Research On Optimal Operation Control Of Campus Heating System Based On TRNSYS

With the increasing demand for building heating and the in-depth advancement of energy conservation and emission reduction work in my country,reducing campus energy consumption is of great significance for promoting a conservation-oriented campus.At the same time,due to the rapid development of technology,more smart devices are used in the field of heating,which greatly improves the quality of central heating and energy use.In the campus heating system,due to the different functions undertaken by the building,the difference in heat demand is large,and the adjustment has the characteristics of periodicity and phase,etc.,which requires higher control of the heating system based on room temperature feedback.In this paper,based on the characteristics of campus public heating operation,based on TRNSYS modeling and machine learning methods,the campus heating system optimization operation control strategy is studied.First,based on the actual campus heating system,a mathematical model of each part of the heating system from the heat exchange station to the heat user is established.Call the modules required by the system in TRNSYS,make the corresponding module connections and parameter settings according to the connection relationship of each part of the actual system,and modify the model through debugging and operation,and realize the thermal dynamic simulation model of the heating system based on TRNSYS software Building.And based on the actual campus heating system operating data based on the model verification.Secondly,according to the thermal characteristics of schoolyard buildings,a form of time-sharing heating strategy system is proposed.The rise and fall values of the indoor temperature of buildings at different outdoor temperatures,different preheating times and heat-stopping times are studied.The determination of the start and stop time provides a basis.Through TRNSYS simulation of public buildings in the middle and end of heating,pre-heating and heat-off programs at different periods are obtained,so that the heating system can resume normal heating in the next day in time.At the same time,in the operation phase,a linear regression algorithm is used to fit the calculation model of the target opening of the thermal inlet room temperature adjustment valve,and the valve opening to be adjusted is calculated according to the temperature difference between the current room temperature and the target room temperature,based on the operating data Adjust the valve opening in real time to maintain room temperature within the set range.Finally,taking the actual heating system of a campus as an example,the application analysis of time-sharing optimal control strategy is carried out.Based on the actual operating data in different test periods before and after the transformation,the system heating energy consumption and room temperature deviation are analyzed to verify the engineering practicability and energy-saving effect of the optimal adjustment method.The analysis results show that the time-sharing optimal control method proposed in this paper can implement accurate time-sharing control on campus buildings,and the energysaving benefits are obvious.