater temperature was studied to provide reference for the consideration of anti-freezing in the operation strategy of time-sharing heating.Through simulation of typical public buildings by EnergyPlus,a time-sharing operation time scheme is obtained to enable the heating system to resume normal heating in time for the next day.Finally,the paper puts forward the preheating method of time-sharing heating system under different conditions,so that the campus public buildings can resume normal heating more quickly and improve the preheating efficiency.For residential buildings on campus,this paper studies the user-controlled heating regulation strategy based on heat metering.Firstly,the method of adjusting the uniformity of secondary network is optimized,and the adjustment method of combined correction of backwater temperature and indoor temperature is put forward.Then the system form of self-regulating heating for residential buildings is designed.This paper expounds the principle of determining the range of the user's room temperature regulation,and puts forward the user's self-regulated heating strategy based on temperature difference and heat balance.Then the determination of sampling period at room temperature is studied based on building thermal inertia.Finally,the hydraulic decoupling strategy under the self-regulation mode of residential users is studied to analyze the decoupling effect of differential pressure control valve when installed in different positions,and the decoupling strategy of layered differential pressure control valve is proposed.Heating system is divided into two kinds: single building and multiple building,and the overall optimal operation control strategy of the campus heating system is studied.The coupling of heating system of single building type is weak.For the heating system of various building types,the hydraulic influence of the optimal operation regulation of various buildings on the secondary network is studied firstly.On this basis,the decoupling control strategy based on equalizing tank and differential pressure is proposed.At last,the control model of the heat exchange station is studied,and the PID control of variable frequency decoupling of the pump in the heat exchange station is simulated and analyzed by MATLAB.Finally,the optimization operation and application analysis of the actual heating system in a campus is carried out.Firstly,the thermal environment of the heating room before optimization is analyzed and evaluated.Then,the optimization operation system of the actual existing heating system is transformed.This paper studies the time-sharing heating operation strategy of public buildings on campus and the self-regulation operation strategy of users of residential buildings,so as to provide ideas for the construction of intelligent heating system on campus.