Applied Research Of Energy System Management On Large Public Buildings

With the rapid development of industrial civilization, oil, coal and otherresources in the earth can be usedin building are dwindling. The general trend of theenergy crisis is inevitable. Due to the limitation of science and technologydevelopment, the human solve the problem of energy crisis fundamentally and findout new energy will take time. Therefore, how to achieve efficient energyconservation has become the key of solving the problem.The building energymanagement system based on the big data analytics can be used to seek andanalyzeinformation frommassive data, sort, to find the potential way to handle themassive energy monitor data and achieve energy saving, which will play an importantrole in building energy savings.This thesis focuses on three integrated energy conservation theory andoperational research, including power quality management contro l and optimization,intelligent integrated management of energy efficiency, comprehensive energy-savingin public institutions and large public building. Firstly, the research overview the keytechniques for the society progress, and better understanding t o our production andliving in comprehensive energy saving, provide theoretical basis. Secondly, theexisting researches and typical technology of the power quality management controland intelligent optimization, the energy efficiency management, public i nstitutionsand large public comprehensive energy conservation are firstly discussed. Then, thetechnical problems in the application are proposed, in which the management,personnel and technology are three key aspects of these technical problems requiredto be solved. Based on the technology, the three optimization policy in theirrespective fields, and the typical policy research in the application of the Engineeringcenter are analyzed. The potential risks for the application of the technology arediscussed. Finally, the comprehensive energy saving in the application of theEngineering center is analyzed.This thesisprovides the research on the basic properties of the typical technology,the basement of the existing energy-saving intelligent optimization, and theriskanalysis ofapplying the typical technology of in industry. The research is helpfulforthe optimization and monitoring in building energy management of big data,provides the theoretical and technical guidance to the integrated energy saving a nd building energy management, and gives an important way to achieve the goal ofenergy savings and develop the resource saving and environment friendly society.