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Research On Energy-saving Technology Of Smart Heating Network In Urban Residential Buildings

Posted on:2021-03-11Degree:MasterType:Thesis
Country:ChinaCandidate:Y M ChenFull Text:PDF
GTID:2512306494996169Subject:Mechanical engineering
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Central heating is a major livelihood plan in northern my country,and it is related to the quality of indoor life for thousands of residents in winter.If the central heating system can be operated scientifically,it will not only provide residents with a comfortable heating experience,but also achieve the goal of energy saving and emission reduction.However,in reality,the centralized heating system is mostly manual operation and management,coupled with the coupling of the pipe network and the thermal inertia of the building,which makes it difficult for the heating system to operate with high quality,which not only causes the user's "uneven heating and cooling",but also Increased energy consumption.With the application and development of Io T technology in many fields,it is possible to apply Io T technology to traditional central heating.This article takes the secondary network of Jiachunyuan Community in Tianjin as the experimental object,and uses the operation platform of the Joyo Energy Management System of Tianjin Joyo Energy Technology Co.,Ltd.to conduct actual measurements.The main research contents of this paper are as follows:First,the working principle of the secondary network intelligent adjustment system is introduced in detail and the work flow route of the system is pointed out,the technical route of the secondary network intelligent adjustment system is described and the functions of each component of the system are summarized.Based on this,an intelligent adjustment system for the secondary network of Jiachunyuan Community was built.Secondly,using buildings 23-1 and 23-2 as representatives to analyze the flow rate at the heating entrance of the two heating seasons in 2018-2019 and 2019-2020,the temperature of the supply and return water,and the indoor temperature collection data of the heating users,and found that the two floors The degree of hydraulic imbalance between the buildings is decreasing;the actual heating curve is far from the designed heating curve;the indoor temperature of heating users has reached the heating standard of Tianjin.Analyzed the hydraulic imbalance and heat supply of the secondary network in the three heating seasons of 2017-2018,2018-2019,2019-2020,and found that the hydraulic imbalance of the pipe network has a significant improvement effect;2018-2019,2019-2020 heating Compared with the 2017-2018 heating season,the heat supply has been reduced accordingly,and the energy saving effect is obvious.Among them,the heating season of 2019-2020 is compared with the heating season of 2018-2019,and the heat supply in the same collection interval is reduced by 1.8%.Finally,a mathematical model of the hydraulic conditions of the secondary network in Jiachunyuan Community was established and used for the hydraulic balance adjustment of the pipe network.The proportion of hydraulically imbalanced buildings decreased from 38% in the 2017-2018 heating season to 18% in the2018-2019 heating season.Reduce to 0 in the heating season of 2018-2019.The adjustment effect is obvious.Taking the supply and return water temperature data of the two heating seasons of Building 23-1 as a model,the polyfit function in Matlab software is used to fit the relationship between the supply and return water temperature and the outdoor daily average temperature of the day,and a new supply is obtained.The return water temperature is a function of the daily average outdoor temperature.In summary,the feasibility of applying the Internet of Things technology to traditional heating is confirmed,and it can bring some substantial references for solving the problems existing in traditional heating.
Keywords/Search Tags:Internet of Things, smart heating, data analysis, hydraulic balance adjustment, heating curve optimization
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