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Study On Control Optimization Of Intelligent Public Buildings Energy Management System

Posted on:2009-04-04Degree:MasterType:Thesis
Country:ChinaCandidate:X H ChuFull Text:PDF
GTID:2132360272971575Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
With the growing emergence of large buildings and the universal application of central air conditioning, energy consumption of the building is greatly increasing, the worldwide energy shortage is becoming more and more serious, therefore, improving the capacity usage ratio, using energy more reasonably and efficiently and promoting the energy-saving of large construction has become very important.At present, many enterprises and research institutes have taken various measures and methods, from different levels and perspectives on the implementation of intelligent management to counter with large-scale building, tried to achieve energy-saving. One method of energy-saving which is most widely adopted in large-scale public buildings is the installation of automatic control system. Although some achievements have been made on improving the management level and realizing the overall energy consumption, because only in the energy-saving equipment for monitoring, based on a lack of overall energy consumption analysis and management measures scheduling, energy saving effect is not ideal on whether the practical effect or the system. Therefore, based on the analysis of the scanted original large-scale public buildings energy management system, and learn from their successful experiences, obtains from the feasibility of measures which enhance energy conservation, to be directed against large-scale public buildings with the mechanical and electrical equipment, especially the energy saving of central air conditioning system and lighting system, the paper has given optimized control methods.The goal of the research is based on the integrated control system of buildings in a city business district, analyzed the intelligent energy management system, and discussed the model of the building energy control system. Combined with new methods and new technologies of integration and software engineering of the intelligent building systems, the paper did some research on hardware and software platform support of optimize operation of the building energy system, explored how to realize building energy system optimization, achieved the purpose of energy-saving and enhanced the energy efficiency.First of all, according to the analysis of the building energy control system, with the help of information systems integration to achieve a sharing of all kinds of information resources of the building. Secondly, based on human thermal comfort of air-conditioning system, new air system, lighting system we built a typical model of the control room, getting the realization of the energy management system for central air-conditioning system's, According to the entire building on the use of energy and functional control requirements we can realize optimum control of building elevator systems, variable power distribution system, water supply and drainage systems, electrical and mechanical equipment in order to achieve the overall effect of energy conservation.In short, the biggest innovation is the research on the main factors which impact the building energy consumption and the propose of the synthesis optimization control methods to the building energy consumption, that is, on the basis of the full use of the existing building automation system, monitoring the central air-conditioning system to achieve the optimized control of various electrical and mechanical equipment related, meet energy demand of the building and improve the interactive association among the devices to arrive at the overall optimization. Through information processing of the central management system, synthesizing both and other correlation data to obtain the energy consumption condition in the entire construction, then making the instruction to the energy dispatch and decision-making.
Keywords/Search Tags:Energy management system, The efficiency of energy transfer, Energy efficiency, Integrated optimization
PDF Full Text Request
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