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Optimization Of Central Heating System Energy Saving Control Technology Research

Posted on:2014-10-10Degree:MasterType:Thesis
Country:ChinaCandidate:J W FengFull Text:PDF
GTID:2252330425452104Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
Fossil fuels are burn for Heating in winter, it consumes a lot of energy, and will causeserious environmental pollution, there is a big space for energy conservation and emissionsreduction. With the improvement of energy conservation and heating quality, heating energysaving technology is more and more advanced and diverse. Centralized management forcentral heating, it will bring a series of benefits, for example: It is easy for heat consumers touse, and can reduce the degree of the environment pollution and save energy. In recent years,central heating is developed rapidly in our country, but there are a lot of defects in manycentral heating systems such as: low automation level, the pipe network leakage, serioushydraulic imbalance, serious waste phenomenon, heat supply quality poor, central heatingautomatic control and energy saving optimization is imperative.This paper put forward a series of methods for central heating and energy saving inorder to save the present main problems of central heating. Take the Weifang University forexample, this paper studied the research of the existing energy saving technology, andconsidered the balance of the system. The system establish the Monitoring platform, makeuse of the scientific calculation model for reasonable adjustment control, optimizing theheating condition, improve the heating quality, reduce the operating costs. Put forward a kindof thermal load calculation model by further research, provide the basis for adjusting heatload accurately.This precept put forward the time-sharing partition control scheme according to thedifferent buildings heating characteristics of Weifang University. The time-sharing partitioncontrol method divides indoor temperature into normal heating temperature and anti-freezingtemperature according to different time between different buildings, it saves a lot of heat bythis way. Central heating system is a nonlinear and time-varying system, it has the hystereticnature.Adjust the thermal load according to the experience cannot always meet the demand ofheat consumer and waste a lot of heat. Heat load calculation method, this paper studied theexisting building envelope heat load calculation method, put forward dynamic heat loadcalculation model on the basis of existing building envelope heat transfer steady-statecalculation and dynamic calculation method, then provides the scientific basis for the heatload adjustment in system combine with the flow calculation; The paper studied the heat loadadjustment method, designs the thermal load control apparatus in order to adjust heat load byvariable-flow-control way precisely and reduce the hydraulic imbalance phenomenon. Inorder to ensure the system run stably, the system adopts temperature compensation to avoid adjusting device switch too frequently, allowing the indoor temperature ranges in a certainrange; The hydraulic adjustment of the system use the circulating pumps in parallel way, thecirculating pumps adjust the backwater traffic, reduces the power loss rate.This article adopts the Siemens programmable controller as the core control unit, thesystem adopts two industrial PC as upper computer monitoring center to conduct acomprehensive monitoring, then monitor and control the running status of the whole systemremotely. Communication network adopts the way of cable+flexible wireless network modeaccording to the cost and distance, signal intensity and stability factors. human-computerinterface adopts the touch screen to realize man-machine communication, it is designed withconfiguration software.After a period of running time, it shows that the system saves energy obviously, reducesthe hydraulic imbalance phenomenon effectively, meets the requirements of the heatconsumers, improves the heating quality.
Keywords/Search Tags:central heating, energy saving optimization, heat load calculation, time-sharingpartition control, frequency conversion control
PDF Full Text Request
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