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Research On Demand Side Regulation Characteristics And Optimal Operation Of Flexible Intelligent Heating System

Posted on:2024-08-14Degree:DoctorType:Dissertation
Country:ChinaCandidate:R X WangFull Text:PDF
GTID:1522307376984839Subject:Heating, Gas Supply, Ventilation and Air Conditioning Engineering
Abstract/Summary:PDF Full Text Request
The central heating system in our country generally adopts the mode of centralized control at the heat source end and unified heating for users.The system has some congenital problems such as high carbon emissions,low system energy efficiency,difficult access to clean heat source,poor adjustment flexibility,and poor thermal comfort experience of users.The appearance of intelligent heating makes it possible to solve those problems.In this context,a new type of flexible intelligent heating system is constructed,and the feasibility of demand-side regulation technology is studied in depth for the key technology in system composition.A flexible intelligent heating system is first constructed in this paper.It includes the characteristics,structure,key technologies and methods of a particular system,as well as the correlation between the various components.Key technology categories include passive control technology,clean energy technology,fault diagnosis technology and active control technology.Technical logic analysis of the flexible intelligent heating system indicates that demand side regulation is the premise and the foundation of the system’s key technical fields.It includes the physical characteristics of demand-side regulation of building heating systems as well as the system design and operating schedules used by demand-side regulation users.The physical characteristics of demand-side regulation of building heating systems mainly consists of three components: the modeling of building heating systems for demand-side regulation,the analysis of system heat stopping characteristics,and the analysis of system regulation characteristics.Based on the mathematical model of the building physical system and heating hydraulic system,a demand-side control model for a building’s heating system is developed using TRNSYS software.Following that,a demand-side regulated multi-user building heating system with water-thermal coupling is compiled and constructed based on a residential heating building,and the system model calibration and validation method are studied under large-scale calibration parameter states.During the study,it was found that for multi-user building heating systems with radiant floor heating,both cold air infiltration rates and buried pipe thermal resistance should be considered in model calibration parameters.The model can reach an accuracy level that meets these criteria only when both types of calibration parameters are calibrated simultaneously.The study of system thermal characteristics is based on the calibrated demand-side regulated building heating system model,and the unheated condition is studied as a typical condition.The design of the users’ unheated conditions considered three relative positions,four building vertical positions,two horizontal positions,and two heating conditions for heating users.The result showed that the unheated user’s location on the upper side of the heating user has the greatest effect on the room temperature and heat consumption,regardless of the location of the heating user in the building.In a building heating system with demand-side regulation,the maximum temperature difference between adjacent users is 9.8°C without opening windows or auxiliary thermal regulation devices.Through simplifying and reconstructing the calibrated demand-side regulation building heating system,two common system regulation models for floor radiation heating and radiator heating are established.The regulation models are then used to analyze the impact of key regulation parameters on the user’s indoor temperature and the related energy consumption of the system.According to the results,radiant floor heating systems and radiator heating systems are not affected by the regulation mode in terms of room temperature and energy consumption.However,the control period has a significant influence on the control effect of the multi-user building hating system.The reaction time of the floor radiant heating system is more than 4 hours,and the reaction time of the radiator system is less than 30 minutes.In the research on the system design and operation scheduling method of demandside control users,this paper analyzes the key design parameters related to demand-side regulatory users in the system design process,and gives corresponding design and calculation methods.Upon completion of the design,a two-layer planning system operation and scheduling optimization model is constructed for the flexible intelligent heating system.Lastly,case studies are used to analyze and discuss the overall design process of the flexible intelligent heating system as well as its operation and scheduling.The results show that the heat source in the flexible intelligent heating system has higher heating efficiency compared to the conventional heating system.The increment of average full load time ratio of each heat source equipment after reconstruction is 29.54%.The research of this paper will provide a complete set of theoretical methods for the system form of flexible intelligent heating system and the feasible technology of user demand side regulation in the current system environment.This means that the intelligent process of traditional heating systems will not just remain in the descriptive stages of system layout and system characteristics,but can also develop a system design and operation method that is far more feasible.Its research results play a major role in shaping the future energy supply structure of urban heating systems into a clean one,and promoting the intelligent development of traditional heating systems.
Keywords/Search Tags:flexible intelligent heating system, demand-side regulation, multi-user heating building, heated characteristics, regulatory characteristics, optimizing operation
PDF Full Text Request
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